#SpeakAI

[aiwikiweb]

Could AI Tutors Like Speak AI Replace Traditional Language Classes?

AI-driven language learning platforms like Speak AI offer personalized, convenient learning experiences that help users improve their fluency by speaking out loud and receiving real-time feedback. Could these AI tutors eventually replace traditional language classes? Let’s explore this thought experiment.

Scenario: Imagine a future where AI tutors like Speak AI are the primary method for learning new languages. With 24/7 availability, personalized lessons, and instant feedback, learners no longer need to attend traditional classes to achieve fluency. AI tutors adapt to each user’s learning style and pace, making language education highly individualized and effective.

Analysis:

Potential Benefits:

Personalization: AI tutors provide a learning experience tailored to the needs, pace, and interests of each learner, which may be more effective than the one-size-fits-all approach of traditional classes.

Accessibility: Learning a new language becomes more accessible with AI tutors available anytime, allowing users to practice whenever it suits them.

Challenges:

Human Interaction: Traditional classes offer the benefit of real human interaction, allowing learners to practice with peers and learn from the experiences of others, which is challenging for AI to fully replicate.

Motivation and Accountability: While AI tutors can motivate learners, the social environment of a classroom can provide accountability and encouragement that may be lacking in solo learning.

Do you think AI language tutors like Speak AI could replace traditional classes, or is the human element still essential to language learning? Share your thoughts below!

Join the discussion about the future of language learning with Speak AI. How do you see AI transforming language education in the years to come?

[seven23ai]

Could Speak AI Transform Global Communication?

Imagine a future where language barriers no longer exist, and everyone can communicate effortlessly, regardless of the language they speak. Could Speak be the tool that transforms global communication?

Main Content:

Scenario: Consider a scenario where Speak is used by individuals and businesses worldwide to facilitate seamless communication across languages and cultures. What if AI could not only translate languages but also understand and convey cultural nuances, making global conversations more meaningful and effective?

Analysis: This level of AI integration could significantly enhance global communication, fostering better understanding and collaboration across cultures. However, it also raises questions about the potential loss of linguistic diversity and the role of human interpreters in a world dominated by AI-driven communication tools.

Engagement: What do you think? Could AI-driven communication tools be the future of global interaction, or will there always be a need for human input? Share your thoughts and let’s explore the possibilities together.

Join the discussion! How do you see AI impacting the future of communication - https://aiwikiweb.com/product/speak/

[deandacosta]

SpeakAI https://t.co/cn7IePHOQy

http://dlvr.it/SrxSMJ

[kai-and-their-mess]

22, i grew up with a gay aunt and grandma (who i didnt realize was gay until highschool) so thankfully being gay was a pretty widely excepted concept in my family, but i never thought i could be it and when i met someone who was "gay coded" (flamboyant, a little feminine, open with his feelings) for the first time in highschool i remember lots of the kids (ashamed to say i also participated) teasing him for it and he wasnt even out yet

my middle and highschool had a very weird acceptance of gay people. everyone would gently tease actual gay people and then accuse others of it and gently shun them it was weird, we all collectively stopped being dickheads about it as we met our first openly gay teacher in highschool (the middle and highschool are connected) but then why couldnt we afford that same acceptance to our eccentric middle school teacher who was loud and acted in unexpected ways? my school went from being "lovingly hostile" towards the gay community to being quietly yet firmly accepting of them.

alot of us came out as gay in highschool! we had so many bi girls and lesbians, the gay male population was still a little hush hush but we had grown! we had learned! hell i remember we even had a trans student, didnt meet him until my second to last year, and i dont think he was fully out as trans or anything yet either, but i do know that when he graduated in my junior year no one was really fully surprised to see him change his name on facebook and start living as a man

to think that now? small kids are not only realizing their trans but also (im some places at least) gaining rights to be openly trans is amazing and wonderful and something i wish i had back in highschool when using the girls restroom and getting the monthly started to make me feel deeply uncomfortable and unwelcomed in my own body. i owe my current gender identity not to the people i grew up around irl but to the friendships i made and maintained over the internet, its thanks to them i learned what being trans was and its thanks to them that the concept of being non-binary was ever planted in my head

these things werent common knowledge and when i learned about non-binary genders i felt i had been told a secret that i couldnt share with anyone. i know im not as old as others on this post and that i am more or less part of the swing generation but even im amazed and happy at how far things have come.

Do high school kids these days just have trans classmates now. Like I keep seeing zoomer posts casually referring to it. Fucking wild if true.

[un-enfant-immature]

Meet the European startups that pitched at EF’s 11th Demo Day in London

Entrepreneur First (EF), the company builder and “talent first” investor, held its eleventh Demo Day in London this afternoon. The event included newly formed startups from EF’s London, Berlin and Paris cohorts, and represented a showcase of the investor’s now pan-European reach.

Once again, the pitches took place in front of a near-overcapacity crowd at King’s Place in London’s King Cross area, and this time around saw a 29 startups pitch their wares to investors, press and other actors in the European tech scene.

EF stands out from the many other demo days that the U.K. capital city hosts because of the way the investor backs individuals “pre-team, pre-idea” — meaning that the companies pitching only came into existence during the three programmes and perhaps may never have seen the light of day without the founders bashing heads at EF.

The latest demo days also comes shortly after EF announced it has raised a $115 million new fund led by a number of leading (mostly unnamed) institutional investors across the U.S., Europe and Asia, including new anchor LP Trusted Insight. A number of well-known European entrepreneurs also invested including Taavet Hinrikus (co-founder of TransferWise), Alex Chesterman (co-founder of Zoopla) and EF alumnus Rob Bishop (who co-founded Magic Pony Technology, which was bought by Twitter for a reported $150 million in 2016).

See also: EF raises $115M new fund, aiming to create another 300-plus startups in the next three years

This new fund — which EF said is one the largest pre-seed funds ever raised — will enable the talent investor to back more than 2,200 individuals who join its various programs over the next three years. EF currently operates in Bangalore, Berlin, Hong Kong, London, Singapore and Paris.

Meanwhile, the themes for EF’s eleventh London Demo Day continued to reflect the company builder’s focus on recruiting the best technical and domain expert talent — both recent graduates and also people already working at tech companies. They spanned practically every gamut of tech sector you could think of.

After enduring 29 rounds of ‘pitchlash’ (up from 24 last time), TechCrunch’s picks, chosen by Editor-at-Large Mike Butcher, who attended, are as follows:

FabricNano Fast Biotechnologies Blazar Alcemy Semblr Arthronica SpeakAi Vine Health Seyo Rosecut CogniScent Neoplants

Here’s the full list of presenting teams (in their own words) with some informal notes Mike made live at the event:

FabricNano – LONDON

FabricNano designs artificial cells that produce chemicals 100x faster.

TechCrunch comment: Fermentation of things like beer has been around for thousands of years. It’s now powering the global chemicals market. But we still rely on living cells to do the hard work. Improving the living cell by 1% would save the chemical plant millions of dollars a day. This startup makes an artificial living cell which is highly efficient. The cost has come down to do this. The founders have a history in mechanical engineering and DNA. They have chemical companies testing with them, and have filed some patents. They are raising £1.5m to accelerate this whole idea. Strong pitch!

Fast Biotechnologies – BERLIN

Fast Biotechnologies revolutionizes healthcare by enabling accurate diagnosis of life-threatening infections in minutes instead of days.

