FOR AI x SCIENCE TEAMS

Parse scientific literature without losing its structure.

The future of science hinges on access to high-quality data. Our models are at the cutting edge and enable biotechs, materials science labs, and pharma R&D teams pushing the frontier.

TRUSTED BY
WHY DATALAB

Built by researchers, for the documents research runs on.

01 LAYOUT FIDELITY

The parse keeps the structure scientific extraction needs.

Tables stay intact, equation regions resolve correctly, and figure boundaries land at the right page coordinates.

02 BUILT BY RESEARCHERS

Edge cases are research problems, not support tickets.

When a document profile breaks the parse, our research team takes it back to the model and publishes the benchmarks.

03 AIR-GAPPED ON-PREM

For documents that can't leave the network.

The inference cluster runs inside your own network on the same model weights as the managed cloud.

DEPLOYMENT

Run it wherever your research data has to live.

  • Managed cloud

    Start with an API key — nothing to host or operate.

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  • EU data residency

    Run in-region, with no egress to US infrastructure.

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  • Your VPC

    Runs inside your own AWS, GCP, or Azure account.

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  • On-prem & air-gapped

    Fully offline, the same model weights, dedicated support.

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