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Placer.ai boosts valuation to $1.5B after quietly raising another $75M

Pointer of map on matrix background with digits 1 and 0

Image Credits: Iurii Motov / Getty Images

Location data, for better or worse, continues to be a part of the bedrock of how apps are built. Now a startup developing AI market research based on that location data, Placer.ai, has quietly raised $75 million at an expanded valuation of nearly $1.5 billion, TechCrunch has learned.

The startup provides a wide range of location-based analytics to companies in verticals like retail, events and entertainment, CPG, retail estate, financial services and healthcare by combining AI with anonymized data that it sources from third-party apps.

We first became aware of the funding by way of a Form D filed in July detailing Placer’s intentions to raise $75 million. We have confirmed with the company’s CEO and CFO that it has closed the full amount, with a new valuation of $1.45 billion, up nearly 50% since its last round, a $100 million Series C made at a $1 billion valuation. 

The investment underscores the growing value of location data for businesses beyond the app publishers themselves. And, at a time when more people are aware of data protection around mobile apps, not least due to a growing number of data breaches, it also serves as a reminder of just how much data we generate through modern life.

Placer’s analytics cover general trends like foot traffic at a particular location or for a particular store — factoids like Aldi currently ranking as the fastest-growing retailer based on visits — but also more detailed data about who buys what and and when, people’s demographic profiles and more.

Such methods are a little creepy, as some have noted, but also not totally uncommon. (Others that track location data include Foursquare, Esri and many others offer location analytics.)

Like other mobile analytics firms, the startup picks up data by way of an SDK that it installs with hundreds of app publishers, as well as through other third-party sources. It describes itself as a “privacy by design” business: All of the data it uses is anonymized before it comes to Placer, the company said.

The company declined to disclose specific participants in this latest fundraise except to note that existing backers participated. PitchBook notes that real estate investment firm GEM Realty Capital is also in this most recent round. 

Overall, Placer has more than 50 investors — both firms and individuals — on its cap table. They include Josh Buckley (the former CEO of Product Hunt), WndrCo (Jeffrey Katzenberg’s investment firm), Lachy Groom, MMC Technology Ventures, Fifth Wall Ventures and Array Ventures, alongside J.M. Schapiro (CEO of Continental Realty Corp), Eliot Bencuya and Jeff Karsh of Tryperion Partners, Daniel Klein of Klein Enterprises/Sundeck Capital and Majestic Realty.

Numbers have been strong for the company. Placer’s CEO and co-founder Noam Ben-Zvi told TechCrunch in an interview that the company crossed an annual revenue run rate of $100 million in February, and it has grown 80% in the last year and expects to grow another 60% this year. It has also passed 4,300 customers (up from 1,000 in 2022 when it raised the $100 million). The list includes the likes of Sony, various city development organizations, Wegmans, and Century 21. 

“What ties them together is that they all have a stake in the physical world,” he said. 

The funding was raised based on inbound interest, CFO Dean Nese said. The plan will be to use the funding for business development and to add more features and datasets to the platform. It says it already provides users with “hundreds” of these datasets.

Placer was founded in 2018 by Ben-Zvi and fellow Israelis Zohar Bar-Yehuda (data scientist), Oded Fossfeld (CTO) and Ofir Lemel (CPO), and it was just two years later that the company faced what you might assume would be a death knell for a location analytics company: the arrival of the COVID-19 pandemic and the world turning away from physical gatherings. It turned out to be the opposite.

At an especially restricted time, Ben-Zvi said, “Our data provided a lot of visibility into what was working and what was not working.”

Having that foothold with customers meant that the company expanded its reach along with the world “reopening” for business.

While Placer has always used machine learning and inference to build more detailed profiles based on the data that they glean from apps, that has now also been a strong point with its end users, who have been given a green light to explore how to build more AI into their workflows. 

“Customers want a holistic one-stop-shop platform for market research,” he said. “They may ask themselves: Should I expand to this market? How are my competitors doing? What they want is all the underlying data that’s relevant, and all the aggregations and the tools on top. Analytics is a core ingredient.”

Poolside is raising $400M+ at a $2B valuation to build a supercharged coding co-pilot

startups, AI, venture capital

Image Credits: Viaframe / Getty Images

Paris has quickly established itself as a major European center for AI startups, and now another deal in the works could cement that position even further. 

Poolside.ai, a generative AI company based out of Paris that is building tools to speed up software development, is in the process of raising at least $400 million, on a post-money valuation of $2 billion, sources tell TechCrunch. 

Bain Capital Ventures (BCV) and DST are in talks to co-lead the round at the moment, sources tell us. BCV is a previous backer of the company, and DST is a new investor. Bain’s participation has been previously reported, with PitchBook noting this to be an estimated $450 million round.

Poolside made a splash (ahem) last August when it became yet another AI startup in the city to raise a big seed round. It picked up $126 million from backers that included, in addition to BCV, early-stage specialists like London’s Air Street, Abstraction and Scribble Ventures, and New Wave and Frst from France. Bpifrance, Felicis, Point Nine, and Redpoint were also in the round. None of the investors we contacted would comment for this story. Poolside’s CEO did not respond to our request for comment.

