A scientist asks whether to take a compound forward. Your company half-answered that in 2022. The notebook exists. The thread exists. None of it reaches them, or the AI they ask. Omic changes what the AI starts from.
Follow the question
01
The question reaches everything you know
Before any model answers, the fabric pulls what your organization already has: the 2022 notebook, the tox note, the Slack thread where someone said “we never repeated that run.” Plus the literature. That is the capture layer, and it is always on.
02
The evidence is connected, not piled
Each claim arrives linked to what supports it, what conflicts with it, and what was never followed up. The buried negative result is visible because the gap around it is visible. This is AttestDB, and it is open source.
03
The AI scientist works from there
Now it investigates: reads the sources side by side, runs the analysis your team never got to, proposes the experiment that would settle it, and, in enterprise fabrics, scores the candidate with your own models.
04
The answer goes back in
The memo, the new result and the reasoning are written to the fabric with their evidence. The scientist who asks a related question next quarter, on another team, starts from here.
Omic Discover · the investigation on the left, the primary source it rests on opened alongside
What comes back
The same four things, every time.
Omic Discover · the proposed experiment, with the result that would change the conclusion
01
A sourced answer
Not a paragraph. A conclusion with its sources, its conflicts and its confidence, each one click from the passage it rests on.
02
A runnable analysis
Code, notebooks and figures you can open and rerun. Inputs and outputs stay attached to the conclusion.
03
The next experiment
A hypothesis, the alternatives, and the result that would change your mind, written as pass and fail criteria.
04
A record for the next person
Everything above, filed where the next investigation will find it.
Where the question was asked
It doesn’t matter. The scientist in the story asked in Claude, with Omic connected as an MCP server, and saw the claims rendered inline. A colleague asked the follow-up in Discover, the full Omic workspace. A third used ChatGPT. One fabric, three doors.
Why the answer was different
Not a better model. The same model, starting from everything the organization knew instead of a blank prompt. That is the whole idea, and the walkthrough on the homepage shows it happening.
