The parse keeps the structure scientific extraction needs.
Tables stay intact, equation regions resolve correctly, and figure boundaries land at the right page coordinates.
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.








Read study →"We were quite blown away by the quality of extraction, especially on the type of complex academic papers that we were passing in."
Multi-column, equation-dense, mixed reading order
Try in playground →D · 02 Scientific figuresXRD, SEM, microscopy — extracted as discrete assets, bound to captions
Try in playground →D · 03 PatentsClaims, drawings, family metadata
Try in playground →D · 04 Lab notebooksHandwriting, sketches, mixed formats
Try in playground →D · 05 Clinical & regulatoryProtocols, dense result tables, 510(k) and IND filings
Try in playground →D · 06 Internal researchParsed on-prem when documents can't leave the network
Try in playground →Tables stay intact, equation regions resolve correctly, and figure boundaries land at the right page coordinates.
When a document profile breaks the parse, our research team takes it back to the model and publishes the benchmarks.
The inference cluster runs inside your own network on the same model weights as the managed cloud.
Start with an API key — nothing to host or operate.
Sign up →Run in-region, with no egress to US infrastructure.
Sign up →Runs inside your own AWS, GCP, or Azure account.
Talk to sales →Fully offline, the same model weights, dedicated support.
Talk to sales →Free tier with up to $20 in credits per month — no card required.