Mistral and H, two foundational model companies, are among those that have also raised nine-figure seed rounds ($113 million and $220 million, respectively) out of the city. The City of Light might need to be renamed the City of AI at this rate. 

Looking at the bigger picture, it feels at times like the market has gotten very overheated, very fast, for AI startups, which collectively are raising many of billions of dollars when you also include the likes of Anthropic and OpenAI. Do we need another foundational AI company, you might ask? 

There are a number of reasons why Poolside is getting this level of funding to take its own big swing at the generative AI opportunity:

Strength of the founding team and its connection to the company’s premise. Both are steeped in the world of developer tools and DevOps. One founder, CEO Jason Warner, was the CTO of GitHub and led engineering for Heroku and Canonical. The other co-founder, CTO Eiso Kant, previously founded Athenian, which had built a series of tools for developers to help them optimize how they build and work. (That company was acquired by the Linux Foundation for an undisclosed sum.) Warner was also previously a VC at Redpoint and knows the value and language of the interaction between VCs and founders. 

The problem being solved. Unlike those building foundational large language models (LLMs) that are more generalized in their approach, Poolside (for now at least) is looking at one use case in particular: helping developers work faster. This will resonate with investors and is reminiscent of a memorable essay written by Paul Graham many years ago about startup ideas, building tools that you yourself know you would need, which by default means that founders and likely other technologists should need. 

Although the likes of Mistral also have a focus on developers and developer tools, not to mention Microsoft’s adaptation of OpenAI for GitHub (indeed OpenAI is all about its APIs, which are also used by developers), there have been some notable examples of how code is one of the more problematic blind spots (again, for now at least) for more general LLMs. Right now, there is a window of opportunity to build this, and build it better than a more generalist approach. 

That’s not to say that Poolside is not also thinking big. In a three-step plan outlined on its website, it notes that eventually it hopes to work, after developers, with anyone who wants to write code and software; and then, after that, “generalize these capabilities beyond software to all other fields.” NBD!

Early signs of what they have built. What I have not seen is whether the company has released a product yet in general availability, but there is some evidence that they are working and growing (and perhaps running in private beta?). Its compute supplier, IREN, in April reported that Poolside had ramped up its cloud services deal with the company. 

Last but certainly not least, there is monetization. As one source close to the company said to me, there are many examples of AI addressing different areas of the market, but not many have clear indications — much less proof — of monetization potential. (Yes, the big deal that OpenAI inked with PwC could open the door to more enterprise business, but that might be a years-long effort; meanwhile, it remains to be seen what take-up at any enterprise might look like.)

With Poolside, however, if you consider the opportunity and scale of building co-pilot tools for developers, it may well be one of the best and most straightfoward places to apply AI, if done right. It’s a clear, large need and all computer programming has syntax, so it’s not nearly as open-ended as so many other areas where AI is being applied. Plus, it has constraints, and indications of performance, and benchmarks — a winning combination for investors and startups looking to build businesses. 

We’ll update this post as we learn more.

Creatio logo and team photo

Creatio raises $200M at a $1.2B valuation for its no-code CRM and workflow platform

Creatio logo and team photo

Image Credits: Creatio

Creatio, the no-code CRM and workflow automation platform, on Wednesday announced that it has raised a $200 million funding round led by Sapphire Ventures. StepStone Group and current investors Volition Capital and Horizon Capital also participated in this round.

“The problem we’re solving is addressing the need of knowledge workers,” Creatio co-founder and CEO Katherine Kostereva told me. “And we’re talking about 1.7 billion people in the world [who we want to help] automate their workflows with the power of no-code.”

Image Credits: Creatio

As the demand for software continues to increase, she noted, the number of developers isn’t keeping pace. Obviously, Creatio isn’t the only company trying to fill this void, and there is no dearth of no-code tools available to businesses today. But Kostereva argues that what sets Creatio apart is that it was always architected to work at an enterprise scale.

“What we deliver to our clients is all front office: sales, customer relationship, marketing, service management processes,” she said. That means the company competes with the likes of Oracle, Salesforce, Microsoft and SAP, but Kostereva says that being smaller allows Creatio to be more agile than its larger competitors.

And, of course, because this is 2024, Creatio, too, is riding the AI wave with a copilot for its CRM users and no-code creators. “Right now, what we’re hearing from people more and more is that cloud technology built back in the beginning of the 2000s, like Salesforce, is considered more like legacy tech. Everyone is looking for new technology, cutting-edge technology — and this is exactly what Creatio delivers with our AI, no-code architectures.”

Image Credits: Creatio

The AI features include capabilities like helping sales teams score opportunities or generate emails, as well as helping the company’s no-code creators design workflows and convert text-based requirements into business rules, among various other use cases.

Kostereva stressed that machine learning-based tools have long been part of Creatio’s toolset, but generative AI has allowed the company to take this a step further.

