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Little Black Door launches app on iOS/Android allowing women to share wardrobes, online and off
Our relationship with fashion has changed, and not just because of the pandemic. Months in lockdown means people are probably more aware of their fashion purchases and how they consume, given its been such a long time without socializing. But the oft-talked about “Clueless” wardrobe, which would allow women to both see into their collections, as well as share and potentially borrow from friends, has yet to go mainstream. Now a U.K. startup aims to change this.
The Little Black Door app, previously in closed beta, has just launched on the Apple iOS store here and on Android.
The app allows women to share the content of their wardrobes in an Instagram-like manner by creating collections (“Lookbooks”), as well as curate their private wardrobe for their own use, with a focus on premium and luxury fashion. Women, says LBD, can “see, style and share”, as well as resell and borrow clothes offline.
The Lookbook feature allows women to share wardrobes collections with friends or followers in a controlled way, a feature that lets users borrow from each other.
Co-founder Lexi Willetts tells me: “We’d simply gotten to a point where we didn’t know what fashion we owned, given that almost every other area of life allows this. Most fashion can be easily dash-boarded on our phones — we couldn’t understand why our wardrobe wasn’t! Equally the effort required to list an item on resale was also super hard.”
Willetts and co-founder Marina Pengilly came up with the app when they realized they could make as much as £30,000 a year reselling their luxury clothes and accessories online. LBD is going after four key trends: the rise of resale (Depop etc); rentals like Rent the Runway; AI in e-commerce; and re-receipts.
Users upload their wardrobe by taking a photo of an item. The app will then recognize the item using computer vision. Lookbooks showcases fashion collections; new and old also have an “I have this” button, allowing users to add items to their own wardrobes, or add as they buy automatically via links to retailers.
Another key feature allows users to see into their own wardrobes to see what they have, and, crucially, see how much they’ve spent, and own, in value.
Users can also create a Lookbook, not unlike on Pinterest, which can be shared with friends or a wider fashion community in a public or private group-controlled way. Lookbooks can be shared with a user’s network to allow them to see your style, or borrow the outfit in real life. As well as this, LBD itself also curates a feed of fashion/lifestyle news and surveys.
Willetts says partnerships with retailers and supplier deals for sales and fashion repairs are also in the offing.
LBD competes with the Save Your Wardrobe’ app.
But it is pushing the fact that it places a greater emphasis on sharing the wardrobe as well, also allowing people to borrow items With this focus on premium and luxury fashion this makes it a truly social wardrobe, says LBD.
The business model is likely to be a Premium version that unlocks extra features, affiliate revenues, advertising, and resale commissions.
Disclosure: Mike Butcher was an early, informal, adviser.
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Gong going gangbusters, grabs $250M Series E on $7.25B valuation
Gong, the revenue intelligence startup, has been raising capital at a rapid pace, and today the company announced another $250 million on a $7.25 billion valuation, a number that triples its previous valuation from last summer.
Franklin Templeton led today’s festivities with participation from Coatue, Salesforce Ventures, Sequoia, Thrive Capital and Tiger Global. The company raised $200 million last August at a $2.2 billion valuation, and has now raised $584 million, $450 million coming in the last year.
What is making investors open their wallets and pull out such large sums of cash? The company is helping solve a hard problem on how to bring more intelligence to the revenue process. They do this by using artificial intelligence to listen to every customer interaction, whether that’s a sales or service call (or anything else), and use that information to determine valuable information like who is most likely to buy and who is most likely to churn.
It’s been going well and CEO Amit Bendov says the company’s performance really validates the valuation. While he wasn’t ready to discuss specific numbers, he did say that ARR grew 2.3x between Q1 last year and this year, and he says Q2 is on pace to triple ARR.
“The valuation is up about 3x from last summer, but sales are more than 3x. We have high logo customers. [Last year], it was still unclear how COVID was going to impact us. People believed [our business] was going to do well [during the pandemic], but it wasn’t as obvious. Now, it is obvious. And all the […] financials are way better, so from a pure financials [perspective] our multipliers are pretty reasonable for our revenue trajectory,” he said.
With all this growth, the company is adding employees at a rapid pace. It closed the year with 400 people, and is up to around 550 today with a goal of reaching 950 by year end. It has partnered with a consulting firm called ReadySet, which helps companies build diverse and inclusive organizations, and Bendov says they are an equal-pay company.
Women represent around 40% of the employees and around 4% are Black, a number he hopes to increase by growing the Atlanta office. In the office in Israel, he has set up employment and training programs to build bridges to the Arab community.
Bendov says he looks forward to meeting his U.S. employees in the coming weeks when he’ll be visiting the Atlanta office for the first time.
