Platform

Your organization’s
knowledge is its
most valuable asset.

We make it AI-ready at scale, then run R&D on top of it without your science leaving your control.

DiscoverClaudeChatGPT
policy
agents
DiscoveryChemistryBiologyTranslationalClinical
one recordevery claim, its source, what contradicts it
DriveSlackGitLabS3ELNInstruments
Your systems feed one record. Agents reason over it. Policy decides what leaves.
The problem

Two teams derive the same result a year apart and neither ever knows. The work was done, paid for and recorded, and it still had to happen twice.

Built from the record up

Layer 01 · the foundation

A record that holds claims, not documents

Every assertion is its own row, carrying who made it, when, what it rests on and whether it still stands. Two sources agreeing is a count. Two sources disagreeing is a record, not an average. Retract a source and what depended on it is visible.

ProofThe Attest report ↗AttestDB is open source ↗

0 of 1,148 citations pointed at a record outside the question asked. Standard retrieval missed 32 of 4,156.

One claim
  • assertedsilencing stops the tears
  • contestedflavour never panel-tested
  • extendedthree food-safe compounds
Each row keeps its source. Nothing is merged away.
Layer 02 · the boundary

Your teams keep the tools. Your IP stays inside

People are already pasting unpublished methods into consumer chatbots, because that is where the useful tool is. Policy sits at the record, not at the person: an agent can rank a hypothesis on a restricted assay result without that result ever reaching the model or the reader.

StatusIngress control is live. Reasoning and egress policy are on the roadmap.

InsideYour science
OutsideOmic DiscoverClaudeChatGPT
Answers cross. The claims behind them do not.
Layer 03 · orchestration

Agents work the whole of R&D, on one state

Discovery through clinical, every stage reading the same record and writing its result back to it. Because they share a state rather than a chat history, a conclusion found in one program is available to the next question asked in another.

ProofTwo published runs, and the third path neither set out to find ↗

An Omic run with its stages marked complete, literature through synthesis, beside the 25 ranked references it kept and the passage one claim rests on.
One investigation, stages complete, with the sources it kept. Open full size ↗
Layer 04 · where people work

It arrives in the tool already open

Omic Discover for the full investigation, and the same fabric over MCP inside Claude and ChatGPT. Nobody is asked to move, so knowledge accrues as a byproduct of the work rather than as a second job.

ProofSeven papers, a patent and 16 candidates from one archive ↗

Where you work

Ask where you already work.
Answer from everything you know.

Omic app · Food science / onion LFSInvestigation started
You

Can we stop onion tears without touching the onion?

Walkthrough of a published run · read it in full

The seven papers

Six are published in full below. The seventh is under double-blind review, and the patent will be shown once filed.

All research ↗