She noted that the company is currently growing 50% year-over-year, and given that Creatio was a bootstrapped company for the longest time, it’s in its DNA to be capital efficient. But the team is now seeing an opportunity to double down and expand quickly. That means building out its AI capabilities and core no-code features, but also its partner ecosystem, which already drives half the business.

“We are thrilled to partner with CEO Katherine Kostereva and the entire Creatio team,” said Rajeev Dham, managing director at Sapphire Ventures. “Creatio’s true AI-powered no-code platform — built on a unique, composable architecture — offers exceptional flexibility and usability that empowers enterprise customers to swiftly build, deploy and personalize applications for a variety of use cases across CRM, case management and workflow automation. The power and agility of the platform combined with the team’s relentless dedication have allowed them to deliver remarkable ROI and time to value for their customers.”

Poolside is raising $400M+ at a $2B valuation to build a supercharged coding co-pilot

startups, AI, venture capital

Image Credits: Viaframe / Getty Images

Paris has quickly established itself as a major European center for AI startups, and now another deal in the works could cement that position even further. 

Poolside.ai, a generative AI company based out of Paris that is building tools to speed up software development, is in the process of raising at least $400 million, on a post-money valuation of $2 billion, sources tell TechCrunch. 

Bain Capital Ventures and DST are in talks to co-lead the round at the moment, sources tell us. BCV is a previous backer of the company, and DST is a new investor. Bain’s participation has been previously reported, with PitchBook noting this to be an estimated $450 million round.

Poolside made a splash (ahem) last August when it became yet another AI startup in the city to raise a big seed round. It picked up $126 million from backers that included, in addition to BCV, early stage specialists like London’s Air Street, Abstraction and Scribble Ventures, and New Wave and Frst from France. Bpifrance, Felicis, Point Nine, and Redpoint were also in the round. None of the investors we contacted would comment for this story. Poolside’s CEO did not respond to our request for comment.

Mistral and H, two foundational model companies, are among those that have also raised 9-figure seed rounds (respectively $113 million and $220 million) out of the city. The City of Light might need to be renamed the City of AI at this rate. 

Looking at the bigger picture, it feels at times like the market has gotten very overheated, very fast, for AI startups, which collectively are raising many of billions of dollars when you also include the likes of Anthropic and OpenAI. Do we need another foundational AI company, you might ask? 

There are a number of reasons why Poolside is getting this level of funding to take its own big swing at the generative AI opportunity:

Strength of founding team and its connection to the company’s premise. Both are steeped in the world of developer tools and DevOps. One founder, CEO Jason Warner, was the CTO of GitHub and led engineering for Heroku and Canonical. The other, CTO Eiso Kant, previously founded Athenian, which had built a series of tools for developers to help them optimise how they build and work. (That company was acquired by the Linux Foundation for an undisclosed sum.) Warner was also previously a VC at Redpoint and knows the value and language of the interaction between VCs and founders. 

The problem being solved. Unlike those building foundational LLM models that are more generalized in their approach, Poolside (for now at least) is looking at one use case in particular: helping developers work faster. This will resonate with investors, and is reminiscent of a memorable essay written by Paul Graham many years ago about startup ideas, building tools that you yourself know you would need, which by default means that founders and likely other technologists should need. 

Although the likes of Mistral also have a focus on developers and developer tools, not to mention Microsoft’s adaptation of OpenAI for GitHub (indeed OpenAI is all about its APIs which are also used by developers), there have been some notable examples of how code is one of the more problematic blind spots (again, for now at least) for more general LLMs. Right now, there is a window of opportunity to build this, and build it better than a more generalist approach. 

That’s not to say that Poolside is not also thinking big. In a three-step plan outlined on its website, it notes that eventually it hopes to work, after developers, with anyone who wants to write code and software; and then, after that, “Generalize these capabilities beyond software to all other fields.” NBD!

Early signs of what they have built. What I have not seen is whether the company has released a product yet in general availability, but there is some evidence that they are working and growing (and perhaps running in private beta?). Its compute supplier, IREN, in April reported that Poolside had ramped up its cloud services deal with the company. 

Last but certainly not least, there is monetization. As one source close to the company said to me, there are many examples of AI addressing different areas of the market, but not many have clear indications – much less proof – of monetization potential. (Yes, the big deal that OpenAI inked with PwC could open the door to more enterprise business, but that might be a years-long effort; meanwhile, it remains to be seen what take-up at any enterprise might look like.)

With Poolside, however, if you consider the opportunity and scale of building co-pilot tools for developers, it may well be one of the best and most straightfoward places to apply AI, if done right. It’s a clear, large need and all computer programming has syntax, so it’s not nearly as open-ended as so many other areas where AI is being applied. Plus, it has constraints, and indications of performance, and benchmarks – a winning combination for investors and startups looking to build businesses. 

We’ll update this post as we learn more.

Finn raises $109M on a $658M valuation, taking its car subscription platform up another gear

fist bump while driving

Image Credits: Finn (opens in a new window) under a license.

Finn, a startup based out of Munich that operates a platform for new car subscriptions — an alternative to buying or leasing for those who want to drive new vehicles — has raised a sizable round of growth funding, money it plans to use to expand its tech and reach, with a move into more electric vehicles and cloud-based tools to manage its services. The company, which currently manages 25,000 subscriptions in Germany and the U.S., has raised €100 million ($109-110 million), a Series C that values the company at €600 million post-money ($658 million at current rates).