TechCrunch comment: Scepsis is killing people almost as much as cancer, globally. But detecting it is slow, and people die waiting for results. This startup uses a bacterium to detect it faster, and it’s the direct result of the founder’s PhD work. It’s already being tested in the lab. The founder didn’t say how much they are raising…

Leakmited – PARIS

Leakmited detects water leaks from space.

TechCrunch comment: Sounds cool huh?! Only 6% of water is good for human consumption and we waste a lot of it in leaks. 50 billion euros worth. Fixing leaks is easy, but finding them is tough and the tech hasn’t changed in years. The idea is that leaks change the properties of the ground, which can then be detected from space using pattern recognition, up to an accuracy of 20 meters which is a 1000% improvement. They will pilot this tech in France. Strong team, strong pitch. I’m wondering if this would be relatively easily replicable by a satellite company?

Candu – LONDON

Candu is a learning platform within your app, empowering you to upskill and retain your customers.

TechCrunch comment: Ex-Stanford founder pitches a learning platform that upskills users as they use the product. On the job training for this century. This decreases churn and improves the results. Well-trained customers are more likely to use and renew a Saas product. One of the co-founders helped build Coursera, so they have history in this space.

Blazar – PARIS

Blazar uses machine learning to predict cancer response to immunotherapy.

TechCrunch comment: Treating blood cancer better with ML-based prediction. They have a team which has built previous ML products and the co-founder who presented has been a cancer researcher for the last 14 years. This is sort of weaponizing the immune system against cancer. No mention of the money they want to raise.

Alcemy – BERLIN

Alcemy’s quality prediction AI enables cement and concrete producers to cut costs and carbon emissions.

TechCrunch comment: We make a lot of concrete on this planet. It can be a complex thing. But it’s often made stronger than it needs to be. Until recently it took a month to test the strength of the concrete. So they tend to make it too strong, and this also creates MORE carbon emissions. Instead, this solution test concrete quality in 40 minutes. Not bad, huh. The prototype has been tested with partners. They think they could save all the UK’s carbon emission. Strong pitch and thank god someone is thinking about the environment for a change…

Presscast – LONDON

Presscast is a new kind of advertising that is organic and scalable.

TechCrunch comment: Programmatic ads have ruined online content (don’t we know it)… Media doesn’t scale like tech. Content marketing plus programmatic. They call it “Natural language advertising”. This looks at articles online, and inserts your lines of text into the article. (I hate this already…). Finextra did this. They launched a week ago and have 500 publishers now. I’d love to know this list! Strangely they did not include whether or not the advert is flagged as such, which is worrying. They are raising a seed round.

Arthronica – LONDON

Arthronica is an AI monitoring and rehabilitation platform.

TechCrunch comment: Addressing a costly and chronic condition: Arthritis. Costs healthcare a lot of cash globally. Capturing data for treatment is expensive and has to happen face to face. Their AI architecture uses a smart phone camera to read the person’s muscle movements and then assess the level of treatment needed. I think this is a great idea and a natural use of ML in cameras / smartphones.

Semblr Technologies – LONDON

Semblr automates building construction using small, swarming robots.

TechCrunch comment: Robots! Using a big robot to build a house is inefficient. Use small ones! The first robot automates bricklaying. There is high demand for houses, but the workforce is not there. Previous bricklaying robots, they are WAY too big. A swarm of robots the size of a cat can build it faster. BaaS – Bricklaying as a service. LULZ. Cofounders are an ex-architect and ML expert. They are testing on real sites. Sounds convincing.

Packetai – PARIS

PacketAI uses AI to automate IT Operations.

TechCrunch comment: Resolving IT incidents using ML! Save lots of money! Crucial stuff but hard to make interesting in a pitch…

Nostos Genomics – BERLIN

Nostos Genomics uses CRISPR to unlock genomics-based medicine.

TechCrunch comment: Genetic diseases are more common than you think. But to get a treatment you need assessment and 70 percent of genetic tests fail. Their solution claims to be way more efficient at assessing genetic diagnoses.

Deltablock – PARIS

DeltaBlock adapts traditional capital liquidity services for Digital Assets.

TechCrunch comment: Sounds like a blockchain pitch which doesn’t want to mention the word blockchain… Surprise! Ok they mentioned it once. This is a market-maker for digital assets, like in traditional markets. Aiming at 100 billion Euro market. Starting in Switzerland, of course. They are raising in fiat money… Hard to assess this one.

Reallm – LONDON

Business intelligence for the supply-side of marketplaces.

TechCrunch comment: We understand the demand side of this world but the suppliers often get forgotten. So take Uber or something and they spot where user demand is being missed by lack of supply of drivers. This is a way for drivers or similar to work out where they can work more efficiently.

Panakeia Technologies – LONDON

Panakeia makes cancer diagnosis simpler, faster and cheaper by eliminating the need for multiple tests.

TechCrunch comment: Cancer diagnosis can take a month and is expensive. They do this by running ML over images of biopsies. Already have several test partners. Seems like a strong team.

Speak Ai – LONDON

The world’s most expressive and realistic artificial voices.

TechCrunch comment: This was the spookiest pitch of the day! The idea being that you could use this artificial voice inside video games. Saving enormous amounts of money. 5 paid pilots already. Voice in the video games industry is huge. Makes it as easy to edit voice as videos. “A photoshop for voice.” Impressive stuff.

Vine Health Digital – LONDON

Vine Health’s platform uses behavioral science and AI to increase the survival of cancer patients.

TechCrunch comment: If you make things hard or easier you have big consequences (fake flies in urinals etc). If you nudge a patient into better behavior they have better outcomes. They have trials with partners already. Co-founders are rather well qualified! Great advisory board. 95% of patients on-board. Excellent results from patients. This is a startup to watch.

CirPlus – BERLIN

CirPlus is the global marketplace for recycled materials.

TechCrunch comment: Make it EASY to buy recycled plastics rather than hard. Have had EU funding. Passionate founder.

Nanovery – LONDON

Nanovery is developing nanorobots to diagnose the world’s deadliest diseases.

TechCrunch comment: Detect cancer using a simple blood test? Have we heard this before? No – they are building a search function using nano-robots. Their nano-robots are cheaper, they say. Very hard to assess this, but it sounds good.

Seyo – LONDON

Seyo enables machines to cooperate autonomously in extreme environments without the internet.

TechCrunch comment: Machines don’t have a global clock and one microsecond out can throw a system. So Seyo creates a logical sequence which is not time-based. It means the machines can work off the grid. They can be used in heavy industries like mining, where there are many fatalities.

Rosecut Technologies – LONDON

Rosecut is a digital private bank that offers bespoke, regulated advice in real-time.

TechCrunch comment: Wealth management! Always of interest to VCs… Rosecut wants to help the middle market, just under private equity. Traditional private banks require a lot of money. Rosecut is aiming at these guys. Already have $4.3m worth of assets ready to on-board. Likely to be regulated by the FCA in the next few months. Founder Qiaojia was a former ace asset adviser.

SquareMind – PARIS

SquareMind allows robots to make skin cancer detection more accurate and accessible.

TechCrunch comment: 3D construction software for full body mapping, able to track the growth of moles on the body using off the shelf robots. Prototypes and patents.

Intropic – LONDON

Intropic provides data refineries for investment management firms.

TechCrunch comment: Asset managers are generally shit, lazy and inefficient. Hedge funds are already using Intropic. Because the world needs more efficient hedge funds…

Flowlity – PARIS

Flowlity’s mission is to bring Amazon supply chain efficiency to the rest of the world.

TechCrunch comment: Many industrial players lack the time to do this well, and don’t scale at the level of Amazon. This startup claims to address this. No more overstocks, shortages and lost sales. The team was in this space before.