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OroraTech’s space-based early wildfire warnings spark $7M investment
With wildfires becoming an ever more devastating annual phenomenon, it is in the whole planet’s interest to spot them and respond as early as possible — and the best vantage point for that is space. OroraTech is a German startup building a constellation of small satellites to power a global wildfire warning system, and will be using a freshly raised €5.8 million (~$7 million) A round to kick things off.
Wildfires destroy tens of millions of acres of forest every year, causing immense harm to people and the planet in countless ways. Once they’ve grown to a certain size, they’re near impossible to stop, so the earlier they can be located and worked against, the better.
But these fires can start just about anywhere in a dried out forest hundreds of miles wide, and literally every minute and hour counts — watch towers, helicopter flights and other frequently used methods may not be fast or exact enough to effectively counteract this increasingly serious threat. Not to mention they’re expensive and often dangerous jobs for those who perform them.
OroraTech’s plan is to use a constellation of about 100 satellites equipped with custom infrared cameras to watch the entire globe (or at least the parts most likely to burst into flame) at once, reporting any fire bigger than 10 meters across within half an hour.
Image Credits: OroraTech
To start out with, the Bavarian company has used data from over a dozen satellites already in space, in order to prove out the service on the ground. But with this funding round they are set to put their own bird in the air, a shoebox-sized satellite with a custom infrared sensor that will be launched by Spire later this year. Onboard machine learning processing of this imagery simplifies the downstream process.
Fourteen more satellites are planned for launch by 2023, presumably once they’ve kicked the proverbial tires on the first one and come up with the inevitable improvements.
“In order to cover even more regions in the future and to be able to give warning earlier, we aim to launch our own specialized satellite constellation into orbit,” said CEO and co-founder Thomas Grübler in a press release. “We are therefore delighted to have renowned investors on board to support us with capital and technological know-how in implementing our plans.”
Image Credits: OroraTech
Those renowned investors consist of Findus Venture and Ananda Impact Ventures, which led the round, followed by APEX Ventures, BayernKapital, Clemens Kaiser, SpaceTec Capital and Ingo Baumann. The company was spun out of research done by the founders at TUM, which maintains an interest.
“It is absolutely remarkable what they have built up and achieved so far despite limited financial resources and we feel very proud that we are allowed to be part of this inspiring and ambitious NewSpace project,” APEX’s Wolfgang Neubert said, and indeed it’s impressive to have a leading space-based data service with little cash (it raised an undisclosed seed about a year ago) and no satellites.
It’s not the only company doing infrared imagery of the Earth’s surface; SatelliteVu recently raised money to launch its own, much smaller constellation, though it’s focused on monitoring cities and other high-interest areas, not the vast expanse of forests. And ConstellR is aimed (literally) at the farming world, monitoring fields for precision crop management.
With money in its pocket Orora can expand and start providing its improved detection services, though sadly, it likely won’t be upgrading before wildfire season hits the northern hemisphere this year.
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Iterative raises $20M for its MLOps platform
Iterative, an open-source startup that is building an enterprise AI platform to help companies operationalize their models, today announced that it has raised a $20 million Series A round led by 468 Capital and Mesosphere co-founder Florian Leibert. Previous investors True Ventures and Afore Capital also participated in this round, which brings the company’s total funding to $25 million.
The core idea behind Iterative is to provide data scientists and data engineers with a platform that closely resembles a modern GitOps-driven development stack.
After spending time in academia, Iterative co-founder and CEO Dmitry Petrov joined Microsoft as a data scientist on the Bing team in 2013. He noted that the industry has changed quite a bit since then. While early on, the questions were about how to build machine learning models, today the problem is how to build predictable processes around machine learning, especially in large organizations with sizable teams. “How can we make the team productive, not the person? This is a new challenge for the entire industry,” he said.
Big companies (like Microsoft) were able to build their own proprietary tooling and processes to build their AI operations, Petrov noted, but that’s not an option for smaller companies.
Currently, Iterative’s stack consists of a couple of different components that sit on top of tools like GitLab and GitHub. These include DVC for running experiments and data and model versioning, CML, the company’s CI/CD platform for machine learning, and the company’s newest product, Studio, its SaaS platform for enabling collaboration between teams. Instead of reinventing the wheel, Iterative essentially provides data scientists who already use GitHub or GitLab to collaborate on their source code with a tool like DVC Studio that extends this to help them collaborate on data and metrics, too.
Image Credits: Iterative
“DVC Studio enables machine learning developers to run hundreds of experiments with full transparency, giving other developers in the organization the ability to collaborate fully in the process,” said Petrov. “The funding today will help us bring more innovative products and services into our ecosystem.”