Planet First Partners, a European growth equity firm that says it focuses on sustainability, is leading the round. That emphasis on sustainability is translating into a goal at Finn to have 80% of its car inventory electric by 2028, from 40% today.

“The transition to electric vehicles is one of the major societal shifts taking place globally and is crucial in our move towards a more sustainable economy,” Nathan Medlock, managing partner at Planet First Partners, said in a statement. “With road transport accounting for around one-sixth of global emissions, electric vehicles are vital to decarbonize society.” He’s joining the board with this round.

Previous backers such as HV Capital, Korelya Capital, UVC Partners, White Star Capital and Picus Capital are also participating. It’s now raised about $250 million in equity, and it has raised some $1 billion in debt, offered on a rolling facility where Finn pays back sums based on cars it sells.

It’s been a very bumpy road for the car subscription market over the years. High-profile startups like Fair.com raised hundreds of millions of dollars before collapsing and ultimately pivoting. One of the bigger players in Europe, Onto in the U.K., filed for bankruptcy in September 2023. Cazoo, which snapped up a couple of car subscription companies in its growth strategy, has sunset that business in 2023 amid its own scramble to shore up finances to avoid its own failure.

The idea of car subscriptions is neat, but the execution is not. Boston Consulting described it as a “passing fancy — a product in search of demand.” That’s meant disastrous unit economics, and of course many unknowns as to who will, longer term, want to possess cars on subscription models. 

Maximilian Wühr, Finn’s CEO and co-founder, believes that his company’s relatively late entry into the market — it was founded in Germany in 2019 and expanded into the U.S., the only other market where it currently operates, in 2022 — has given it a better set of insights into what hasn’t worked for others, to help it avoid making the same mistakes.

Its formula is based around offering new cars — which make up about 97% of the company’s inventory, Wühr said — that are offered typically on subscriptions of around 12 months (longer than a rental, shorter than the average lease).

New cars are sourced directly from OEMs and it buys in bulk. It has around 350 different permutations of configurations that it offers to users, but it doesn’t give them any options to customize themselves beyond that. And it’s brokered deals in advance with car retailers to buy up the vehicles when subscriptions are finished.

Also, it sells both to individual consumers as well as businesses that will take on several vehicles for their workers, it doesn’t allow customers to use the cars for certain things, specifically ride hailing.

The vehicles are delivered all-in, with insurance, tax and technical inspection (but not maintenance) included in the monthly fees. There are a range of prices, but popular models go between €430 through to €1,200 per month.

That effort, he said, has led to the company reaching annualized recurring revenues of €160 million across the two markets (with the vast majority of that, €150 million, in Germany). While Finn overall is not yet profitable, he said that “the core product is profitable,” meaning the company has figured out unit economics that some of its less successful peers did not.

Today, there are already some strong currents of data science at play at Finn, used to help the company figure out what people are interested in driving and how much they are willing to pay for that.

It’s also already built out an e-commerce platform aimed at maximum efficiency. Car transactions online contend with the same issues with shopping cart abandonment that e-commerce retailers regularly face — too many hurdles to buying what they want online usually results in people changing their minds and leaving sites — so the company has optimized the process of looking up and buying a car.

“You can order the subscription in less than five minutes, and then within days it gets delivered to your doorstep,” he said.

The plan, Wühr said, is to create a deeper and more “seamless” experience in its app, for those already subscribing to cars, either to exchange vehicles for new ones, to contact customer support, to buy any extra services, and more. Support can be one of the most costly aspects of any service-based model, so it’s aiming to take the human out of the loop as much as possible, he said, to reduce that further.

“We want to make sure that the companion app is working really, really well for subscribers,” he said. “Whenever there is something related to the car, you basically won’t need to talk to a human being ever again.”

The company is trying to tap into the connected car evolution, too, although that is coming more slowly: Although the goal is to be able to have better diagnostics about how much its customers are actually driving cars, in real time, and to perhaps build services that they can use while being subscribers, for now Wühr said that not enough of its existing fleet has the facilities to manage that — and those that do typically all have proprietary systems — in any useful or cost-effective way for Finn to implement it.

Finn’s expansion to the U.S. is more recent, and that business is smaller and faces its own challenges, so one thing to watch out for is whether it manages to scale up there as it has in its home market. Wühr said that in Germany it has managed to build strong relationships with OEMs for sourcing vehicles, to the point that it’s covering more than 80% of the most popular makes and models in the market (comprised of 30 brands, he added). That’s not exactly the case in the U.S., he said, where conversations with OEMs have been slower to translate into deals.

“The U.S. is working really, really well from a consumers perspective, but it is a little bit harder to get to the right OEMs and just because you need more scale in the U.S., it makes it a harder market to kind of like get into,” Wühr admitted.