Omini – PARIS

Omini brings lab testing closer to the patient.

TechCrunch comment: Faster blood testing. (Yes, another one). Biosensing devices for immediate blood tests. Their first product measures infections and inflammations. THANKFULLY they mentioned the huge disaster in this industry and made sure people knew they were different.

Sense Street – LONDON

Sense Street innovates capital market communications.

TechCrunch comment: Freeing the information that’s in chat rooms about capital markets with ML. They can pull sentiment out of the chat rooms and give clients better insight. So that’s nice.

QantEv – PARIS

QantEv optimizes provider networks for health insurers.

TechCrunch comment: Probably sounds great if you’re a health insurer… rather indecipherable to the rest of us.

Morta – LONDON

Morta digitizes and automatically enforces construction rules.

TechCrunch comment: Building documents are in PDF and paper. This is a very old-fashioned industry. Mistakes creep in. Codifying the designs and rules reduces mistakes. Building industry wins!

CogniScent – BERLIN

CogniScent provides AI-guided early detection of neurodegenerative diseases.

TechCrunch comment: The lack of a sense of smell is a key indicator of neurodegenerative diseases. So you take a smell test, fill out a test and the result claims to be a 90% accurate prediction of a neurodegenerative disease.

Neoplants – PARIS

Neoplants use synthetic biology to design plants for the future.

TechCrunch comment: Problem: You spend a lot of time indoors and indoor air pollution is much worse than outdoors, because of VOCs. Air purifiers are bullshit. And green plants have ZERO impact on air quality. So their indoor plant is biologically engineered to capture VCOs and process them. Patents galore. You could also use these to capture carbon outdoors. Where do I buy one?!

[endenogatai]

Meet the European startups that pitched at EF’s 11th Demo Day in London

Entrepreneur First (EF), the company builder and “talent first” investor, held its eleventh Demo Day in London this afternoon. The event included newly formed startups from EF’s London, Berlin and Paris cohorts, and represented a showcase of the investor’s now pan-European reach.

Once again, the pitches took place in front of a near-overcapacity crowd at King’s Place in London’s King Cross area, and this time around saw a 29 startups pitch their wares to investors, press and other actors in the European tech scene.

EF stands out from the many other demo days that the U.K. capital city hosts because of the way the investor backs individuals “pre-team, pre-idea” — meaning that the companies pitching only came into existence during the three programmes and perhaps may never have seen the light of day without the founders bashing heads at EF.

The latest demo days also comes shortly after EF announced it has raised a $115 million new fund led by a number of leading (mostly unnamed) institutional investors across the U.S., Europe and Asia, including new anchor LP Trusted Insight. A number of well-known European entrepreneurs also invested including Taavet Hinrikus (co-founder of TransferWise), Alex Chesterman (co-founder of Zoopla) and EF alumnus Rob Bishop (who co-founded Magic Pony Technology, which was bought by Twitter for a reported $150 million in 2016).

See also: EF raises $115M new fund, aiming to create another 300-plus startups in the next three years

This new fund — which EF said is one the largest pre-seed funds ever raised — will enable the talent investor to back more than 2,200 individuals who join its various programs over the next three years. EF currently operates in Bangalore, Berlin, Hong Kong, London, Singapore and Paris.

Meanwhile, the themes for EF’s eleventh London Demo Day continued to reflect the company builder’s focus on recruiting the best technical and domain expert talent — both recent graduates and also people already working at tech companies. They spanned practically every gamut of tech sector you could think of.

After enduring 29 rounds of ‘pitchlash’ (up from 24 last time), TechCrunch’s picks, chosen by Editor-at-Large Mike Butcher, who attended, are as follows:

FabricNano Fast Biotechnologies Blazar Alcemy Semblr Arthronica SpeakAi Vine Health Seyo Rosecut CogniScent Neoplants

Here’s the full list of presenting teams (in their own words) with some informal notes Mike made live at the event:

FabricNano – LONDON

FabricNano designs artificial cells that produce chemicals 100x faster.

TechCrunch comment: Fermentation of things like beer has been around for thousands of years. It’s now powering the global chemicals market. But we still rely on living cells to do the hard work. Improving the living cell by 1% would save the chemical plant millions of dollars a day. This startup makes an artificial living cell which is highly efficient. The cost has come down to do this. The founders have a history in mechanical engineering and DNA. They have chemical companies testing with them, and have filed some patents. They are raising £1.5m to accelerate this whole idea. Strong pitch!

Fast Biotechnologies – BERLIN

Fast Biotechnologies revolutionizes healthcare by enabling accurate diagnosis of life-threatening infections in minutes instead of days.

TechCrunch comment: Scepsis is killing people almost as much as cancer, globally. But detecting it is slow, and people die waiting for results. This startup uses a bacterium to detect it faster, and it’s the direct result of the founder’s PhD work. It’s already being tested in the lab. The founder didn’t say how much they are raising…

Leakmited – PARIS

Leakmited detects water leaks from space.

TechCrunch comment: Sounds cool huh?! Only 6% of water is good for human consumption and we waste a lot of it in leaks. 50 billion euros worth. Fixing leaks is easy, but finding them is tough and the tech hasn’t changed in years. The idea is that leaks change the properties of the ground, which can then be detected from space using pattern recognition, up to an accuracy of 20 meters which is a 1000% improvement. They will pilot this tech in France. Strong team, strong pitch. I’m wondering if this would be relatively easily replicable by a satellite company?

Candu – LONDON

Candu is a learning platform within your app, empowering you to upskill and retain your customers.

TechCrunch comment: Ex-Stanford founder pitches a learning platform that upskills users as they use the product. On the job training for this century. This decreases churn and improves the results. Well-trained customers are more likely to use and renew a Saas product. One of the co-founders helped build Coursera, so they have history in this space.

Blazar – PARIS

Blazar uses machine learning to predict cancer response to immunotherapy.

TechCrunch comment: Treating blood cancer better with ML-based prediction. They have a team which has built previous ML products and the co-founder who presented has been a cancer researcher for the last 14 years. This is sort of weaponizing the immune system against cancer. No mention of the money they want to raise.

Alcemy – BERLIN

Alcemy’s quality prediction AI enables cement and concrete producers to cut costs and carbon emissions.

TechCrunch comment: We make a lot of concrete on this planet. It can be a complex thing. But it’s often made stronger than it needs to be. Until recently it took a month to test the strength of the concrete. So they tend to make it too strong, and this also creates MORE carbon emissions. Instead, this solution test concrete quality in 40 minutes. Not bad, huh. The prototype has been tested with partners. They think they could save all the UK’s carbon emission. Strong pitch and thank god someone is thinking about the environment for a change…

Presscast – LONDON

Presscast is a new kind of advertising that is organic and scalable.

TechCrunch comment: Programmatic ads have ruined online content (don’t we know it)… Media doesn’t scale like tech. Content marketing plus programmatic. They call it “Natural language advertising”. This looks at articles online, and inserts your lines of text into the article. (I hate this already…). Finextra did this. They launched a week ago and have 500 publishers now. I’d love to know this list! Strangely they did not include whether or not the advert is flagged as such, which is worrying. They are raising a seed round.

Arthronica – LONDON

Arthronica is an AI monitoring and rehabilitation platform.

TechCrunch comment: Addressing a costly and chronic condition: Arthritis. Costs healthcare a lot of cash globally. Capturing data for treatment is expensive and has to happen face to face. Their AI architecture uses a smart phone camera to read the person’s muscle movements and then assess the level of treatment needed. I think this is a great idea and a natural use of ML in cameras / smartphones.

