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Redpine raises €6.8M for licensed AI agent data API

Originally published on: April 28, 2026
▼ Summary

– Redpine, a Stockholm-based AI data infrastructure startup, raised €6.8 million in new funding, bringing its total to €9 million, with backing from investors linked to OpenAI, Perplexity, and Spotify.
– The platform operates as a headless API, allowing AI agents to query and pay for premium licensed datasets in real time using a token-based model.
– Redpine compares its approach to Spotify’s model for music, aiming to make licensed data access easier than using scraped internet data, which faces increasing legal and regulatory pressure.
– The company will use the funding to expand internationally and grow its network of exclusive data partnerships, focusing on mission-critical domains like healthcare, legal, and finance.
– Competitors like Scale AI and Appen are annotation-first services, while Redpine positions itself as an API-native, agent-first alternative for real-time licensed data.

Redpine, a Stockholm-based startup building infrastructure for licensed AI training data, has secured €6.8 million in a seed round led by NordicNinja, with participation from Luminar Ventures and node.vc. A group of technology founders and operators also joined the investment. This new funding brings the company’s total capital raised to €9 million.

The company plans to use the proceeds to fuel international expansion and deepen its network of exclusive data partnerships.

Founded in 2024 by Anders Hammarbäck (formerly of McKinsey and Antler) and David Österdahl (ex-Spotify and iZettle), with Leonora Vesterbacka (PhD, CERN; AI R&D at KBLab) as the founding data scientist, Redpine is tackling what it sees as a fundamental flaw in the AI industry. The founders argue that the current reliance on scraped internet data mirrors the music industry’s piracy problem before Spotify. This approach, they contend, is legally fragile, offers no competitive differentiation, and fails to compensate content creators.

Legal pressure is mounting. Anthropic recently settled a $1.5 billion copyright case over book data, and new EU disclosure rules are tightening the regulatory screws. Redpine’s solution is a headless API platform that allows AI agents to query, retrieve, and pay for premium licensed datasets in real time. Instead of a flat subscription, costs scale with consumption through a token-based usage model.

The platform evaluates data quality on the fly, filtering out outdated or unreliable material before it reaches an agent. Redpine’s focus is on high-stakes domains where inaccurate data can cause compounding errors in multi-step workflows: healthcare, legal, financial markets, scientific research, and news.

The company’s €1.1 million seed round attracted a notable roster of angel investors, including Colin M. Evans (OpenAI), Gustav Lindqvist (Perplexity), Anna Nordell Westling (Sana), Daniel Langkilde (founder of Kognic, sold to Volvo), and several Spotify alumni. New investor Peter Sarlin is the co-founder and former CEO of Silo AI, the Finnish lab acquired by AMD for $665 million in 2024.

Redpine’s stated goal is to become the global category leader in AI data infrastructure within three to five years. It targets the AI training data segment, which it cites as growing at 24.9% annually within the trillion-dollar AI market. The platform already offers access to over 100 billion tokens of premium licensed data.

Competitors like Scale AI, Appen, and Defined.ai are primarily annotation-first services built around human labeling workflows. Redpine positions itself as an API-native, agent-first alternative, delivering licensed data in real time rather than static datasets from human annotation.

Whether a Stockholm startup can win the data licensing market against well-capitalized US incumbents depends on how quickly enterprises and AI labs adopt API-native data infrastructure, and whether rights holders choose to distribute through a platform rather than negotiating direct deals. The coming years will test that proposition.

(Source: The Next Web)

Topics

ai data infrastructure 98% funding and investment 95% licensed data market 93% music industry analogy 91% legal and regulatory pressure 89% token-based pricing model 87% data quality filtering 85% domain specificity 83% competitive landscape 81% international expansion 79%