Petrov stressed that he wants to build an ecosystem of tools, not a monolithic platform. When the company closed this current funding round about three months ago, Iterative had about 30 employees, many of whom were previously active in the open-source community around its projects. Today, that number is already closer to 60.
“Data, ML and AI are becoming an essential part of the industry and IT infrastructure,” said Leibert, general partner at 468 Capital. “Companies with great open-source adoption and bottom-up market strategy, like Iterative, are going to define the standards for AI tools and processes around building ML models.”
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How Expensify hacked its way to a robust, scalable tech stack
Take a close look at any ambitious startup and you’ll find pugnacity nestled in its core. Stubbornness and a bullheaded belief in the worth of what a company wants to bring to fruition is often the biggest driver of its success, and the people at such companies also tend to share this quality.
So it wouldn’t be too far off the mark to say the people at Expensify are a stubborn lot — to the company’s ultimate benefit. This group of P2P pirates/hackers that set out to build an expense management app stuck to their gut, made their own rules. They asked questions few thought of, like: Why have lots of employees when you can find a way to get work done and reach impressive profitability with a few? Why work from an office in San Francisco when the internet lets you work from anywhere, even a sailboat in the Caribbean?
It makes sense in a way: If you’re a pirate, to hell with the rules, right? And even more so when nobody can explain the rules in the first place.
With that in mind, one could assume Expensify decided to ask itself: Why not build our own totally custom tech stack? Indeed, Expensify has made several tech decisions that were met with disbelief — from having an open-source frontend and cross-platform mobile development to hiring contractors to train its AI and recruiting open-source contributors — but its belief in its own choices has paid off over the years, and the company is ready to IPO any day now.
How much of a tech advantage Expensify enjoys owing to such choices is an open question, but one thing is clear: These choices are key to understanding Expensify and its roadmap. Let’s take a look.
Built on Bedrock
I think another question Expensify also decided to ask in its early days was something like: Why not have our database on top of a technology that’s built for small-scale application software?
It may sound incredible, but Expensify actually runs on a custom database built on top of SQLite. This is surprising, because despite being one of the most widely deployed database engines, SQLite is known for running on small, embedded systems like smartphones and web browsers, not powering enterprise-scale databases.
It may sound incredible, but Expensify actually runs on a custom database built on top of SQLite.
This custom database is called Bedrock, and its architecture is as unique as they come. Expensify explains it as an “RDBMS optimized for self-healing replication across relatively slow, relatively unreliable WAN (internet) connections, enabling extremely high availability/high performance multi-datacenter deployments without any single point of failure.” RDBMS means relational database management system, describing SQLite and other row-based databases where entries are interconnected with each other.
But why would Expensify build this instead of going for any number of widely available enterprise database solutions?
To answer that question, we need to go back to the early days of the company, which was originally a side project for its founder and CEO, David Barrett. His initial idea was to develop a prepaid card for the homeless, but this required putting a server on the Visa network, which brought several strict requirements and challenges. “I would say one of the most difficult [parts] was that I needed the ability to automatically replicate and failover,” Barrett told TechCrunch when we interviewed him a couple of months ago.
This was no easy feat in 2007, but Barrett was up for the challenge. “I just hit a moment where the technology available off the shelf just wasn’t that good. And I happened to be a peer-to-peer software developer who had tons of spare time and really wanted to build this thing to put on the Visa backend,” he said. The P2P aspect was important, as Barrett had the skills to make it work. His first hires for Expensify, P2P engineers he had worked with at Red Swoosh and Akamai, were also unusually suited for the job.
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Cognigy raises $44M to scale its enterprise-focused conversational AI platform
Artificial intelligence is becoming an increasingly common part of how customer service works — a trend that was accelerated in this past year as so many other services went virtual and digital — and today a startup that has built a set of low-code tools to help enterprises integrate more AI into their customer service processes is announcing some funding to fuel its growth.
Cognigy, which provides a low-code conversational AI platform that notably can be used flexibly across a range of applications and geographies — it supports 120 languages; it can be used in external or internal service applications; it can support voice services but also chatbots; it provides real-time assistance for human agents and usage analytics or fully automated responses; it can integrate with standard call center software, and also with RPA packages; and it can be run in the cloud or on-premise — has closed a round of $44 million, funding that it will be using to continue scaling its business internationally.
Insight Partners is leading the Series B investment, with previous backers DN Capital, Global Brain, Nordic Makers, Inventures and Digital Innovation and Growth also participating. The Dusseldorf-based company had previously only raised $11 million and spent the first several years of business bootstrapped.