Semblr Technologies – LONDON

Semblr automates building construction using small, swarming robots.

TechCrunch comment: Robots! Using a big robot to build a house is inefficient. Use small ones! The first robot automates bricklaying. There is high demand for houses, but the workforce is not there. Previous bricklaying robots, they are WAY too big. A swarm of robots the size of a cat can build it faster. BaaS – Bricklaying as a service. LULZ. Cofounders are an ex-architect and ML expert. They are testing on real sites. Sounds convincing.

Packetai – PARIS

PacketAI uses AI to automate IT Operations.

TechCrunch comment: Resolving IT incidents using ML! Save lots of money! Crucial stuff but hard to make interesting in a pitch…

Nostos Genomics – BERLIN

Nostos Genomics uses CRISPR to unlock genomics-based medicine.

TechCrunch comment: Genetic diseases are more common than you think. But to get a treatment you need assessment and 70 percent of genetic tests fail. Their solution claims to be way more efficient at assessing genetic diagnoses.

Deltablock – PARIS

DeltaBlock adapts traditional capital liquidity services for Digital Assets.

TechCrunch comment: Sounds like a blockchain pitch which doesn’t want to mention the word blockchain… Surprise! Ok they mentioned it once. This is a market-maker for digital assets, like in traditional markets. Aiming at 100 billion Euro market. Starting in Switzerland, of course. They are raising in fiat money… Hard to assess this one.

Reallm – LONDON

Business intelligence for the supply-side of marketplaces.

TechCrunch comment: We understand the demand side of this world but the suppliers often get forgotten. So take Uber or something and they spot where user demand is being missed by lack of supply of drivers. This is a way for drivers or similar to work out where they can work more efficiently.

Panakeia Technologies – LONDON

Panakeia makes cancer diagnosis simpler, faster and cheaper by eliminating the need for multiple tests.

TechCrunch comment: Cancer diagnosis can take a month and is expensive. They do this by running ML over images of biopsies. Already have several test partners. Seems like a strong team.

Speak Ai – LONDON

The world’s most expressive and realistic artificial voices.

TechCrunch comment: This was the spookiest pitch of the day! The idea being that you could use this artificial voice inside video games. Saving enormous amounts of money. 5 paid pilots already. Voice in the video games industry is huge. Makes it as easy to edit voice as videos. “A photoshop for voice.” Impressive stuff.

Vine Health Digital – LONDON

Vine Health’s platform uses behavioral science and AI to increase the survival of cancer patients.

TechCrunch comment: If you make things hard or easier you have big consequences (fake flies in urinals etc). If you nudge a patient into better behavior they have better outcomes. They have trials with partners already. Co-founders are rather well qualified! Great advisory board. 95% of patients on-board. Excellent results from patients. This is a startup to watch.

CirPlus – BERLIN

CirPlus is the global marketplace for recycled materials.

TechCrunch comment: Make it EASY to buy recycled plastics rather than hard. Have had EU funding. Passionate founder.

Nanovery – LONDON

Nanovery is developing nanorobots to diagnose the world’s deadliest diseases.

TechCrunch comment: Detect cancer using a simple blood test? Have we heard this before? No – they are building a search function using nano-robots. Their nano-robots are cheaper, they say. Very hard to assess this, but it sounds good.

Seyo – LONDON

Seyo enables machines to cooperate autonomously in extreme environments without the internet.

TechCrunch comment: Machines don’t have a global clock and one microsecond out can throw a system. So Seyo creates a logical sequence which is not time-based. It means the machines can work off the grid. They can be used in heavy industries like mining, where there are many fatalities.

Rosecut Technologies – LONDON

Rosecut is a digital private bank that offers bespoke, regulated advice in real-time.

TechCrunch comment: Wealth management! Always of interest to VCs… Rosecut wants to help the middle market, just under private equity. Traditional private banks require a lot of money. Rosecut is aiming at these guys. Already have $4.3m worth of assets ready to on-board. Likely to be regulated by the FCA in the next few months. Founder Qiaojia was a former ace asset adviser.

SquareMind – PARIS

SquareMind allows robots to make skin cancer detection more accurate and accessible.

TechCrunch comment: 3D construction software for full body mapping, able to track the growth of moles on the body using off the shelf robots. Prototypes and patents.

Intropic – LONDON

Intropic provides data refineries for investment management firms.

TechCrunch comment: Asset managers are generally shit, lazy and inefficient. Hedge funds are already using Intropic. Because the world needs more efficient hedge funds…

Flowlity – PARIS

Flowlity’s mission is to bring Amazon supply chain efficiency to the rest of the world.

TechCrunch comment: Many industrial players lack the time to do this well, and don’t scale at the level of Amazon. This startup claims to address this. No more overstocks, shortages and lost sales. The team was in this space before.

Omini – PARIS

Omini brings lab testing closer to the patient.

TechCrunch comment: Faster blood testing. (Yes, another one). Biosensing devices for immediate blood tests. Their first product measures infections and inflammations. THANKFULLY they mentioned the huge disaster in this industry and made sure people knew they were different.

Sense Street – LONDON

Sense Street innovates capital market communications.

TechCrunch comment: Freeing the information that’s in chat rooms about capital markets with ML. They can pull sentiment out of the chat rooms and give clients better insight. So that’s nice.

QantEv – PARIS

QantEv optimizes provider networks for health insurers.

TechCrunch comment: Probably sounds great if you’re a health insurer… rather indecipherable to the rest of us.

Morta – LONDON

Morta digitizes and automatically enforces construction rules.

TechCrunch comment: Building documents are in PDF and paper. This is a very old-fashioned industry. Mistakes creep in. Codifying the designs and rules reduces mistakes. Building industry wins!

CogniScent – BERLIN

CogniScent provides AI-guided early detection of neurodegenerative diseases.

TechCrunch comment: The lack of a sense of smell is a key indicator of neurodegenerative diseases. So you take a smell test, fill out a test and the result claims to be a 90% accurate prediction of a neurodegenerative disease.

Neoplants – PARIS

Neoplants use synthetic biology to design plants for the future.

TechCrunch comment: Problem: You spend a lot of time indoors and indoor air pollution is much worse than outdoors, because of VOCs. Air purifiers are bullshit. And green plants have ZERO impact on air quality. So their indoor plant is biologically engineered to capture VCOs and process them. Patents galore. You could also use these to capture carbon outdoors. Where do I buy one?!

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[toomanysinks]

Meet the European startups that pitched at EF’s 11th Demo Day in London

Entrepreneur First (EF), the company builder and “talent first” investor, held its eleventh Demo Day in London this afternoon. The event included newly formed startups from EF’s London, Berlin and Paris cohorts, and represented a showcase of the investor’s now pan-European reach.

Once again, the pitches took place in front of a near-overcapacity crowd at King’s Place in London’s King Cross area, and this time saw 29 startups pitch their wares to investors, press and other actors in the European tech scene.

EF stands out from the many other demo days that the U.K. capital city hosts because of the way the investor backs individuals “pre-team, pre-idea” — meaning that the companies pitching only came into existence during the three programmes and perhaps may never have seen the light of day without the founders bashing heads at EF.

The latest demo days also comes shortly after EF announced it has raised a $115 million new fund led by a number of leading (mostly unnamed) institutional investors across the U.S., Europe and Asia, including new anchor LP Trusted Insight. A number of well-known European entrepreneurs also invested, including Taavet Hinrikus (co-founder of TransferWise), Alex Chesterman (co-founder of Zoopla) and EF alumnus Rob Bishop (who co-founded Magic Pony Technology, which was bought by Twitter for a reported $150 million in 2016).

