Redpine, the Stockholm‑born AI data infrastructure firm, closed a €6.8 million financing round on Tuesday, pushing its total raised capital to €9 million. The round was anchored by NordicNinja, with participation from Luminar Ventures, node.vc and a slate of technology founders and operators. Among the backers are notable figures from OpenAI, Perplexity, Spotify and other AI‑focused ventures, underscoring the market’s appetite for a new approach to training data.

Founded in 2024 by Anders Hammarbäck, a former McKinsey consultant and Antler alumnus, and David Österdahl, who previously worked at Spotify and iZettle, Redpine aims to solve what its creators describe as the “piracy problem” that plagued the music industry before streaming services arrived. Most AI systems today rely on scraped internet content—data that is legally fragile, uneven in quality, and offers little differentiation for developers. Redpine’s platform, by contrast, supplies AI agents with premium, licensed datasets through a headless API that charges on a token‑based usage model.

The API operates in real time: an AI agent sends a query, receives vetted data, and pays only for the tokens consumed. This model scales with usage rather than imposing a flat subscription fee, and it filters out outdated or unreliable material before it reaches the agent. Redpine focuses on mission‑critical domains—healthcare, legal, finance, scientific research and news—where inaccurate data can cascade into costly errors.

Redpine’s investors reflect that domain focus. The €1.1 million seed round attracted angels such as Colin M. Evans of OpenAI, Gustav Lindqvist of Perplexity, and Anna Nordell Westling from Sana, as well as Daniel Langkilde, founder of Kognic, and several Spotify alumni. New entrant Peter Sarlin, co‑founder and former CEO of Silo AI (acquired by AMD for $665 million in 2024), also joined the round.

With the fresh capital, Redpine plans to broaden its international footprint and deepen its network of exclusive data partnerships. The company already offers access to more than 100 billion tokens of premium licensed data. Its competitors—Scale AI, Appen and Defined.ai—are built around human‑annotation workflows and static datasets. Redpine positions itself as an API‑native, agent‑first alternative, delivering licensed data on demand.

Legal pressure on unlicensed training data is mounting. Anthropic recently settled a $1.5 billion copyright case involving books, and new EU disclosure rules are tightening the regulatory environment. Redpine’s founders argue that a licensed‑data model not only mitigates legal risk but also creates revenue streams for rights holders, echoing how Spotify reshaped music licensing.

Looking ahead, Redpine’s leadership envisions the startup becoming the global category leader in AI data infrastructure within three to five years. The addressable market for AI training data, they claim, is expanding at a 24.9 percent annual rate within the broader trillion‑dollar AI sector. Whether the company can outpace well‑capitalized U.S. incumbents will hinge on how quickly enterprises and AI labs adopt API‑native data infrastructure and whether content owners are willing to distribute through a platform rather than negotiate direct deals.

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