Cognigy is not disclosing its valuation but it has up to now built up a concentration of customers in areas like transportation, e-commerce and insurance and counts a number of big multinational companies among its customer list, including Lufthansa, Mobily, BioNTech, Vueling Airlines, Bosch and Daimler, with “thousands” of virtual assistants now powered by Cognigy live in the market.
With 25% of Cognigy’s business already coming from the U.S., the plan now is to use some funding to invest in building out its service deeper into the U.S., Asia and across more of Europe, CEO and founder Philipp Heltewig said in an interview.
“Conversational AI” these days appears in many guises: it can be a chatbot you come across on a website when you’re searching for something, or it can be prompts provided to agents or salespeople, information and real-time feedback to help them do their jobs better. Conversational AI can also be a personal assistant on your company’s HR application to help you book time off or deal with any number of other administrative jobs, or a personal assistant that helps you use your phone or set your house alarm.
There are a number of companies in the tech world that have built tools to address these various use cases. Specifically in the area of services aimed at enterprises, some of them, like Gong, are raising huge money right now. What is notable about Cognigy is that it has built a platform that is attempting to address a wide swathe of applications: one platform, many uses, in other words.
Cognigy’s other selling point is that it is playing into the new interest in low- and no-code tools, which in Cognigy’s case makes the integration of AI into a customer assistance process a relatively easy task, something that can be built not just by developers, but data scientists, those working directly on conversation design, and nontechnical business users using the tools themselves.
“The low-code platform helps enterprises adopt what is otherwise complex technology in an easy and flexible way, whether it is a customer or employee contact center,” said Heltewig. As you might expect, there are some direct competitors in the low- and no-code conversational AI space, too, including Ada, Talkie, Snaps and more.
Flexibility seems to be the order of the day for enterprises, and also the companies building tools for them: it means that a company can grow into a larger customer, and that in theory Cognigy will also evolve the platform based on what its customers need. As one example, Heltewig pointed out that a number of its customers are — contrary to the beating drum and march you see every day toward cloud services — running a fair number of applications on-premises, since this appears to be a key way to ensure the security of the customer data that they handle.
“Lufthansa could never run its customer services in the cloud because they handle a lot of sensitive data and they want full ownership of it,” he noted. “We can run cloud services and have a full offering for those who want it, but many large enterprises prefer to run their services on premises.”
Teddie Wardi, an MD at Insight, is joining the board with this round. “We are thrilled to be leading Cognigy’s Series B as the company continues on their ScaleUp journey,” he said in a statement. “Evident by their strong customer retention, Cognigy has created an essential product for global businesses to improve their customer experience in an efficient and effortless manner. With the new funding, Cognigy will be able to expand their leadership position to reach new markets and acquire more customers.”
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6 investors and founders forecast hockey-stick growth for Edinburgh’s startup scene
Scotland is slowly but surely drawing attention in the UK’s startup space. In 2020, Scottish startups collectively raised £345 million, according to Tech Nation, and with nearly 2,500 startups, it has the highest number of budding tech companies outside London. Venture capital fundraises are also consistently on the rise every year.
Scotland’s capital Edinburgh boasts a beautiful, hilly landscape, a robust education system and good access to grant funding, public and private investment. It’s also one of the top financial centers in the U.K., making it a great place to begin a business.
So to find out what the startup scene in Edinburgh looks like, we spoke to six founders, executives and investors. The city’s tech ecosystem appears to have a robust space for machine learning, artificial intelligence, biomedicine, fintech, travel tech, oil, renewables, e-commerce, gaming, health tech, deep tech, space tech and insurtech.
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However, the city’s tech scene is apparently lackluster when it comes to legal tech, blockchain and consumer-facing technology.
Breakout companies that were founded in Edinburgh include Skyscanner and FanDuel. Notable among the current crop are Desana, Continuum Industries, Parsley Box, Current Health, Boundary, Zumo, Appointedd, Criton, Mallzee, TravelNest, TVSquared, Care Sourcer, Stampede, For-Sight, Vistalworks, Reath, InfraCost, Speech Graphics and Cyan Forensics.
The Edinburgh business-angel community appears to be quite strong, but it seems local founders find it difficult to get London-based investors to take an interest. Scottish investors are said to be “pretty conservative and risk-adverse” with some notable exceptions.
We surveyed:
- Wendy Lamin, managing director, Holoxica
- Andrew Noble, partner, Par Equity
- Danae Shell, co-founder and CEO, Valla
- Allan Nelson, co-founder and CEO, For-Sight
- Lysimachos Zografos, founder, Parkure
- Bertie Wilson, co-founder in stealth mode
Wendy Lamin, managing director, Holoxica
Which sectors is your tech ecosystem strong in? What are you most excited by? What does it lack?