See also: EF raises $115M new fund, aiming to create another 300-plus startups in the next three years

This new fund — which EF said is one of the largest pre-seed funds ever raised — will enable the talent investor to back more than 2,200 individuals who join its various programs over the next three years. EF currently operates in Bangalore, Berlin, Hong Kong, London, Singapore and Paris.

Meanwhile, the themes for EF’s eleventh London Demo Day continued to reflect the company builder’s focus on recruiting the best technical and domain expert talent — both recent graduates and also people already working at tech companies. They spanned practically every gamut of the tech sector you could think of.

After enduring 29 rounds of “pitchlash” (up from 24 last time), TechCrunch’s picks, chosen by Editor-at-Large Mike Butcher, who attended, are as follows:

FabricNano Fast Biotechnologies Blazar Alcemy Semblr Arthronica SpeakAi Vine Health Seyo Rosecut CogniScent Neoplants

Here’s the full list of presenting teams (in their own words) with some informal notes Mike made live at the event:

FabricNano – LONDON

FabricNano designs artificial cells that produce chemicals 100x faster.

TechCrunch comment: Fermentation of things like beer has been around for thousands of years. It’s now powering the global chemicals market. But we still rely on living cells to do the hard work. Improving the living cell by 1% would save the chemical plant millions of dollars a day. This startup makes an artificial living cell which is highly efficient. The cost has come down to do this. The founders have a history in mechanical engineering and DNA. They have chemical companies testing with them, and have filed some patents. They are raising £1.5m to accelerate this whole idea. Strong pitch!

Fast Biotechnologies – BERLIN

Fast Biotechnologies revolutionizes healthcare by enabling accurate diagnosis of life-threatening infections in minutes instead of days.

TechCrunch comment: Scepsis is killing people almost as much as cancer, globally. But detecting it is slow, and people die waiting for results. This startup uses a bacterium to detect it faster, and it’s the direct result of the founder’s PhD work. It’s already being tested in the lab. The founder didn’t say how much they are raising…

Leakmited – PARIS

Leakmited detects water leaks from space.

TechCrunch comment: Sounds cool huh?! Only 6% of water is good for human consumption and we waste a lot of it in leaks. 50 billion euros worth. Fixing leaks is easy, but finding them is tough and the tech hasn’t changed in years. The idea is that leaks change the properties of the ground, which can then be detected from space using pattern recognition, up to an accuracy of 20 meters which is a 1000% improvement. They will pilot this tech in France. Strong team, strong pitch. I’m wondering if this would be relatively easily replicable by a satellite company?

Candu – LONDON

Candu is a learning platform within your app, empowering you to upskill and retain your customers.

TechCrunch comment: Ex-Stanford founder pitches a learning platform that upskills users as they use the product. On the job training for this century. This decreases churn and improves the results. Well-trained customers are more likely to use and renew a Saas product. One of the co-founders helped build Coursera, so they have history in this space.

Blazar – PARIS

Blazar uses machine learning to predict cancer response to immunotherapy.

TechCrunch comment: Treating blood cancer better with ML-based prediction. They have a team which has built previous ML products and the co-founder who presented has been a cancer researcher for the last 14 years. This is sort of weaponizing the immune system against cancer. No mention of the money they want to raise.

Alcemy – BERLIN

Alcemy’s quality prediction AI enables cement and concrete producers to cut costs and carbon emissions.

TechCrunch comment: We make a lot of concrete on this planet. It can be a complex thing. But it’s often made stronger than it needs to be. Until recently it took a month to test the strength of the concrete. So they tend to make it too strong, and this also creates MORE carbon emissions. Instead, this solution test concrete quality in 40 minutes. Not bad, huh. The prototype has been tested with partners. They think they could save all the UK’s carbon emission. Strong pitch and thank god someone is thinking about the environment for a change…

Presscast – LONDON

Presscast is a new kind of advertising that is organic and scalable.

TechCrunch comment: Programmatic ads have ruined online content (don’t we know it)… Media doesn’t scale like tech. Content marketing plus programmatic. They call it “Natural language advertising”. This looks at articles online, and inserts your lines of text into the article. (I hate this already…). Finextra did this. They launched a week ago and have 500 publishers now. I’d love to know this list! Strangely they did not include whether or not the advert is flagged as such, which is worrying. They are raising a seed round.

Arthronica – LONDON

Arthronica is an AI monitoring and rehabilitation platform.

TechCrunch comment: Addressing a costly and chronic condition: Arthritis. Costs healthcare a lot of cash globally. Capturing data for treatment is expensive and has to happen face to face. Their AI architecture uses a smart phone camera to read the person’s muscle movements and then assess the level of treatment needed. I think this is a great idea and a natural use of ML in cameras / smartphones.

Semblr Technologies – LONDON

Semblr automates building construction using small, swarming robots.

TechCrunch comment: Robots! Using a big robot to build a house is inefficient. Use small ones! The first robot automates bricklaying. There is high demand for houses, but the workforce is not there. Previous bricklaying robots, they are WAY too big. A swarm of robots the size of a cat can build it faster. BaaS – Bricklaying as a service. LULZ. Cofounders are an ex-architect and ML expert. They are testing on real sites. Sounds convincing.

Packetai – PARIS

PacketAI uses AI to automate IT Operations.

TechCrunch comment: Resolving IT incidents using ML! Save lots of money! Crucial stuff but hard to make interesting in a pitch…

Nostos Genomics – BERLIN

Nostos Genomics uses CRISPR to unlock genomics-based medicine.

TechCrunch comment: Genetic diseases are more common than you think. But to get a treatment you need assessment and 70 percent of genetic tests fail. Their solution claims to be way more efficient at assessing genetic diagnoses.

Deltablock – PARIS

DeltaBlock adapts traditional capital liquidity services for Digital Assets.

TechCrunch comment: Sounds like a blockchain pitch which doesn’t want to mention the word blockchain… Surprise! Ok they mentioned it once. This is a market-maker for digital assets, like in traditional markets. Aiming at 100 billion Euro market. Starting in Switzerland, of course. They are raising in fiat money… Hard to assess this one.

Reallm – LONDON

Business intelligence for the supply-side of marketplaces.

TechCrunch comment: We understand the demand side of this world but the suppliers often get forgotten. So take Uber or something and they spot where user demand is being missed by lack of supply of drivers. This is a way for drivers or similar to work out where they can work more efficiently.

Panakeia Technologies – LONDON

Panakeia makes cancer diagnosis simpler, faster and cheaper by eliminating the need for multiple tests.

TechCrunch comment: Cancer diagnosis can take a month and is expensive. They do this by running ML over images of biopsies. Already have several test partners. Seems like a strong team.

Speak Ai – LONDON

The world’s most expressive and realistic artificial voices.

TechCrunch comment: This was the spookiest pitch of the day! The idea being that you could use this artificial voice inside video games. Saving enormous amounts of money. 5 paid pilots already. Voice in the video games industry is huge. Makes it as easy to edit voice as videos. “A photoshop for voice.” Impressive stuff.

Vine Health Digital – LONDON

Vine Health’s platform uses behavioral science and AI to increase the survival of cancer patients.

TechCrunch comment: If you make things hard or easier you have big consequences (fake flies in urinals etc). If you nudge a patient into better behavior they have better outcomes. They have trials with partners already. Co-founders are rather well qualified! Great advisory board. 95% of patients on-board. Excellent results from patients. This is a startup to watch.

