
Search full text, not just the abstract. 200B+ tokens of licensed peer-reviewed research, straight into your AI workflows.


Your agent quotes the full article, methods and tables included, instead of paraphrasing an abstract. Every claim can be traced back to its source.
> What is the current evidence on SGLT2 inhibitors for heart failure with preserved ejection fraction?
Access frontier research from leading institutions. Retrieval over full text and tables from closed and open content.
Better answers for when it matters. Every passage carries its article identifier.
Rights are settled before you query. Rights holders are compensated for their knowledge.
No annual subscription or minimum to start. Set up in a minute and only pay for the value you retrieve.
Agents, copilots, vertical products, and frontier models. One line of code to connect.
Redpine is for AI agents and speaks MCP, so Claude, Cursor, ChatGPT, and any other MCP client connect with no code. If you’re building your own application, the same search is available through the API and SDK.
Paste the setup prompt into your agent, or run one command.
Ask in plain language, right from the tools you already use.
Cited answers from trusted sources.
Full-text search across leading journals by your agent. Not just abstracts.

Recurring revenue and full control for publishers, research institutions and societies. Because the people who create knowledge should be fairly compensated.
Redpine is a data platform for agentic AI. In other words, a grounding API for non-public data. We source premium data from content partners worldwide and make them accessible to AI builders and AI agents in a compliant, structured way. Where the open web plateaus, Redpine begins.
We do not scrape. We partner. Redpine builds direct licensing relationships with content owners, creating mutual incentives for high-quality data to flow into AI systems. We also go a step further: we are building an access layer specifically for AI agents, via API, MCP, and CLI. That is not something a data broker does.
Scientific and journal text from leading publishers. Real-time signal data. Non-public image libraries. Video assets for world models. Private code repositories. The common thread: data that does not exist in any public crawl, from sources who chose to work with us directly.
By going to the source. Redpine signs licensing agreements directly with content owners before any data moves. No assumptions, no gray zones. Contracts first, access second.
AI builders who understand that data quality is the primary moat in AI. They come to Redpine to skip the legal complexity, sourcing effort, and infrastructure work of assembling premium datasets themselves. The result: faster access to better data, at a lower total cost.
Organizations sitting on valuable, undermonetized data. The research firm with high-value proprietary studies. The software company with a sunsetted product and years of code. The video production house with petabytes of unused footage. For all of them, Redpine creates a new revenue stream from assets they already own.
Carefully. AI systems in healthcare, finance, and law only work if the underlying data is traceable and trustworthy. Redpine maintains clear source attribution at every step. Beyond compliance, this matters for the content creators themselves: proper attribution and compensation is what keeps quality data being created in the first place. We think that incentive structure is worth protecting.
Two things. Legally ready: licensing agreements signed, provenance documented, compliance verified. Technically ready: low-latency storage, accessible formats, vectorization, and structured metadata so AI systems and agents can consume the data without preprocessing overhead.
AI builders pay per use for data access. We set up a revenue share model with content partners. The model is designed so that better data and fairer compensation reinforce each other. When the content side wins, the AI side gets better inputs.
Redpine provides data access via API, MCP, and CLI for agentic AI use cases. For AI training, we also offer bespoke arrangements. Reach out to get started.
Redpine is headquartered in Stockholm, Sweden, founded in 2024. We work with content partners and clients across all continents. The company was founded by Anders Hammarbäck (CEO, ex-McKinsey and VC) and David Österdahl (CPTO, ex-Spotify, Zettle, and Lunar).
The red pine is one of the most elegant trees in Nordic forests. It also grows across North America and Asia. Its longevity comes from deep roots. The AI ecosystem will thrive only if we nurture the roots properly: by compensating content and data owners. The name Redpine felt right.
See what a cited answer looks like for your own question