Tech
EGYM, a connected fitness startup conceived after the founder hit a wall at the gym, lands $200M at a $1.2B+ valuation
Getting healthy is big business these days. Now a startup that’s come up with a unique approach leveraging tech to help people with their exercise regimes is announcing a big round of funding, putting some weight behind its own push for growth.
Munich-based EGYM — a maker of connected fitness equipment and personalized training tech that has also built out a fitness marketplace between gyms and corporate wellness programs — has closed a Series G round of just over $200 million from L Catterton and Meritech, both new backers of the startup.
The funding is coming in at a post-money valuation of more than $1.2 billion, CEO and founder Philipp Roesch-Schlanderer confirmed to TechCrunch in an interview, and it will be used in a couple of key areas. The company wants to drive more business in its newest markets, the U.K. and the U.S., where it has respectively acquired two smaller companies, Hussle and FitReserve. It also wants to continue building out an AI-based assistant, called Genius, that it launched earlier this year. Despite the hype around AI, Genius is no AI gimmick, Roesch-Schlanderer said.
“I don’t really have an opinion about the broader AI world, but what I can tell you is, in our field, it adds huge value to making sure that people have always the best possible workout at their fingertips based on past success, their behaviors, their goals.” Only around 10% of gym goers have access to personal trainers, making the AI trainer a practical alternative, he added.
Roesch-Schlanderer founded EGYM after his own frustrations with gyms and working out.
Nearly 200 million people around the world stay in shape by working out at gyms. Roesch-Schlanderer also wanted to get in shape, but he found himself at an impasse. If you don’t already go to the gym and work out regularly, chances are you don’t quite know where to begin. And even people who do go regularly don’t have a lot of data about what they could be doing better or differently to avoid getting hurt.
With those gaps in mind, EGYM built a series of connected workout stations that help track what users are doing, leaning on apps to help them track their activity both on EGYM equipment and, using data from wearables, wherever they happen to be breaking a sweat. Initially, EGYM contracted with gyms to sell the equipment, and then later with companies building out company wellness plans to get their employees using that equipment. The whole model is based around B2B2C: No direct-to-consumer plans are in the works.
The formula has been a big success. Roesch-Schlanderer said the company is profitable on an EBITDA basis, and expects to generate $500 million in revenues in 2025.
The company today says that its corporate network operation, Wellpass, has 17,000 sports partners (that is, gyms), 14,000 corporate customers, and 3 million “eligible” employees. (As a point of comparison, when EGYM last raised funding — $225 million in July 2023 — it had 2.5 million users on Wellpass.) Overall, some 18,000 fitness and health centers use EGYM machines and services, working out to some 6 million people using EGYM’s products monthly. Now around 75% of the business is subscription-based, and the remaining 25% is focused around its equipment, he said. “The corporate subscription market is bigger than gym tech but the gym tech is what creates the value,” said Roesch-Schlanderer.
Roesch-Schlanderer is tapping into a rising trend. The world is slowly coming around to the idea of preventative healthcare, looking at better ways of identifying what might go wrong and what to do to avoid that, before it gets too late and your options have dwindled down to cocktails of medication, operations, and a lot of expensive doctor visits.
Companies like Neko Health — the startup co-founded by Daniel Ek — are building clinics that scan customers’ bodies and combines that with AI algorithms to provide a wide range of diagnostics about the state of users’ health so consumers get a better grip on the state of their health. Others are exploring what role the microbiome might play in our health regimes. Fitness is shaping up to be a core part of that proposition.
Nevertheless, the size of the investment is notable given that we are still seeing a dearth of growth rounds in Europe, particularly for companies that are not focused on AI.
The AI play at EGYM, launched earlier this year, is still new and in progress. Asked about which models it uses, the company told me, “EGYM Genius is based on a set of machine learning models that are tailored to the specific problems of the ‘workout’ domain. So Genius is not based on any of the big large language models, but rather on a set of models that has been specifically tailored and trained based on the many years of workout data that EGYM has collected. This allows us to combine the power of deep learning models with advantages of other machine learning methods that e.g. provide more explainability than LLMs.”
