Participated · Series C · Feb 2026

Encord builds a universal data layer for AI, concentrating on physical AI applications such as robots, autonomous vehicles, and drones. Its cloud platform ingests and organizes multimodal data—including audio, video, sensor feeds, and 3D point clouds—so teams can curate, annotate, and align datasets across the model lifecycle. The company serves more than 300 customers worldwide, among them Woven by Toyota, Zipline, Skydio, and AXA Financial. Over the last twelve months, data stored on Encord’s platform expanded from 1 PB to over 5 PB, while revenue from physical AI customers grew ten-fold. Analysts project an explosion in physical AI deployments, and Encord positions itself as the infrastructure that readies proprietary data for these systems. The newly raised funds will accelerate product development and support entry into additional markets. With the latest round, Encord’s total funding stands at $110 million.

Participated · Series B · Jun 2025

Knowunity is an AI-powered learning companion that combines personalized AI tutoring with over 3 million peer-created, curriculum-aligned study materials and short-form visual content. The platform operates on a freemium model with an optional premium subscription and brand partnerships with Vodafone, Gothaer, and Porsche. It serves more than 20 million users across 15 countries and has over 380,000 student creators; in Germany one in three students uses the app and in Latin America it reached one in ten students within months of launch. Knowunity’s AI tutor is trained on the peer-created materials, localized to national curricula, and delivers tailored recommendations and audio explainers. Engagement is strong—users overall use the app more than five times per week, and the AI companion is used more than seven times per week. The majority of revenue now comes from a fast-growing B2C subscription business, and the company aims to scale globally to provide affordable, 24/7 intelligent tutoring to a billion students. Knowunity operates a peer-to-peer learning platform focused on Gen Z, where top-performing students can create and publish study content for others. The app emphasizes a clean UX and user-generated study notes, now hosting over 300,000 study notes across subjects. Since launching in 2020 by CEO Benedict Kurz, it has been downloaded over 2.4 million times and is the number one learning app in Germany with more than 20,000 ratings. The company has expanded to Austria, Switzerland, France (about 300,000 Gen Z users) and Poland (60,000+ students). Knowunity plans to use the new capital to accelerate product development and market expansion, beginning with Italy and the UK, and intends to grow its team from 60 to 100 by year-end. Knowunity is a digital learning platform for and by students that enables users to find and upload study materials through its app. Launched in September 2020 and based in Stuttgart, the app hosts more than 50,000 pieces of user-generated content—summaries, learning aids, and explanations—available free across subjects. Experienced students can upload content, help others, and build follower bases, blending social media features with educational elements. The company describes itself as a 'Spotify for learning materials' and aims to cover all aspects of everyday school life as a complement to regular classes. Knowunity reports more than 700,000 student users and is cited as one of the fastest-growing education apps in Germany. Its stated plans, supported by new investment, are to further develop the platform and accelerate growth.

Participated · Series A · Feb 2025

Latent Labs develops AI foundation models and generative tools to design proteins from scratch and optimize molecular features like affinity and stability. The platform is intended to let biotechnology and pharmaceutical partners computationally generate new therapeutic molecules such as antibodies and enzymes, accelerating discovery and improving success rates. The company emerged from stealth and says partners can leverage its models to unlock challenging targets and shorten drug development timelines. Latent Labs experimentally validates its AI platform in lab facilities and operates from offices in London and San Francisco. The team is led by founder and CEO Dr. Simon Kohl, a former DeepMind researcher who co-led DeepMind’s protein design efforts on AlphaFold2, and has attracted talent from DeepMind, Microsoft, Google, Stability AI, Exscientia, Mammoth Bio, Altos Labs and Zymergen. The company announced a $50M financing to accelerate progress and partnerships.

Participated · Equity · Sep 2024

Cowboy is a Brussels-based e-bike manufacturer best known for its digitally connected urban bicycles that integrate proprietary software, data-driven features and over-the-air updates. The company serves a community of more than 80,000 riders and maintains in-house design, engineering and software teams to iterate on its award-winning hardware-software platform. Following recent operational challenges, Cowboy is partnering with French mobility group ReBirth to leverage its industrial capacity, supply-chain reach and 95 Oxygen/10 Ovelo stores plus 500 independent dealers in France. Production will restart at ReBirth’s French assembly site with a plan to build over 1,500 bikes in January and significantly scale capacity through 2026. The integration is expected to shorten lead times, improve quality control and bolster after-sales support while keeping Cowboy’s brand and R&D independent. Financially, the company has restructured its balance sheet, converted legacy obligations to equity, and secured fresh funding to stabilise operations. These measures aim to restore delivery reliability, expand retail presence—especially in France, currently its fourth-largest market—and move the business toward sustainable profitability.

Participated · Equity · Oct 2023

Automata builds an operating system for laboratories, combining modular robotic hardware, orchestration software, and unified data infrastructure to let scientists program experiments rather than robots. Its platform aims to close the gap between AI-driven computational biology and the manual workflows still common in wet labs, delivering higher experimental throughput, reproducibility, and resource efficiency. The company already serves five top pharmaceutical companies through repeat deployments and large-scale automation projects. New product work is focused on data and closed-loop experimentation capabilities that enable self-serve, AI-driven drug discovery. Automata plans to use fresh capital to scale global customer deployments and expand engineering, product, and customer-success teams. Headquartered in London, the company positions itself as the reference architecture for autonomous, software-defined labs in pharma, biotech, and advanced research.