It’s strong in space, biomedicine, fintech/insurtech, AI.
What are the tech investors like in Edinburgh? What’s their focus?
The Scottish business-angel community is said to be the largest in Europe. It’s difficult to get London-based investors take an interest in Scotland — investors can tend to look at where companies are based. It is hard for “underrepresented founders” to get investments in Scotland and beyond.
With the shift to remote working, do you think people will stay in Edinburgh or will they move out? Will others move in?
Stay. Not always easy to get people to come and live in Scotland. Edinburgh, there are lots of prejudices, despite it being one of the best cities to live in in the whole of the U.K.
Who are the key startup people in the city (e.g., investors, founders, lawyers, designers)?
Good to see more focus on impact investing. Par Equity is one of Edinburgh’s biggest investors, whereas Archangels is one of the biggest angel investors. Poonam Malik is great for diversity and female entrepreneurs, and she is on the board of Scottish Enterprise, and is a social entrepreneur and investor. Garry Bernstein is also an investor — he leads the Scottish chapter of Tech London Advocates and Global Tech Advocates, and as such is the founder of Tech Scot Advocates.
Where do you think the city’s tech scene will be in five years?
Thriving. The government is doing its best for the tech sector. Education in tech is currently an issue, though. Hope Brexit won’t be too much of an issue.
Andrew Noble, partner, Par Equity
Which sectors is your tech ecosystem strong in? What are you most excited by? What does it lack?
Strong in fintech, health tech, data science, deep tech. Excited by quantum computing, advanced materials, AI in Edinburgh. Weak in blockchain and consumer.
Which are the most interesting startups in Edinburgh?
Current Health, InfraCost, Speech Graphics and Cyan Forensics.
What are the tech investors like in Edinburgh? What’s their focus?
Good at seed stage up to £1 million, okay for pre-series A (£1 million to £3 million) and non-existent for Series A (£3 million-£10 million). Quality of investors is improving. Par Equity is leading the way.
With the shift to remote working, do you think people will stay in Edinburgh, or will they move out? Will others move in?
Experiencing influx of new talent due to COVID-19. Edinburgh is a highly desirable city to live in. Recent new residents include Aaron Ross (Predictable Revenue) and Jules Pursuad (early employee at Airbnb and now VP at Omio).
Who are the key startup people in the city (e.g., investors, founders, lawyers, designers)?
Par Equity (investor), Paul Atkinson, Alistair Forbes, Mark Logan, Lesley Eccles, Chris McCann, CodeBase.
Where do you think the city’s tech scene will be in five years?
One to two new unicorns. Promising number of high-growth tech companies. A much more sophisticated investor scene in the Series A space.
Danae Shell, co-founder and CEO, Valla
Which sectors is your tech ecosystem strong in? What are you most excited by? What does it lack?
Edinburgh is strong in fintech because of our proximity to so many financial services companies and banks. Also, there are some exciting games tech companies because of our history of games companies. We’re pretty weak in law tech, Valla’s area.
Which are the most interesting startups in Edinburgh?
Vistalworks for consumer tech; Sustainably for fintech; Reath for sustainable tech.
What are the tech investors like in Edinburgh? What’s their focus?
As a rule, Scottish investors are pretty conservative and risk-averse. The only real exception is Techstart Ventures, in my experience.
With the shift to remote working, do you think people will stay in Edinburgh, or will they move out? Will others move in?
I think more people will come to Edinburgh from London because the quality of life and cost of living are both so much better here.
Who are the key startup people in the city (e.g., investors, founders, lawyers, designers)?
Calum Forsyth and Mark Hogarth at Techstart Ventures; Janine Matheson at CodeBase; Jackie Waring from the Investing Women angel syndicate; Jim Newbury is a very well-respected developer and coach, and my co-founder Kate Ho is also well known. Also Danny Helson who runs the EIE event with the Bayes Centre.
Where do you think the city’s tech scene will be in five years?
We’ve had a few exits in the past few years (Skyscanner, FreeAgent), which means that talent is spreading out across the ecosystem here and we’re getting some fantastic new startups kicking off. In five years, that first crop should be coming into the Series A stage so we could see a lot of super exciting businesses!
Allan Nelson, co-founder and CEO, For-Sight
Which sectors is your tech ecosystem strong in? What are you most excited by? What does it lack?
Strong in fintech, travel tech, health, oil, renewables, e-commerce, gaming (both video game and gambling tech). Excited by all bar oil (great driver of revenue, but not the future).
Which are the most interesting startups in Edinburgh?