CirPlus – BERLIN

CirPlus is the global marketplace for recycled materials.

TechCrunch comment: Make it EASY to buy recycled plastics rather than hard. Have had EU funding. Passionate founder.

Nanovery – LONDON

Nanovery is developing nanorobots to diagnose the world’s deadliest diseases.

TechCrunch comment: Detect cancer using a simple blood test? Have we heard this before? No – they are building a search function using nano-robots. Their nano-robots are cheaper, they say. Very hard to assess this, but it sounds good.

Seyo – LONDON

Seyo enables machines to cooperate autonomously in extreme environments without the internet.

TechCrunch comment: Machines don’t have a global clock and one microsecond out can throw a system. So Seyo creates a logical sequence which is not time-based. It means the machines can work off the grid. They can be used in heavy industries like mining, where there are many fatalities.

Rosecut Technologies – LONDON

Rosecut is a digital private bank that offers bespoke, regulated advice in real-time.

TechCrunch comment: Wealth management! Always of interest to VCs… Rosecut wants to help the middle market, just under private equity. Traditional private banks require a lot of money. Rosecut is aiming at these guys. Already have $4.3m worth of assets ready to on-board. Likely to be regulated by the FCA in the next few months. Founder Qiaojia was a former ace asset adviser.

SquareMind – PARIS

SquareMind allows robots to make skin cancer detection more accurate and accessible.

TechCrunch comment: 3D construction software for full body mapping, able to track the growth of moles on the body using off the shelf robots. Prototypes and patents.

Intropic – LONDON

Intropic provides data refineries for investment management firms.

TechCrunch comment: Asset managers are generally shit, lazy and inefficient. Hedge funds are already using Intropic. Because the world needs more efficient hedge funds…

Flowlity – PARIS

Flowlity’s mission is to bring Amazon supply chain efficiency to the rest of the world.

TechCrunch comment: Many industrial players lack the time to do this well, and don’t scale at the level of Amazon. This startup claims to address this. No more overstocks, shortages and lost sales. The team was in this space before.

Omini – PARIS

Omini brings lab testing closer to the patient.

TechCrunch comment: Faster blood testing. (Yes, another one). Biosensing devices for immediate blood tests. Their first product measures infections and inflammations. THANKFULLY they mentioned the huge disaster in this industry and made sure people knew they were different.

Sense Street – LONDON

Sense Street innovates capital market communications.

TechCrunch comment: Freeing the information that’s in chat rooms about capital markets with ML. They can pull sentiment out of the chat rooms and give clients better insight. So that’s nice.

QantEv – PARIS

QantEv optimizes provider networks for health insurers.

TechCrunch comment: Probably sounds great if you’re a health insurer… rather indecipherable to the rest of us.

Morta – LONDON

Morta digitizes and automatically enforces construction rules.

TechCrunch comment: Building documents are in PDF and paper. This is a very old-fashioned industry. Mistakes creep in. Codifying the designs and rules reduces mistakes. Building industry wins!

CogniScent – BERLIN

CogniScent provides AI-guided early detection of neurodegenerative diseases.

TechCrunch comment: The lack of a sense of smell is a key indicator of neurodegenerative diseases. So you take a smell test, fill out a test and the result claims to be a 90% accurate prediction of a neurodegenerative disease.

Neoplants – PARIS

Neoplants use synthetic biology to design plants for the future.

TechCrunch comment: Problem: You spend a lot of time indoors and indoor air pollution is much worse than outdoors, because of VOCs. Air purifiers are bullshit. And green plants have ZERO impact on air quality. So their indoor plant is biologically engineered to capture VCOs and process them. Patents galore. You could also use these to capture carbon outdoors. Where do I buy one?!

source https://techcrunch.com/2019/03/27/ef11/

[fmservers]

Meet the European startups that pitched at EF’s 11th Demo Day in London

Entrepreneur First (EF), the company builder and “talent first” investor, held its eleventh Demo Day in London this afternoon. The event included newly formed startups from EF’s London, Berlin and Paris cohorts, and represented a showcase of the investor’s now pan-European reach.

Once again, the pitches took place in front of a near-overcapacity crowd at King’s Place in London’s King Cross area, and this time around saw a 29 startups pitch their wares to investors, press and other actors in the European tech scene.

EF stands out from the many other demo days that the U.K. capital city hosts because of the way the investor backs individuals “pre-team, pre-idea” — meaning that the companies pitching only came into existence during the three programmes and perhaps may never have seen the light of day without the founders bashing heads at EF.

The latest demo days also comes shortly after EF announced it has raised a $115 million new fund led by a number of leading (mostly unnamed) institutional investors across the U.S., Europe and Asia, including new anchor LP Trusted Insight. A number of well-known European entrepreneurs also invested including Taavet Hinrikus (co-founder of TransferWise), Alex Chesterman (co-founder of Zoopla) and EF alumnus Rob Bishop (who co-founded Magic Pony Technology, which was bought by Twitter for a reported $150 million in 2016).

See also: EF raises $115M new fund, aiming to create another 300-plus startups in the next three years

This new fund — which EF said is one the largest pre-seed funds ever raised — will enable the talent investor to back more than 2,200 individuals who join its various programs over the next three years. EF currently operates in Bangalore, Berlin, Hong Kong, London, Singapore and Paris.

Meanwhile, the themes for EF’s eleventh London Demo Day continued to reflect the company builder’s focus on recruiting the best technical and domain expert talent — both recent graduates and also people already working at tech companies. They spanned practically every gamut of tech sector you could think of.

After enduring 29 rounds of ‘pitchlash’ (up from 24 last time), TechCrunch’s picks, chosen by Editor-at-Large Mike Butcher, who attended, are as follows:

FabricNano Fast Biotechnologies Blazar Alcemy Semblr Arthronica SpeakAi Vine Health Seyo Rosecut CogniScent Neoplants

Here’s the full list of presenting teams (in their own words) with some informal notes Mike made live at the event:

FabricNano – LONDON

FabricNano designs artificial cells that produce chemicals 100x faster.

TechCrunch comment: Fermentation of things like beer has been around for thousands of years. It’s now powering the global chemicals market. But we still rely on living cells to do the hard work. Improving the living cell by 1% would save the chemical plant millions of dollars a day. This startup makes an artificial living cell which is highly efficient. The cost has come down to do this. The founders have a history in mechanical engineering and DNA. They have chemical companies testing with them, and have filed some patents. They are raising £1.5m to accelerate this whole idea. Strong pitch!

Fast Biotechnologies – BERLIN

Fast Biotechnologies revolutionizes healthcare by enabling accurate diagnosis of life-threatening infections in minutes instead of days.

TechCrunch comment: Scepsis is killing people almost as much as cancer, globally. But detecting it is slow, and people die waiting for results. This startup uses a bacterium to detect it faster, and it’s the direct result of the founder’s PhD work. It’s already being tested in the lab. The founder didn’t say how much they are raising…

Leakmited – PARIS

Leakmited detects water leaks from space.

TechCrunch comment: Sounds cool huh?! Only 6% of water is good for human consumption and we waste a lot of it in leaks. 50 billion euros worth. Fixing leaks is easy, but finding them is tough and the tech hasn’t changed in years. The idea is that leaks change the properties of the ground, which can then be detected from space using pattern recognition, up to an accuracy of 20 meters which is a 1000% improvement. They will pilot this tech in France. Strong team, strong pitch. I’m wondering if this would be relatively easily replicable by a satellite company?

Candu – LONDON

Candu is a learning platform within your app, empowering you to upskill and retain your customers.