BlackRock cuts Byju's valuation by 95% to $1 billion

Byju Raveendran

Image Credits: Paul Yeung / Bloomberg / Getty Images

BlackRock has yet again cut the value of its holding in Byju’s, slashing the implied valuation of the Indian startup to about $1 billion from $22 billion in early 2022, according to disclosures made by the asset manager.

At the end of October last year, BlackRock said it valued Byju’s shares at about $209.6 apiece, down from the peak of $4,660 in 2022, implying a valuation of $990 million. The asset manager, like other mutual fund investors, makes multiple disclosures about its portfolio in a year, but doesn’t explain its rationale behind any valuation adjustments. Its new valuation adjustment hasn’t been previously reported.

BlackRock, which owns less than 1% of Byju’s, didn’t immediately respond to a request for comment Thursday. Byju’s declined to comment.

This isn’t the first time BlackRock has cut the worth of its holding in Byju’s — and BlackRock isn’t the only investor that has severely downgraded how they value Byju’s, but the new adjustment is by far the most drastic. Prosus, which owns about 9% in Byju’s, said late last year that it valued Byju’s at “sub $3 billion.” At $22 billion, Byju’s ranked as India’s most valuable startup.

The valuation markdown is a stunning reversal of fortune for Byju’s, once the poster child of the Indian startup ecosystem. The startup, which spent more than $2.5 billion in 2021 and 2022 acquiring over half a dozen firms globally, was once showered a valuation as high as $50 billion by marquee investment bankers, TechCrunch earlier reported.

Byju’s has been backed by over a dozen movers and shakers in the industry, from Peak XV Partners to Lightspeed, UBS and Chan Zuckerberg Initiative. The startup, which gained initial popularity in India because its tutors used intuitive ways — tackling complex concepts using real-life objects such as pizza and cake — has raised over $5 billion in equity and debt in the past decade.

Byju’s was preparing to go public in early 2022 through a SPAC deal that would have valued the company at up to $40 billion. However, Russia’s invasion of Ukraine in February sent markets downward, forcing Byju’s to put its IPO plans on hold, according to a source familiar with the matter. As market conditions worsened, so too did the business outlook for Byju’s. The company began facing mounting pressure from investors to address issues that it had previously left unresolved.

Byju’s today is reeling from a series of challenges: It’s struggling to raise capital, make payroll and pay off its billion-plus debt. It missed its revenue target for the financial year ending in March 2022, the startup disclosed in a much-delayed account last month.

Byju’s CFO Ajay Goel left the startup in less than seven months to return to Vedanta in late October, following high-profile and abrupt departures of auditor Deloitte and three of Byju’s key board members in June. Prosus publicly slammed the Bengaluru-headquartered startup in July for not evolving sufficiently and disregarding the investor’s advice and recommendations despite repeated attempts.

Finn raises $109M on a $658M valuation, taking its car subscription platform up another gear

fist bump while driving

Image Credits: Finn (opens in a new window) under a license.

Finn, a startup based out of Munich that operates a platform for new car subscriptions — an alternative to buying or leasing for those who want to drive new vehicles — has raised a sizable round of growth funding, money it plans to use to expand its tech and reach, with a move into more electric vehicles and cloud-based tools to manage its services. The company, which currently manages 25,000 subscriptions in Germany and the U.S., has raised €100 million ($109-110 million), a Series C that values the company at €600 million post-money ($658 million at current rates).

Planet First Partners, a European growth equity firm that says it focuses on sustainability, is leading the round. That emphasis on sustainability is translating into a goal at Finn to have 80% of its car inventory electric by 2028, from 40% today.

“The transition to electric vehicles is one of the major societal shifts taking place globally and is crucial in our move towards a more sustainable economy,” Nathan Medlock, managing partner at Planet First Partners, said in a statement. “With road transport accounting for around one-sixth of global emissions, electric vehicles are vital to decarbonize society.” He’s joining the board with this round.

Previous backers such as HV Capital, Korelya Capital, UVC Partners, White Star Capital and Picus Capital are also participating. It’s now raised about $250 million in equity, and it has raised some $1 billion in debt, offered on a rolling facility where Finn pays back sums based on cars it sells.

It’s been a very bumpy road for the car subscription market over the years. High-profile startups like Fair.com raised hundreds of millions of dollars before collapsing and ultimately pivoting. One of the bigger players in Europe, Onto in the U.K., filed for bankruptcy in September 2023. Cazoo, which snapped up a couple of car subscription companies in its growth strategy, has sunset that business in 2023 amid its own scramble to shore up finances to avoid its own failure.

The idea of car subscriptions is neat, but the execution is not. Boston Consulting described it as a “passing fancy — a product in search of demand.” That’s meant disastrous unit economics, and of course many unknowns as to who will, longer term, want to possess cars on subscription models. 

Maximilian Wühr, Finn’s CEO and co-founder, believes that his company’s relatively late entry into the market — it was founded in Germany in 2019 and expanded into the U.S., the only other market where it currently operates, in 2022 — has given it a better set of insights into what hasn’t worked for others, to help it avoid making the same mistakes.

Its formula is based around offering new cars — which make up about 97% of the company’s inventory, Wühr said — that are offered typically on subscriptions of around 12 months (longer than a rental, shorter than the average lease).