Boundary, Parsley Box, Appointedd, Criton, Mallzee, TravelNest, TVSquared, Care Sourcer, Stampede, For-Sight.
What are the tech investors like in Edinburgh? What’s their focus?
Big fintech scene here. Travel tech is growing too, with Skyscanner’s influence strong.
With the shift to remote working, do you think people will stay in Edinburgh, or will they move out? Will others move in?
Most will stay, as it’s a very attractive city to live and work in. It’s a globally recognized and unique city. Very international flavor as evidenced by the makeup of our team.
Who are the key startup people in the city (e.g., investors, founders, lawyers, designers)?
Ex-Skyscanner people including Gareth Williams, Mark Logan, etc. Ian Ritchie, Alistair Forbes, the FanDuel’s founders and the CodeBase founders.
Where do you think the city’s tech scene will be in five years?
A lot bigger, as tech is a key growth target of the Scottish government and is underpinned/influenced/inspired by Skyscanner and FanDuel.
Lysimachos Zografos, founder, Parkure
Which sectors is your tech ecosystem strong in? What are you most excited by? What does it lack?
Strong in machine learning/AI/digital. Weak in deep tech discovery, especially in biotech/therapeutics. Excited by the rise in adoption of AI in drug discovery — all these ideas that were sci-fi 20 years ago are now adopted in £B deals.
Which are the most interesting startups in Edinburgh?
Pheno Therapeutics.
What are the tech investors like in Edinburgh? What’s their focus?
Conservative angels and a few tech seed VCs.
With the shift to remote working, do you think people will stay in Edinburgh, or will they move out? Will others move in?
Move in.
Who are the key startup people in the city (e.g., investors, founders, lawyers, designers)?
Investors: Archangels, Techstart Ventures and Epidarex.
Where do you think the city’s tech scene will be in five years?
Growing.
Bertie Wilson, co-founder, “Stealth mode”
Which sectors is your tech ecosystem strong in? What are you most excited by? What does it lack?
I don’t think there are any sectors that stand out — it’s fairly evenly split. A good strength of the city is the talent that comes from the universities. There are some really good engineers that come from Edinburgh, Heriot Watt and Edinburgh Napier. The main weakness is that the ecosystem doesn’t favor the most ambitious founders. Most investors in the region are angels and aren’t interested in finding outliers that could grow 1000x and are more interested in backing companies that are less risky but might 5x their money. If you want to find investors that will back risky (but very ambitious) plans, it’s easier to find that elsewhere.
Which are the most interesting startups in Edinburgh?
Desana, Continuum Industries, Parsley Box, Current Health, Boundary, Zumo.
What are the tech investors like in Edinburgh? What’s their focus?
I would say it’s getting better, but there are still a lot of issues with the ecosystem. It is being helped in Scotland by the likes of Techstart investing at the earliest stages with high conviction and term sheets that are more similar to London VCs. Outside of this, though, it’s easy for founders to end up with a messy cap table due to the number of angels and lack of VCs looking for VC-type returns — the messiness of these cap tables can then make it hard to raise venture funding down the line. This is fine for a lot of companies that aren’t aiming for a venture-scale return (which admittedly is a lot), but it can hurt those that are.
With the shift to remote working, do you think people will stay in Edinburgh, or will they move out? Will others move in?
I imagine and hope others will move in. It is a great place to live with a very high quality of life, and this should be a natural attraction for people who want a good standard of living but want to remain in a city.
Who are the key startup people in the city (e.g., investors, founders, lawyers, designers)?
SEP (investor), Techstart Ventures (investor), Gareth Williams (founder/investor), MBM Commercial (lawyers), Pentech, Bill Dobbie (investor), Jamie Coleman.
Where do you think the city’s tech scene will be in five years?
Optimistically, I hope that there will be a good number of companies that are at the Series B/Series C stage, which will invite a lot more interest from investors outside of Edinburgh (London, Berlin, Paris, New York, San Francisco, etc.) to start investing more actively in the city at the earliest stages as well as these stages.
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Meet Justos, the new Brazilian insurtech that just got backing from the CEOs of 7 unicorns
Here in the U.S. the concept of using a driver’s data to decide the cost of auto insurance premiums is not a new one.
But in markets like Brazil, the idea is still considered relatively novel. A new startup called Justos claims it will be the first Brazilian insurer to use drivers’ data to reward those who drive safely by offering “fairer” prices.
And now Justos has raised about $2.8 million in a seed round led by Kaszek, one of the largest and most active VC firms in Latin America. Big Bets also participated in the round, along with the CEOs of seven unicorns, including Assaf Wand, CEO and co-founder of Hippo Insurance; David Vélez, founder and CEO of Nubank; Carlos Garcia, founder and CEO of Kavak; Sergio Furio, founder and CEO of Creditas; Patrick Sigrist, founder of iFood and Fritz Lanman, CEO of ClassPass. (There’s a seventh CEO who wishes to remain anonymous). Senior executives from Robinhood, Stripe, Wise, Carta and Capital One also put money in the round.