TechCrunch comment: Ex-Stanford founder pitches a learning platform that upskills users as they use the product. On the job training for this century. This decreases churn and improves the results. Well-trained customers are more likely to use and renew a Saas product. One of the co-founders helped build Coursera, so they have history in this space.

Blazar – PARIS

Blazar uses machine learning to predict cancer response to immunotherapy.

TechCrunch comment: Treating blood cancer better with ML-based prediction. They have a team which has built previous ML products and the co-founder who presented has been a cancer researcher for the last 14 years. This is sort of weaponizing the immune system against cancer. No mention of the money they want to raise.

Alcemy – BERLIN

Alcemy’s quality prediction AI enables cement and concrete producers to cut costs and carbon emissions.

TechCrunch comment: We make a lot of concrete on this planet. It can be a complex thing. But it’s often made stronger than it needs to be. Until recently it took a month to test the strength of the concrete. So they tend to make it too strong, and this also creates MORE carbon emissions. Instead, this solution test concrete quality in 40 minutes. Not bad, huh. The prototype has been tested with partners. They think they could save all the UK’s carbon emission. Strong pitch and thank god someone is thinking about the environment for a change…

Presscast – LONDON

Presscast is a new kind of advertising that is organic and scalable.

TechCrunch comment: Programmatic ads have ruined online content (don’t we know it)… Media doesn’t scale like tech. Content marketing plus programmatic. They call it “Natural language advertising”. This looks at articles online, and inserts your lines of text into the article. (I hate this already…). Finextra did this. They launched a week ago and have 500 publishers now. I’d love to know this list! Strangely they did not include whether or not the advert is flagged as such, which is worrying. They are raising a seed round.

Arthronica – LONDON

Arthronica is an AI monitoring and rehabilitation platform.

TechCrunch comment: Addressing a costly and chronic condition: Arthritis. Costs healthcare a lot of cash globally. Capturing data for treatment is expensive and has to happen face to face. Their AI architecture uses a smart phone camera to read the person’s muscle movements and then assess the level of treatment needed. I think this is a great idea and a natural use of ML in cameras / smartphones.

Semblr Technologies – LONDON

Semblr automates building construction using small, swarming robots.

TechCrunch comment: Robots! Using a big robot to build a house is inefficient. Use small ones! The first robot automates bricklaying. There is high demand for houses, but the workforce is not there. Previous bricklaying robots, they are WAY too big. A swarm of robots the size of a cat can build it faster. BaaS – Bricklaying as a service. LULZ. Cofounders are an ex-architect and ML expert. They are testing on real sites. Sounds convincing.

Packetai – PARIS

PacketAI uses AI to automate IT Operations.

TechCrunch comment: Resolving IT incidents using ML! Save lots of money! Crucial stuff but hard to make interesting in a pitch…

Nostos Genomics – BERLIN

Nostos Genomics uses CRISPR to unlock genomics-based medicine.

TechCrunch comment: Genetic diseases are more common than you think. But to get a treatment you need assessment and 70 percent of genetic tests fail. Their solution claims to be way more efficient at assessing genetic diagnoses.

Deltablock – PARIS

DeltaBlock adapts traditional capital liquidity services for Digital Assets.

TechCrunch comment: Sounds like a blockchain pitch which doesn’t want to mention the word blockchain… Surprise! Ok they mentioned it once. This is a market-maker for digital assets, like in traditional markets. Aiming at 100 billion Euro market. Starting in Switzerland, of course. They are raising in fiat money… Hard to assess this one.

Reallm – LONDON

Business intelligence for the supply-side of marketplaces.

TechCrunch comment: We understand the demand side of this world but the suppliers often get forgotten. So take Uber or something and they spot where user demand is being missed by lack of supply of drivers. This is a way for drivers or similar to work out where they can work more efficiently.

Panakeia Technologies – LONDON

Panakeia makes cancer diagnosis simpler, faster and cheaper by eliminating the need for multiple tests.

TechCrunch comment: Cancer diagnosis can take a month and is expensive. They do this by running ML over images of biopsies. Already have several test partners. Seems like a strong team.

Speak Ai – LONDON

The world’s most expressive and realistic artificial voices.

TechCrunch comment: This was the spookiest pitch of the day! The idea being that you could use this artificial voice inside video games. Saving enormous amounts of money. 5 paid pilots already. Voice in the video games industry is huge. Makes it as easy to edit voice as videos. “A photoshop for voice.” Impressive stuff.

Vine Health Digital – LONDON

Vine Health’s platform uses behavioral science and AI to increase the survival of cancer patients.

TechCrunch comment: If you make things hard or easier you have big consequences (fake flies in urinals etc). If you nudge a patient into better behavior they have better outcomes. They have trials with partners already. Co-founders are rather well qualified! Great advisory board. 95% of patients on-board. Excellent results from patients. This is a startup to watch.

CirPlus – BERLIN

CirPlus is the global marketplace for recycled materials.

TechCrunch comment: Make it EASY to buy recycled plastics rather than hard. Have had EU funding. Passionate founder.

Nanovery – LONDON

Nanovery is developing nanorobots to diagnose the world’s deadliest diseases.

TechCrunch comment: Detect cancer using a simple blood test? Have we heard this before? No – they are building a search function using nano-robots. Their nano-robots are cheaper, they say. Very hard to assess this, but it sounds good.

Seyo – LONDON

Seyo enables machines to cooperate autonomously in extreme environments without the internet.

TechCrunch comment: Machines don’t have a global clock and one microsecond out can throw a system. So Seyo creates a logical sequence which is not time-based. It means the machines can work off the grid. They can be used in heavy industries like mining, where there are many fatalities.

Rosecut Technologies – LONDON

Rosecut is a digital private bank that offers bespoke, regulated advice in real-time.

TechCrunch comment: Wealth management! Always of interest to VCs… Rosecut wants to help the middle market, just under private equity. Traditional private banks require a lot of money. Rosecut is aiming at these guys. Already have $4.3m worth of assets ready to on-board. Likely to be regulated by the FCA in the next few months. Founder Qiaojia was a former ace asset adviser.

SquareMind – PARIS

SquareMind allows robots to make skin cancer detection more accurate and accessible.

TechCrunch comment: 3D construction software for full body mapping, able to track the growth of moles on the body using off the shelf robots. Prototypes and patents.

Intropic – LONDON

Intropic provides data refineries for investment management firms.

TechCrunch comment: Asset managers are generally shit, lazy and inefficient. Hedge funds are already using Intropic. Because the world needs more efficient hedge funds…

Flowlity – PARIS

Flowlity’s mission is to bring Amazon supply chain efficiency to the rest of the world.

TechCrunch comment: Many industrial players lack the time to do this well, and don’t scale at the level of Amazon. This startup claims to address this. No more overstocks, shortages and lost sales. The team was in this space before.

Omini – PARIS

Omini brings lab testing closer to the patient.

TechCrunch comment: Faster blood testing. (Yes, another one). Biosensing devices for immediate blood tests. Their first product measures infections and inflammations. THANKFULLY they mentioned the huge disaster in this industry and made sure people knew they were different.

Sense Street – LONDON

Sense Street innovates capital market communications.

TechCrunch comment: Freeing the information that’s in chat rooms about capital markets with ML. They can pull sentiment out of the chat rooms and give clients better insight. So that’s nice.

QantEv – PARIS

QantEv optimizes provider networks for health insurers.

TechCrunch comment: Probably sounds great if you’re a health insurer… rather indecipherable to the rest of us.