New cars are sourced directly from OEMs and it buys in bulk. It has around 350 different permutations of configurations that it offers to users, but it doesn’t give them any options to customize themselves beyond that. And it’s brokered deals in advance with car retailers to buy up the vehicles when subscriptions are finished.

Also, it sells both to individual consumers as well as businesses that will take on several vehicles for their workers, it doesn’t allow customers to use the cars for certain things, specifically ride hailing.

The vehicles are delivered all-in, with insurance, tax and technical inspection (but not maintenance) included in the monthly fees. There are a range of prices, but popular models go between €430 through to €1,200 per month.

That effort, he said, has led to the company reaching annualized recurring revenues of €160 million across the two markets (with the vast majority of that, €150 million, in Germany). While Finn overall is not yet profitable, he said that “the core product is profitable,” meaning the company has figured out unit economics that some of its less successful peers did not.

Today, there are already some strong currents of data science at play at Finn, used to help the company figure out what people are interested in driving and how much they are willing to pay for that.

It’s also already built out an e-commerce platform aimed at maximum efficiency. Car transactions online contend with the same issues with shopping cart abandonment that e-commerce retailers regularly face — too many hurdles to buying what they want online usually results in people changing their minds and leaving sites — so the company has optimized the process of looking up and buying a car.

“You can order the subscription in less than five minutes, and then within days it gets delivered to your doorstep,” he said.

The plan, Wühr said, is to create a deeper and more “seamless” experience in its app, for those already subscribing to cars, either to exchange vehicles for new ones, to contact customer support, to buy any extra services, and more. Support can be one of the most costly aspects of any service-based model, so it’s aiming to take the human out of the loop as much as possible, he said, to reduce that further.

“We want to make sure that the companion app is working really, really well for subscribers,” he said. “Whenever there is something related to the car, you basically won’t need to talk to a human being ever again.”

The company is trying to tap into the connected car evolution, too, although that is coming more slowly: Although the goal is to be able to have better diagnostics about how much its customers are actually driving cars, in real time, and to perhaps build services that they can use while being subscribers, for now Wühr said that not enough of its existing fleet has the facilities to manage that — and those that do typically all have proprietary systems — in any useful or cost-effective way for Finn to implement it.

Finn’s expansion to the U.S. is more recent, and that business is smaller and faces its own challenges, so one thing to watch out for is whether it manages to scale up there as it has in its home market. Wühr said that in Germany it has managed to build strong relationships with OEMs for sourcing vehicles, to the point that it’s covering more than 80% of the most popular makes and models in the market (comprised of 30 brands, he added). That’s not exactly the case in the U.S., he said, where conversations with OEMs have been slower to translate into deals.

“The U.S. is working really, really well from a consumers perspective, but it is a little bit harder to get to the right OEMs and just because you need more scale in the U.S., it makes it a harder market to kind of like get into,” Wühr admitted.

BlackRock cuts Byju's valuation by 95% to $1 billion

Byju Raveendran

Image Credits: Paul Yeung / Bloomberg / Getty Images

BlackRock has yet again cut the value of its holding in Byju’s, slashing the implied valuation of the Indian startup to about $1 billion from $22 billion in early 2022, according to disclosures made by the asset manager.

At the end of October last year, BlackRock said it valued Byju’s shares at about $209.6 apiece, down from the peak of $4,660 in 2022, implying a valuation of $990 million. The asset manager, like other mutual fund investors, makes multiple disclosures about its portfolio in a year, but doesn’t explain its rationale behind any valuation adjustments. Its new valuation adjustment hasn’t been previously reported.

BlackRock, which owns less than 1% of Byju’s, didn’t immediately respond to a request for comment Thursday. Byju’s declined to comment.

This isn’t the first time BlackRock has cut the worth of its holding in Byju’s — and BlackRock isn’t the only investor that has severely downgraded how they value Byju’s, but the new adjustment is by far the most drastic. Prosus, which owns about 9% in Byju’s, said late last year that it valued Byju’s at “sub $3 billion.” At $22 billion, Byju’s ranked as India’s most valuable startup.

The valuation markdown is a stunning reversal of fortune for Byju’s, once the poster child of the Indian startup ecosystem. The startup, which spent more than $2.5 billion in 2021 and 2022 acquiring over half a dozen firms globally, was once showered a valuation as high as $50 billion by marquee investment bankers, TechCrunch earlier reported.

Byju’s has been backed by over a dozen movers and shakers in the industry, from Peak XV Partners to Lightspeed, UBS and Chan Zuckerberg Initiative. The startup, which gained initial popularity in India because its tutors used intuitive ways — tackling complex concepts using real-life objects such as pizza and cake — has raised over $5 billion in equity and debt in the past decade.

Byju’s was preparing to go public in early 2022 through a SPAC deal that would have valued the company at up to $40 billion. However, Russia’s invasion of Ukraine in February sent markets downward, forcing Byju’s to put its IPO plans on hold, according to a source familiar with the matter. As market conditions worsened, so too did the business outlook for Byju’s. The company began facing mounting pressure from investors to address issues that it had previously left unresolved.

