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Service 13

Scientific research LLMs

We build research systems for labs and R&D teams: a durable map of the topics you work on, source-backed reading across the literature, notes tied to real experiments, and cross-links that surface where two unrelated lines of work are pointing at the same mechanism.

The failure mode

The literature outgrew the people reading it. Findings sit in a PDF nobody revisits, a notebook nobody searches, and a preprint in an adjacent field nobody saw. Connections between them get made by accident, late, or not at all.

How Okita works it

We build a corpus and a topic map instead of a chat window. Agents read, extract claims with citations, log methods and results, and keep the map current as new work lands. Then we ask the map the questions a person cannot hold in their head at once: which findings share a mechanism, which contradict each other, and which predict the same thing from different directions. The model proposes the link and shows its sources. The researcher decides whether it is worth an experiment.

What you leave with

  • A durable topic map across your papers, notebooks, and experiment logs
  • Source-backed literature review with claims traced to the paragraph
  • Cross-domain link surfacing between results that never cited each other
  • Hypothesis and experiment candidates a researcher can accept or reject
  • Local models for unpublished results and proprietary data

Where the system stops

The system proposes; the researcher tests. Every suggested connection arrives with its sources so a claim can be checked before it becomes an experiment.