Serial entrepreneurs Dhaval Chadha, Jorge Soto Moreno and Antonio Molins co-founded Justos, having most recently worked at various Silicon Valley-based companies including ClassPass, Netflix and Airbnb.
“While we have been friends for a while, it was a coincidence that all three of us were thinking about building something new in Latin America,” Chadha said. “We spent two months studying possible paths, talking to people and investors in the United States, Brazil and Mexico, until we came up with the idea of creating an insurance company that can modernize the sector, starting with auto insurance.”
Ultimately, the trio decided that the auto insurance market would be an ideal sector considering that in Brazil, an estimated more than 70% of cars are not insured.
The process to get insurance in the country, by any accounts, is a slow one. It takes up to 72 hours to receive initial coverage and two weeks to receive the final insurance policy. Insurers also take their time in resolving claims related to car damages and loss due to accidents, the entrepreneurs say. They also charge that pricing is often not fair or transparent.
Justos aims to improve the whole auto insurance process in Brazil by measuring the way people drive to help price their insurance policies. Similar to Root here in the U.S., Justos intends to collect users’ data through their mobile phones so that it can “more accurately and assertively price different types of risk.” This way, the startup claims it can offer plans that are up to 30% cheaper than traditional plans, and grant discounts each month, according to the driving patterns of the previous month of each customer.
“We measure how safely people drive using the sensors on their cell phones,” Chadha said. “This allows us to offer cheaper insurance to users who drive well, thereby reducing biases that are inherent in the pricing models used by traditional insurance companies.”
Justos also plans to use artificial intelligence and computerized vision to analyze and process claims more quickly and machine learning for image analysis and to create bots that help accelerate claims processing.
“We are building a design-driven, mobile first and customer experience that aims to revolutionize insurance in Brazil, similar to what Nubank did with banking,” Chadha told TechCrunch. “We will be eliminating any hidden fees, a lot of the small text and insurance-specific jargon that is very confusing for customers.”
Justos will offer its product directly to its customers as well as through distribution channels like banks and brokers.
“By going direct to consumer, we are able to acquire users cheaper than our competitors and give back the savings to our users in the form of cheaper prices,” Chadha said.
Customers will be able to buy insurance through Justos’ app, website or even WhatsApp. For now, the company is only adding potential customers to a waitlist but plans to begin selling policies later this year..
During the pandemic, the auto insurance sector in Brazil declined by 1%, according to Chadha, who believes that indicates “there is latent demand raring to go once things open up again.”
Justos has a social good component as well. Justos intends to cap its profits and give any leftover revenue back to nonprofit organizations.
The company also has an ambitious goal: to help make insurance become universally accessible around the world and the roads safer in general.
“People will face everyday risks with a greater sense of safety and adventure. Road accidents will reduce drastically as a result of incentives for safer driving, and the streets will be safer,” Chadha said. “People, rather than profits, will become the focus of the insurance industry.”
Justos plans to use its new capital to set up operations, such as forming partnerships with reinsurers and an insurance company for fronting, since it is starting as an MGA (managing general agent).
It’s also working on building out its products such as apps, its back end and internal operations tools, as well as designing all its processes for underwriting, claims and finance. Justos’ data science team is also building out its own pricing model.
The startup will be focused on Brazil, with plans to eventually expand within Latin America, then Iberia and Asia.
Kaszek’s Andy Young said his firm was impressed by the team’s previous experience and passion for what they’re building.
“It’s a huge space, ripe for innovation and this is the type of team that can take it to the next level,” Young told TechCrunch. “The team has taken an approach to building an insurance platform that blends being consumer-centric and data-driven to produce something that is not only cheaper and rewards safety but as the brand implies in Portuguese, is fairer.”
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Anthropic is the new AI research outfit from OpenAI’s Dario Amodei, and it has $124M to burn
As AI has grown from a menagerie of research projects to include a handful of titanic, industry-powering models like GPT-3, there is a need for the sector to evolve — or so thinks Dario Amodei, former VP of research at OpenAI, who struck out on his own to create a new company a few months ago. Anthropic, as it’s called, was founded with his sister Daniela and its goal is to create “large-scale AI systems that are steerable, interpretable, and robust.”
The challenge the siblings Amodei are tackling is simply that these AI models, while incredibly powerful, are not well understood. GPT-3, which they worked on, is an astonishingly versatile language system that can produce extremely convincing text in practically any style, and on any topic.