Byju’s today is reeling from a series of challenges: It’s struggling to raise capital, make payroll and pay off its billion-plus debt. It missed its revenue target for the financial year ending in March 2022, the startup disclosed in a much-delayed account last month.

Byju’s CFO Ajay Goel left the startup in less than seven months to return to Vedanta in late October, following high-profile and abrupt departures of auditor Deloitte and three of Byju’s key board members in June. Prosus publicly slammed the Bengaluru-headquartered startup in July for not evolving sufficiently and disregarding the investor’s advice and recommendations despite repeated attempts.

Byju Raveendran

Byju's cuts valuation ask by 99% in rights issue amid cash crunch

Byju Raveendran

Image Credits: Paul Yeung / Bloomberg / Getty Images

Byju’s, the world’s most valuable edtech startup, has cut its valuation ask by 99% in a rights issue it launched Monday as the Indian firm scrambles to meet its liabilities and operational costs. The startup is looking to raise $200 million in the rights issue, capital it said was “essential to prevent any further value impairment.”

The startup, once India’s most valuable, is resetting its valuation to “next to nothing” in the rights issue, where all existing investors have an opportunity to participate, according to a source familiar with the matter. If Byju’s succeeds in raising $200 million, the post-money valuation of the startup will be in the range of $220 million to $225 million, a 99%-plus drop from the $22 billion value that the startup had attained in 2022, according to the source, who requested anonymity sharing nonpublic information.

Byju’s founder Byju Raveendran told shareholders in a letter Monday that he and other founders of the edtech group have invested $1.1 billion into the Bengaluru-headquartered startup in the last 18 months and seek continued support from the investors to keep the business afloat. “We have made immense personal sacrifices for the sake of the company. We have spent our lives building this company and are fervent believers in its mission,” Raveendran wrote in the letter, seen by TechCrunch.

The rights issue comes as Byju’s looks to secure capital amid a severe funding crunch. The startup, which spent $2.5 billion acquiring more than a dozen firms in 2021 and 2022, has raised more than $5 billion in equity and debt from backers including General Atlantic, Silver Lake, Peak XV, Lightspeed, Chan Zuckerberg Initiative, BlackRock, UBS, Prosus Ventures and B Capital. Byju’s said in a statement that it expects the rights issue to close in 30 days.

“It has been 21 months since our last external capital raise, during which we have cut our burn and worked to become a lean organization, razor-focused on execution. The board believes it is imperative that the company raises capital in order to create a glidepath to deliver strong shareholder value,” Raveendran wrote in the letter.

Byju’s is not the only high-profile Indian startup that has struggled to raise capital in recent years. Online pharmacy startup PharmEasy cut its valuation by over 90% to below $600 million in a rights issue last year. The startup had raised over $1.5 billion in equity and debt prior to the rights issue.

Byju’s has been chasing new funding for nearly a year. The startup was in the final stages to raise about $1 billion last year, but the talks derailed after the auditor Deloitte and three key board members quit the startup. Instead, Byju’s ended up raising less than $150 million in that round from Davidson Kempner and had to repay the investor the full committed amount after making a technical default in a separate $1.2 billion term loan B.

Byju’s was preparing to go public in early 2022 through a SPAC deal that would have valued the company at up to $40 billion. However, Russia’s invasion of Ukraine in February sent markets downward, forcing Byju’s to put its IPO plans on hold, according to a source familiar with the matter. As market conditions worsened, so too did the business outlook for Byju’s.

Some of Byju’s investors have publicly aired their concerns about the startup in recent quarters, questioning some of its business decisions and demanding greater governance. In a way, the rights issue allows Byju’s to part ways with its existing investors who have become naysayers. Those who do not participate in the rights issue will lose their entire equity position in the startup.

AI agent concept with robot inside a laptop with a voice bubble on red background.

China's Moonshot AI zooms to $2.5B valuation, raising $1B for an LLM focused on long context

AI agent concept with robot inside a laptop with a voice bubble on red background.

Image Credits: Carol Yepes / Getty Images

The race to build the next big large language model is on, and now a contender out of China has reportedly banked a major round of funding to catapult it to the front of the pack.

Moonshot AI, an artificial intelligence startup founded less than a year ago building LLMs that can handle long inputs of text and data, has raised over $1 billion in a Series B round, according to multiple media reports out of China. If accurate, this latest injection of capital would value Moonshot AI at $2.5 billion — the largest single funding round for Chinese LLM developers on public record.

The startup — which goes by YueZhiAnMian in China — has been focused, like many in AI right now, on the development of large language models. Specifically, its unique selling point is that it’s working on being able to process long-form context and response, an area that has long outfoxed others in the field.

It’s been moving quickly to roll out its first efforts to address this.

In March of last year — to coincide with the 50th anniversary of Pink Floyd’s The Dark Side of the Moon, founder Yang Zhilin’s favorite album and the inspiration for the startup’s name — the startup launched with a 100 billion-parameter LLM.

