About
Medical evidence moves faster than the institutions that rely on it.
NextConsensus is building the first system of record for the changing supportability of evidence-backed medical claims. The first product helps teams identify which approved claims deserve re-review as evidence changes.
This page is for:
- Investors — thesis, milestones, data asset, long-term vision
- Candidates — talent tracks, hard problems, principles, what we're not building
- Buyers — problem, first product, validation, pilot scope
The problem
Approved claims circulate across field materials, payer decks, clinical pathways, and compliance records. Between review cycles, new studies, label updates, guideline shifts, and safety signals change what the evidence supports. Teams lose track of which relied-on claims are still current.
The result: stale claims persist, overbroad wording survives longer than it should, and qualified reviewers spend time searching instead of deciding.
The first product
Claim maintenance. Send the approved claims your team already uses. NC maps the source record, compares new evidence movement against the prior record, and returns a ranked re-review list with claim-specific assessments. Each assessment traces what changed, which claim it affects, and why.
NC owns evidence-impact assessment and re-review recommendation. The customer owns final disposition and action.
The thesis
The monitoring wedge is the data acquisition mechanism. Every assessment produces a labeled record of what changed, how institutions responded, and what the evidence supported at that point in time. The dataset of how institutions respond when evidence moves is the asset.
The model it enables is the company. Manage for labeled transitions per month, not ARR.
- 1 Monitoring wedge
Identify when changing evidence affects approved claims. Produce source-traced assessments for qualified review.
- 2 Reliance memory
Record how institutions respond when evidence moves. Build the dataset of claim-state transitions across the industry.
- 3 Reference layer
Become the system of record for the changing supportability of evidence-backed claims institutions rely on.
How Refract fits
Refract is the open-source deterministic claim-history engine. It provides the observation pipeline, temporal snapshotting, and claim-provenance primitives that NC builds on.
NC is the commercial product built on top of Refract. It adds the assessment layer, the re-review recommendation engine, the operator workbench, and the source-traced assessment format that life sciences teams need. Refract is the toolkit. NC is the product.
For embedding Refract in your product or co-selling the NC pilot, see our partner program.
Where this is going
Every approved claim carries a prior evidence judgment. When evidence moves, the judgment should be revisited. NC makes that revisitation systematic, source-traced, and scalable across a portfolio of claims.
The long-term goal is a reference layer for claim supportability — the way Bloomberg is a reference layer for financial data, but for the changing evidence behind medical claims institutions rely on.
Check claims your team already uses.
No charge, no commitment. We confirm whether a ranked re-review list is measurable.