But say you had it generate rhyming couplets with Shakespeare and Pope as examples. How does it do it? What is it “thinking”? Which knob would you tweak, which dial would you turn, to make it more melancholy, less romantic, or limit its diction and lexicon in specific ways? Certainly there are parameters to change here and there, but really no one knows exactly how this extremely convincing language sausage is being made.
It’s one thing to not know when an AI model is generating poetry, quite another when the model is watching a department store for suspicious behavior, or fetching legal precedents for a judge about to pass down a sentence. Today the general rule is: the more powerful the system, the harder it is to explain its actions. That’s not exactly a good trend.
“Large, general systems of today can have significant benefits, but can also be unpredictable, unreliable, and opaque: our goal is to make progress on these issues,” reads the company’s self-description. “For now, we’re primarily focused on research towards these goals; down the road, we foresee many opportunities for our work to create value commercially and for public benefit.”
The goal seems to be to integrate safety principles into the existing priority system of AI development that generally favors efficiency and power. Like any other industry, it’s easier and more effective to incorporate something from the beginning than to bolt it on at the end. Attempting to make some of the biggest models out there able to be picked apart and understood may be more work than building them in the first place. Anthropic seems to be starting fresh.
“Anthropic’s goal is to make the fundamental research advances that will let us build more capable, general, and reliable AI systems, then deploy these systems in a way that benefits people,” said Dario Amodei, CEO of the new venture, in a short post announcing the company and its $124 million in funding.
That funding, by the way, is as star-studded as you might expect. It was led by Skype co-founder Jaan Tallinn, and included James McClave, Dustin Moskovitz, Eric Schmidt and the Center for Emerging Risk Research, among others.
The company is a public benefit corporation, and the plan for now, as the limited information on the site suggests, is to remain heads-down on researching these fundamental questions of how to make large models more tractable and interpretable. We can expect more information later this year, perhaps, as the mission and team coalesces and initial results pan out.
The name, incidentally, is adjacent to anthropocentric, and concerns relevancy to human experience or existence. Perhaps it derives from the “Anthropic principle,” the notion that intelligent life is possible in the universe because… well, we’re here. If intelligence is inevitable under the right conditions, the company just has to create those conditions.
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Breinify announces $11M seed to bring data science to the marketing team
Breinify is a startup working to apply data science to personalization, and do it in a way that makes it accessible to nontechnical marketing employees to build more meaningful customer experiences. Today the company announced a funding round totaling $11 million.
The investment was led by Gutbrain Ventures and PBJ Capital with participation from Streamlined Ventures, CXO Fund, Amino Capital, Startup Capital Ventures and Sterling Road.
Breinify co-founder and CEO Diane Keng says that she and co-founder and CTO Philipp Meisen started the company to bring predictive personalization based on data science to marketers with the goal of helping them improve a customer’s experience by personalizing messages tailored to individual tastes.
“We’re big believers that the world, especially consumer brands, really need strong predictive personalization. But when you think about consumer big brands or the retailers that you buy from, most of them aren’t data scientists, nor do they really know how to activate [machine learning] at scale,” Keng told TechCrunch.
She says that she wanted to make this type of technology more accessible by hiding the complexity behind the algorithms powering the platform. “Instead of telling you how powerful the algorithms are, we show you [what that means for the] consumer experience, and in the end what that means for both the consumer and you as a marketer individually,” she said.
That involves the kind of customizations you might expect around website messaging, emails, texts or whatever channel a marketer might be using to communicate with the buyer. “So the AI decides you should be shown these products, this offer, this specific promotion at this time, [whether it’s] the web, email or SMS. So you’re not getting the same content across different channels, and we do all that automatically for you, and that’s [driven by the algorithms],” she said.
Breinify launched in 2016 and participated in the TechCrunch Disrupt Startup Battlefield competition in San Francisco that year. She said it was early days for the company, but it helped them focus their approach. “I think it gave us a huge stage presence. It gave us a chance to test out the idea just to see where the market was in regards to needing a solution like this. We definitely learned a lot. I think it showed us that people were interested in personalization,” she said. And although the company didn’t win the competition, it ended up walking away with a funding deal.
Today the startup is growing fast and has 24 employees, up from 10 last year. Keng, who is an Asian woman, places a high premium on diversity.
“We partner with about four different kinds of diversity groups right now to source candidates, but at the end of the day, I think if you are someone that’s eager to learn, and you might not have all the skills yet, and you’re [part of an under-represented] group we encourage everyone to apply as much as possible. We put a lot of work into trying to create a really well-rounded group,” she said.
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