Roesch-Schlanderer said that he was proactively getting approached for another round as soon as the previous one was announced.
“We had enough cash to survive another COVID,” he told TechCrunch. COVID-19, and being able to survive something like it, figures big in his mind, because the company nearly collapsed during the pandemic.
However, given that he was getting a lot of inbound interest, he decided to use the moment to find what he described as “dream investors.” Taking a leaf from the Jeff Bezos school of fundraising, he said, “I decided to assemble the right investors for my mission.” That mission: to double down on growth, with an appetite for a little risk thrown in by way of its AI play.
Paul Madera, co-founder and partner at Meritech, and Marc Magliacano, a managing partner at L Catterton, are both joining the board with this round.
Tech
Exclusive: Google deepens Thinking Machines Lab ties with new multi-billion-dollar deal
Former OpenAI executive Mira Murati’s startup, Thinking Machines Lab, has signed a new multi-billion-dollar agreement to expand its use of Google Cloud’s AI infrastructure, including systems powered by Nvidia’s latest GPUs, TechCrunch has exclusively learned.
The deal is valued in the single-digit billions, according to a source familiar with the matter, and includes access to Google’s latest AI systems built atop Nvidia’s new GB300 chips, alongside infrastructure services to support model training and deployment.
Google has been actively striking a number of cloud deals with AI developers as it aims to wrap together its AI computing offerings with other cloud services like storage, a Kubernetes engine, and Spanner, its database product. Earlier this month, Anthropic signed an agreement with Google and Broadcom for multiple gigawatts of tensor processing unit (TPUs) capacity (these are Google’s custom-designed AI chips for machine learning workloads).
But the competition is fierce. Just this week, Anthropic also signed a new agreement with Amazon to secure up to 5 gigawatts of capacity for training and deploying Claude.
Earlier this year, Thinking Machines partnered with Nvidia in a deal that included an investment from the chipmaker. But this is the first time the lab has struck a deal with a cloud services provider. The deal is not exclusive, so Thinking Machines may use multiple cloud providers over time, but it’s still a sign that Google is looking to lock in fast-growing frontier labs early.
Murati left her job as OpenAI’s chief technologist and founded Thinking Machines in February 2025. The company, which soon afterwards raised a $2 billion seed round at a $12 billion valuation, has remained highly secretive, but launched its first product in October. Dubbed Tinker, it’s a tool that automates the creation of custom frontier AI models.
Wednesday’s deal provided some insight into what Thinking Machines is developing. In a press release, Google noted that it can support the startup’s reinforcement learning workloads, which Tinker’s architecture relies on. Reinforcement learning is a training approach that has underpinned recent breakthroughs at labs, including DeepMind and OpenAI, and the scale of the Google Cloud deal reflects how computationally expensive that work can get.
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Thinking Machines is among the first Google Cloud customers to access its GB300-powered systems, which offer a 2X improvement in training and serving speed compared to prior-generation GPUs, per Google.
“Google Cloud got us running at record speed with the reliability we demand,” Myle Ott, a founding researcher at Thinking Machines, said in a statement.
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Tech
The most interesting startups showcased at Google Cloud Next 2026
Google Cloud Next is taking place this week in Las Vegas, and one clear message has emerged: Google wants AI startups on its cloud. To that end, it made several startup-related announcements.
The most significant is that the tech giant has earmarked a new $750 million budget to help its Cloud partners sell more AI agents to enterprises. This funding is available to partners ranging from startups to the big consulting firms. It can be used for costs like Gemini proof-of-concept projects, Google forward-deployed engineers, cloud credits, and deployment rebates.
Google also highlighted a long list of startups that are using Google Cloud, either newly signed or expanding their footprint. Among them are a few standout names:
Lovable is expanding its use of Google Cloud by launching a new coding agent through Google’s enterprise app marketplace. Lovable is the fast-growing vibe coding startup and was on a $400 million ARR track as of February, it said.