Then in October, Moonshot launched its first chatbot in China, Kimi, which claims to be able to support the processing of 200,000 Chinese characters in a single conversation — allegedly eight times the length of what OpenAI’s GPT-4-32K can achieve.

We have contacted Yang Zhilin, the AI researcher and academic who founded Moonshot with Zhou Xinyu and Wu Yuxin, for comment and will update this post if and when he responds.

Meanwhile, the reports say the funding is coming from a list of big-name investors that include a number of potentially interesting strategic partners. Co-leading the round are e-commerce giant Alibaba and HongShan — the VC firm formerly known as Sequoia China, according to South China Morning Post. Others in the round included Chinese “super app” Meituan and Xiaohongshu (sometimes called China’s answer to Instagram), according to Chinese tech blog LatePost.

(Bloomberg reported a week after the funding news first emerged that Alibaba led the $1 billion round with Monolith Management participating.)

Moonshot previously raised $200 million from HongShan and Zhen Fund in a round that valued it at $300 million, according to PitchBook Data.

HongShan, contacted for comment, declined to comment on the reports. Alibaba has not responded to a request for comment. We also separately reached out to Moonshot.

If accurate, HongShan’s involvement here would be notable. Sequoia Capital formally announced last year that it would split off its Asian operations in India and China amid rising geopolitical tensions. That process is due finally to be completed by March 24.

But in the meantime, the China operation has come under scrutiny from the U.S. government for its AI deals in the U.S.; and the U.S. firm is equally being probed for ongoing activity in China. Given all this, it’s no surprise that the once high-profile investor may be laying low here.

Significantly, the rest of the investor list that’s been reported is a veritable who’s who of household tech names. This underscores the ongoing retreat — or at least pause — among financial investors into promising Chinese startups, especially those out of the West and doing deals in U.S. dollars.

But it also points to how — just as we have seen play out in the U.S., with companies like Microsoft, Google and Amazon ploughing billions of dollars into LLM startups like OpenAI and Anthropic — big tech companies in China are scrambling for what might be their big AI play in the months and years ahead. Having a financial foothold in a handful of promising hopefuls is one way to shortcut, or augment, whatever they may be trying to build in-house.

OpenAI rules the roost right now in the U.S. and arguably everywhere else that it has expanded, but in China there is no anointed leader, so a lot of the investment activity feels like it is about spreading bets.

Alibaba, to that end, is also an investor in Baichuan — founded by Xiaochuan Wang, a pioneer in the search engine space, which raised $350 million by the end of last year, passing a $1 billion valuation in the process — as well as Zhipu AI, another LLM upstart, and 01.AI, the LLM company founded by Kai-Fu Lee.

Alibaba’s archrival Tencent meanwhile has backed Baichuan, Zhipu, MiniMax and Light Years Beyond. Make no mistake: China’s internet giants have replaced those western-money VCs in backing the country’s LLM contenders.

All the same, if $1 billion sounds like an awful lot of money to hand over to a startup that is less than a year old, one of the reasons big names might be willing to take big bets is because of the pedigree.

Pink Floyd fan turned AI trailblazer

Yang Zhilin had a long list of achievements to his credit even before starting Moonshot.

He holds a computer science PhD from Carnegie Mellon University, where he was advised by Ruslan Salakhutdinov, who previously headed up AI research at Apple after the iPhone maker quietly acquired a startup he founded called Perceptual Machines — an acquisition that seems never to have been reported but is noted in the professor’s LinkedIn profile and professional timeline.

Prior to that, he studied at Tsinghua University, advised by Jie Tang. He’s also worked at Google Brain and Meta AI.

Yang also has another AI startup in the works, Recurrent.AI, which appears to be focused specifically on technologies built to help salespeople to their jobs better (with features that sound not dissimilar to say, Gong.AI). As of 2021, Recurrent had raised some $60 million according to PitchBook. And while there hasn’t been much capital activity since then, the business does appear to remain operational.

Importantly for Moonshot, Yang was also a key author of Transformer-XL, a key development in LLM architecture for enabling natural language understanding beyond a fixed-length context, something that has played a significant role in the development of Moonshot’s platform and, arguably, wider mission.

Moonshot’s focus on longer input and output and producing more accurate results for queries involving this lays the groundwork for the company to target text-based use cases that haven’t been widely tapped by existing LLMs and generative AI applications, such as legal documents, fiction writing and deeper financial analysis. Kimi Chat is trained on information up to January 2024, the chatbot says.

It’s not the only Chinese player working to remove the limits of long context. Baichuan back in October announced its Baichuan2-192K model, which is said to process around 350,000 Chinese characters in one context window.

The market for fundraising remains constrained globally, but this round speaks to the willingness of those with deep pockets jump in, when the right opportunities come up. Yet even with the wider, global AI frenzy — where some $200 billion is set to be invested by 2025, forecasts Goldman Sachs — the funding landscape in China is surprisingly tepid.

In 2023, China recorded around 232 investments in the AI space, a 38% decline year-over-year, according to research firm CBInsight. The total amount raised by China’s AI firms amounted to roughly $2 billion, 70% less than the year before.