Omic
Enterprise

When software is free,
your knowledge is the moat.

Every competitor will have the same models, the same compute and the same literature. What they will not have is every test your teams have run, every result that did not work, and every decision and why it was made.

The cost of leaving it latent

The asset is already paid for. It sits in notebooks, instruments, drives and threads, and the work of re-deriving it is a salary line your organization pays every year.

What leaving it latent costs you

Not a software cost. A salary cost, paid every year, in the most expensive headcount you have. Move the sliders to your own numbers.

Annual cost of re-derivation$5,865,00069,000 engineer-hours a year, spent arriving twice at the same conclusion
Recoverable at your assumption$4,105,500
Residual after compounding$1,759,500

Every figure above is your input, not our claim. We measure your real repeat rate from your logs before anyone signs anything.

An answer you can’t audit isn’t an answer

Reuse only pays if the reused answer is right. We benchmarked our claim layer against standard retrieval on 150 contested biomedical questions, counting how often a cited record says nothing about the question asked. Each method cites a different number of records, so the rate is per 1,000 citations.

Citations that miss, per 1,000 cited records lower is better
  • Omic claim layer0per 1,000from 0 of 1,148 citations
  • Standard retrieval7.7per 1,000from 32 of 4,156 citations
  • Reading the whole corpus117.3per 1,000from 323 of 2,754 citations
  • Sources behind a contested answer7.5claim layer2.6vector index
  • Minority position recalled0.99of contested pairs

150 opposed-predication pairs over SemMedDB, median pool 2,960 statements. Preliminary, and we publish where it loses: on a separate 50-paper fixture a vector index retrieves more raw figures, faster and cheaper.Read the report ↗

Your IP should not be someone else’s training data

Whatever the policy says, unpublished methods and test results are going into consumer chatbots today. The risk is not that people use AI. It is that nobody can say what left the building.

Ungoverned today

  • Proprietary data pasted into personal accounts
  • No record of what was asked or disclosed
  • Consumer terms that may permit training on your input
  • Departing staff take the working context with them
  • Nothing to hand an auditor or a partner's diligence team

Governed deployment

  • Your tenancy, and inputs never train a shared model
  • Every query and answer logged and attributable
  • Access inherits the identity and permissions you already run
  • Knowledge accrues to the organization, not the individual
  • An evidence trail that survives audit and diligence

What we can tell your security team

  • Where data lives

    Your cloud or ours. You choose.

  • Training

    Never on your data. Any plan.

  • Access

    SSO and SAML on enterprise.

  • Provenance

    Every claim carries who asserted it, when, and whether it still stands.

  • Open source

    AttestDB, the store under the fabric, is public. Read it before you buy.

Need a specific control for your review? Ask and we will answer it straight.

You own the agent code

We build alongside your teams and you keep everything underneath. No black box, and no renegotiating later for access to something you already paid to build. End the engagement and the capability stays, and keeps running.

Typical AI vendorWith Omic
Agent source codeVendor-hosted, licensedYours, in your repo
Prompts, tools and evalsProprietaryYours
Connectors to your systemsRe-bought each renewalYours
Accumulated knowledge baseRaw text export, at bestYours, exportable
If the contract endsIt stopsIt keeps running

How an engagement starts

Thirty minutes, your documents, your questions, and the measured repeat rate from your own logs, whether or not it makes the case for buying.

Proof

Before the form: what we have published, including the parts that did not work.

All research ↗

Tell us about your research.

Schedule a conversation ↗

See how we handle contact information in our privacy policy.

Licensing a therapeutic asset?

A separate conversation.

Therapeutic programs ↗