Morta – LONDON

Morta digitizes and automatically enforces construction rules.

TechCrunch comment: Building documents are in PDF and paper. This is a very old-fashioned industry. Mistakes creep in. Codifying the designs and rules reduces mistakes. Building industry wins!

CogniScent – BERLIN

CogniScent provides AI-guided early detection of neurodegenerative diseases.

TechCrunch comment: The lack of a sense of smell is a key indicator of neurodegenerative diseases. So you take a smell test, fill out a test and the result claims to be a 90% accurate prediction of a neurodegenerative disease.

Neoplants – PARIS

Neoplants use synthetic biology to design plants for the future.

TechCrunch comment: Problem: You spend a lot of time indoors and indoor air pollution is much worse than outdoors, because of VOCs. Air purifiers are bullshit. And green plants have ZERO impact on air quality. So their indoor plant is biologically engineered to capture VCOs and process them. Patents galore. You could also use these to capture carbon outdoors. Where do I buy one?!

Via Mike Butcher https://techcrunch.com

[myworld20879367]

Let’s talk money in koloqaua bekor I can speakay both 😌🤙🏾

[aiwikiweb]

5 Tips for Maximizing Your Language Practice with Speak AI

Speak AI provides an immersive and effective way to practice speaking a new language. Here are some tips to help you make the most of Speak AI and achieve your language goals faster.

Tip 1: Practice Daily

Explanation: Set aside a few minutes each day to practice with Speak Tutor. Consistent practice is key to improving your fluency, even if it’s just 10 minutes at a time.

Tip 2: Engage in Real Conversations

Explanation: Talk about topics that interest you. Speak Tutor allows you to practice any subject, making your learning experience enjoyable and relevant to your interests.

Tip 3: Use Real-Time Feedback to Improve

Explanation: Pay close attention to the real-time corrections provided by Speak Tutor. This feedback is invaluable for improving pronunciation and grammar on the spot.

Tip 4: Set Language Goals

Explanation: Set specific goals for your language learning journey, such as practicing a certain number of times per week or focusing on improving specific skills like pronunciation.

Tip 5: Take Advantage of Multi-Language Support

Explanation: If you’re interested in learning more than one language, use Speak AI’s multi-language support to switch between languages and practice different skills.

Achieve your language learning goals faster with these Speak AI tips. Start practicing today and see the difference real-time feedback can make in your fluency!

[aiwikiweb]

How Speak AI Helps Busy Learners Achieve Language Fluency

For busy learners, finding time to practice a new language can be a challenge. Speak AI offers a practical solution by providing an AI-powered language tutor that is always available, allowing users to practice whenever and wherever they want.

Problem Statement: Many language learners struggle to find the time and opportunity to practice speaking a new language. Traditional language classes may not fit into busy schedules, and practicing without a partner can be difficult.

Application: Speak AI's conversational AI tutor allows learners to practice speaking whenever they have a few minutes—whether they're at home, commuting, or taking a break at work. The tutor provides real-time feedback on pronunciation and grammar, ensuring that learners make consistent progress. The personalized curriculum also adapts to each user's learning pace and interests, keeping them engaged and motivated.

Outcome: By using Speak AI, busy learners can achieve language fluency without the need for scheduled classes or a physical tutor. The app's convenience and accessibility allow users to practice speaking regularly, which is key to building confidence and fluency.

Industry Examples:

Professionals: Use Speak AI to practice conversational English during commute times, improving workplace communication.

Students: Practice a foreign language outside of school to supplement learning and gain confidence in speaking.

Travelers: Prepare for trips by practicing basic phrases and conversations in the local language, making travel experiences more enjoyable.

Additional Scenarios: Speak AI can also help individuals who are preparing for language proficiency tests, providing real-time feedback on speaking exercises to ensure they are ready for their exams.

Enhance your language skills on your schedule with Speak AI. Start practicing today and achieve fluency faster, no matter how busy you are!

[aiwikiweb]

Master a New Language with Speak AI - Your Personal AI Tutor

Speak AI is an advanced AI-powered language learning app that helps users improve their language skills by speaking out loud, receiving instant feedback, and building fluency. With Speak Tutor, the app offers a personalized, interactive learning experience designed to help learners speak with confidence, anytime and anywhere.

Core Functionality: Speak AI provides an AI language tutor that allows users to practice speaking, receive real-time feedback, and improve fluency through interactive exercises and personalized lessons.

Key Features:

AI Language Tutor: Personalized language tutor that helps you practice 24/7, keeping you motivated and accountable.

Real-Time Feedback: Get instant corrections and suggestions to improve pronunciation and fluency.

Conversational Practice: Talk about any topic, anywhere, with Speak Tutor as your conversational partner.

Personalized Curriculum: A unique curriculum tailored to your goals, interests, and level, keeping you engaged.

Multi-Language Support: Learn English, Spanish, Korean, and more—Speak AI supports multiple languages to suit your learning needs.

Benefits:

Effective Learning: Practice speaking out loud with real-time feedback, ensuring you improve quickly and efficiently.

Convenience: Practice any time, anywhere, with Speak Tutor available on your phone or tablet.

Confidence Building: Improve your confidence in speaking a new language by talking about topics of your interest.

Motivation: Stay motivated with personalized lessons and a tutor who keeps you on track with your goals.

Ready to speak a new language fluently? Try Speak AI today and start your language journey with the world's most advanced AI tutor!

[seven23ai]

Mastering Speak: Tips for Better Communication

Speak offers powerful features that can help you communicate more effectively. Here are some tips and tricks to help you make the most of this tool.

Main Content:

Tip 1: Use Real-Time Transcription: Take advantage of Speak’s real-time transcription feature to capture every detail during meetings and conversations. This ensures that you don’t miss any important points.

Tip 2: Leverage Language Translation: Use Speak’s language translation capabilities to communicate seamlessly with people who speak different languages. This feature is especially useful in international business settings.

Tip 3: Review and Edit Transcriptions: After a conversation, use Speak’s editing tools to review and fine-tune the transcriptions, ensuring that the final record is accurate and complete.

Have your own tips for using Speak - https://aiwikiweb.com/product/speak/

[seven23ai]

How Speak Enhances Business Communication

Clear and accurate communication is crucial in the business world, especially when dealing with clients and teams from diverse linguistic backgrounds. Speak offers a solution that improves the clarity and efficiency of business communication.

Main Content:

Problem Statement: Businesses often face challenges in maintaining clear communication during meetings, especially when language barriers or poor transcription tools are involved.

Application: Speak uses advanced AI to provide real-time transcription and translation during business meetings, ensuring that all participants are on the same page. For instance, in a multinational company, Speak can automatically translate and transcribe conversations in multiple languages, making it easier for teams to collaborate and make decisions.

Outcome: Businesses using Speak have reported improved meeting efficiency, better understanding across teams, and enhanced client interactions. The tool’s ability to provide accurate transcriptions and translations in real-time reduces misunderstandings and fosters more effective communication.

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Enhance Communication with Speak AI

Effective communication is essential in both personal and professional settings. Speak is designed to enhance your communication experience by leveraging artificial intelligence to improve speech recognition, transcription accuracy, and language translation, making conversations clearer and more accessible.

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Overview: Speak is an AI-powered communication tool that offers advanced speech recognition, real-time transcription, and language translation. Whether you’re conducting business meetings, learning a new language, or simply having a conversation, Speak ensures that your communication is accurate and effortless.

Ready to elevate your communication? Discover Speak and see how AI can make your conversations more effective and accessible. Visit - https://aiwikiweb.com/product/speak/