For business development & licensing
Verify the evidence behind an asset before you bet on it.
In-licensing and M&A decisions rest on a handful of pivotal trials. Adcurare re-reads that evidence like a skeptical reviewer. It recomputes the statistics, tests every consequential claim against the data, and returns a Rigor Record ranking the findings that could change the deal.
Recognition
Built by a research team recognized for exactly this work: rigorous, reproducible science.
Alzheimer’s Insights AI Prize
Alzheimer’s Disease Data Initiative · $1M global agentic-AI competition
NIH Replication Prize
NIH Common Fund · For advancing reproducible science
The most expensive question in the deal is whether the evidence holds.
- A headline result rests on a few numbers. A shifting denominator, a P value that does not reconstruct, or an unadjusted secondary endpoint can move or unmake the investment thesis.
- The issues that matter are rarely on the surface. They live across the protocol, the SAP, the registry, and the supplement, not the abstract you were pitched.
- You do not want to find them after the term sheet. Diligence is exactly when an independent, rigorous read pays for itself.
More than a general AI assistant
A general AI assistant gives you an answer. Adcurare gives you a finding you can check.
- Every finding traces to its exact source passage, not a confident paraphrase.
- Reported statistics are recomputed and shown, so your team can check the math itself.
- Detection confidence and materiality are separated, never collapsed into one score.
- You get a versioned Rigor Record you can audit and share with the committee, not a disposable chat.
Where diligence-grade verification pays off.
Adcurare evaluates the full evidence base as a single system: publications, supplements, protocols, registries, and prior studies.
In-licensing & acquisition diligence
- Evaluate the evidence supporting a target asset
- Surface hidden assumptions and contradictory results
- Generate the follow-up diligence questions that matter
- Prioritize confirmatory work before you commit capital
- Produce a decision-ready evidence report for the committee
Data-room & claim verification
- Verify claims against the complete evidence base
- Recompute the pivotal-trial statistics and endpoints
- Reconcile the publication against protocol, SAP, and registry
- Flag overstatement, spin, and evidentiary gaps
Competitive & landscape evidence
- Assess a competitor’s evidence base on the same terms
- Compare competing claims across programs systematically
- Separate durable advantage from favorable framing
Portfolio & indication prioritization
- See where the decision risk concentrates across candidates
- Rank assets and indications by evidentiary strength
- Focus scarce diligence bandwidth where it pays off
From scattered documents to a verifiable report.
Adcurare connects and evaluates the full evidence base as a single system, then hands back findings a human can check.
Assemble the evidence
Publications, supplements, protocols, registries, analysis plans, regulatory documents, and relevant prior studies.
Extract consequential claims
Identify the claims that drive scientific, clinical, or commercial conclusions.
Cross-check and reconstruct
Compare documents, reproduce calculations, identify contradictions, and test whether claims are adequately supported.
Assess materiality
Separate typographical and reporting issues from findings that may change interpretation or decisions.
Produce a verifiable report
Every finding links to its source, supporting calculation, uncertainty, and recommended follow-up.
See exactly what a Rigor Record hands back.
One finding from a sample Rigor Record: the source claim, the passage it rests on, the recomputed calculation, its confidence and materiality, and the follow-up question for the data room. Not a verdict, but a lead your team can verify.
Intention-to-treat denominator is inconsistent across documents
Source claim
The intention-to-treat population comprised 812 randomized participants.
“…the intention-to-treat population comprised 812 randomized participants (406 per arm)…”
Results, paragraph 1; Abstract
Detected inconsistency
The abstract and Results state 812 (406 per arm), but the CONSORT diagram sums to 806 (404 + 402) and Table 1 reports 806 at baseline. The 6-participant discrepancy is not reconciled anywhere in the manuscript or appendix.
Abstract/Results: 406 + 406 = 812 CONSORT: 404 + 402 = 806 Table 1 baseline total: 806 Δ = 6 participants (unreconciled)
Recommended follow-up
Which count is correct for the ITT population, and where are the 6 participants accounted for?
This is a clearly-labeled synthetic composite. On a real engagement, every material finding is routed to independent human review before it reaches your team.
A Rigor Record your committee can act on.
- Findings organized by materiality: what could change the deal, first
- Each finding: source passage, recomputed calculation, confidence, and follow-up
- Protocol / SAP / registry-to-publication concordance
- The consequential claims, tested against the evidence presented
- Recommended diligence questions for the data room
- A versioned audit trail you can share with the committee
In a private pilot
- Scope
- One real in-licensing or diligence decision, agreed up front.
- Turnaround
- Typically about two weeks from data access to readout.
- Success metrics
- Set with your team so you evaluate results against a bar you set.
What BD teams ask first.
Do you need our confidential data room to start?
No. Most BD pilots run on the asset’s pivotal evidence: the key publications, supplements, protocols, registries, and analysis plans. Anything confidential is exchanged only under an NDA and DPA, over a secure channel.
Is a Rigor Record a verdict on the asset?
No. Adcurare produces candidate findings, each with a detection confidence and a materiality and each traced to its source. Consequential findings are routed to independent human review. It sharpens your diligence. It does not replace your committee’s judgment.
How is this different from having an analyst read the papers?
Coverage and speed. Adcurare reads the full evidence base as one system, recomputes the reported statistics, and cross-checks documents in hours, so your experts spend their time on the findings that move the decision, not the first read.
What do you need to run a pilot?
One real decision and the relevant documents. We agree scope, data requirements, deliverables, and success metrics up front, typically about two weeks from data access to readout.
Can we share the Rigor Record internally?
Yes. Each Record is versioned and shareable by its own link, with the underlying evidence trail retained so any colleague can check a finding for themselves.
Put it on a live in-licensing decision.
See Adcurare on an active diligence problem: the pivotal trials behind an asset, a data room, or a competing evidence base. Start with a demo; we scope a private pilot to your use case.