Notion, Silicon Valley’s favorite AI-infused document productivity app, most recently valued at about $11 billion, is using Gemini models to power its text and image generation features.
Gamma, an AI-powered PowerPoint killer recently valued at a $2.1 billion valuation, is using Google’s state-of-the-art image model Nano Banana 2 and other Google Cloud features.
Inferact, the commercial inference startup from the creators of the popular open-source project vLLM, is accessing Nvidia’s GPUs through Google Cloud, in addition to using the tech giant’s AI stack.
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ComfyUI, the popular open-source tool for creating AI-generated images and multimedia, also offers access to Nano Banana 2 and is using other Cloud features.
Other startups that received the Google Cloud shout-out this year include:
ChorusView, which makes AI-powered smart tags that track the condition and movement of goods in real time.
Emergent AI, a vibe coding platform.
ExaCare AI, which makes AI software for post-acute medical care facilities.
Insilica, which creates AI-generated regulatory-compliant chemical safety reports.
Optii, which makes AI-enhanced hotel operations software.
Parallel AI, which builds web search and research APIs built for AI agents.
Proximal Health, which makes AI-powered software that automates the insurance claims adjudication process.
Reducto, which does AI-powered document parsing.
Stord, which handles e-commerce fulfillment and parcel operations.
Stylitics, which makes AI image generation software for retailers for tasks like outfit styling and product bundles.
Temporal, a developer cloud environment built to prevent failures.
Vapi, which makes dev tools for building conversational voice agents.
Vurvey Labs, which conducts synthetic market research via AI agents.
Wand, an in-game assistant for single-player PC games.
Watershed, which makes software that helps enterprises report on and manage sustainability programs.
ZenBusiness, an all-in-one back-office tool for small businesses that includes an AI chat assistant.
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Tech
Duolingo is now giving free users access to advanced learning content
Duolingo announced on Wednesday that its advanced language learning content is now available for free across nine languages: English, Spanish, French, German, Italian, Portuguese, Japanese, Korean, and Chinese. Users can access this content through the web, iOS, and Android devices.
This advanced content is at the B2 level on the Common European Framework of Reference for Languages (CEFR), which is the international standard for language skills that schools and employers recognize. B2 level content refers to learning materials without translations, complex scenarios, and specialized vocabulary.
The new offering will include features like “Advanced Stories,” which helps with reading comprehension, and DuoRadio, a podcast-like audio experience for listening comprehension.
Now that Duolingo users can tap into this advanced learning content for free, they can level up their skills, whether that’s practicing for job interviews, prepping for studying abroad, or tackling complex news articles, films, and books without relying on translations.
The company says this positions it as the only free app to offer advanced-level learning across these nine languages at no cost. While competitors like Babbel and Busuu offer advanced courses, they typically require paid subscriptions. For instance, Busuu has some CEFR-aligned courses up to the B2 level, but the free version is pretty limited and doesn’t offer lessons like grammar explanations, so users need to pay for full access.
Previously, Duolingo only provided free courses that capped at A2 or B1 levels, mainly focusing on basic communication skills.
The company is positioning this free advanced learning offering as an enticing opportunity for job seekers, framing language learning as a practical pathway to improving employability in an increasingly global workforce.
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This comes at a time when the job market remains highly competitive and overall growth has slowed. Research from the American Council on the Teaching of Foreign Languages shows that learning a second language can raise someone’s employability by as much as 50%.
“Reaching job-ready proficiency in a new language used to be out of reach for most people,” Bozena Pajak, head of learning science at Duolingo, said in a statement. “It took years of expensive classes or immersive experiences that not everyone could access.”
Duolingo’s decision to offer advanced learning for free is also a strategy to increase its free user base. In its Q4 earnings report, the company stated that it has 52.7 million daily active users, demonstrating 30% growth compared to the previous year. This number is higher than its paid subscriber base, which stands at 12.2 million. However, Duolingo’s shares fell after the company projected that the year-over-year bookings growth rate for Q2 2026 is expected to experience a slight decline.
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