Clinical trial feasibility, decided on evidence

Know if the trial is worth running — before you commit.

Upload the protocol, or just name the molecule and indication. In hours you get a six-pillar feasibility assessment and a go/no-go verdict — every number traced to the public record it came from. Built for biotechs, CROs, and the investors who back them.

30+ analyses across six pillarsEvery number cited to its public sourceNever trains a model on your data

Built on public data sources

Public, re-verifiable sources — click any number to check it yourself. Your protocol is never used to train a model.

These 7 backbone registries are part of ~50 live connectors feeding the engine.

Live public-data connectors
~50
Assessment pillars
6
Analyses per study
30+
Expert role workspaces
7
E-signed, hash-chained audit trail
Part 11

Who it's for

One question, asked from four sides of the table.

Whether you're running the trial, bidding on it, or backing it — the decision is the same: is this study worth the money? The evidence should be too.

Biotech & sponsors

Pressure-test your own asset before an irreversible bet. Design, patients, sites, cost, and commercial upside — one assessment your board can interrogate line by line.

CROs

Put a cited feasibility verdict in the bid, white-labelled under your brand — and when the sponsor challenges a number, point to its public source.

Venture & private equity

Diligence a lead asset in hours, from public data alone: probability of success, why comparable trials failed, patent runway, and a risk-adjusted valuation.

Public-market analysts

Read a sponsor’s trial the way an operator would — enrollment reality against competing trials, adverse-event signals, and delay signals from SEC filings and earnings calls.

The problem

A multi-million-dollar go/no-go shouldn't rest on a report you can't audit.

If you run a CRO bid team, you know the math: a feasibility cycle you pay for in weeks and in budget is fine when you win the bid and unsustainable when you lose it — and a sponsor can still pick the number apart. The same is true for a biotech making an irreversible bet, and for an investor deciding whether to back one. Today that evidence arrives slow, opaque, and impossible to check.

Speed

A questionnaire-and-analyst feasibility cycle is too slow for a go/no-go decision that keeps moving. By the time the report lands, the window has narrowed.

Defensibility

When your board, an investment committee, or the FDA asks where a number came from, "the model said so" is not an answer. You need a verdict anyone can trace back to a public source.

Cost

Bespoke feasibility consulting is billed per protocol — before you have even decided whether the trial is worth running.

How it works

Study in. Cited verdict out. In hours.

Three steps, and no questionnaire to circulate: describe the study, the engine gathers the public evidence, you read an assessment you can check.

Describe the study

Upload the protocol, or start from just the molecule (or drug class) and the indication — enough for a full public-data assessment even before a protocol exists. Your documents are processed privately in the EU and never train a model.

The engine gathers the evidence

Around 50 live public sources are pulled for your study: ClinicalTrials.gov and national trial registries worldwide, PubMed, FDA and EMA precedent, pharmacology databases, patents, pricing, and SEC filings — each record pinned to the exact snapshot it was read from.

You get an assessment, not a guess

Six pillars, 30+ analyses, and a go/no-go verdict — every number cited to its source. Expert-role workspaces then draft the memos and plans your decision needs, and your team signs off with a Part 11 electronic signature.

The assessment

Six pillars. One defensible answer.

Every study gets the same structured work-up — more than 30 analyses across six pillars, each one cited to the public records it was built from.

Rationale

Should this drug work?

The scientific case for the asset, checked against public target and pharmacology evidence.

  • Target validation
  • Binding affinity
  • Off-target & interaction risk
  • Structural viability
Explore Rationale

Design

Is the trial designed to win?

Your design against the indication norm — and against every comparable trial that failed or succeeded before you.

  • Competitive landscape
  • Why comparable trials failed
  • Design vs. indication norm
  • Statistical power
  • Regulatory-precedent timeline
  • Protocol-amendment risk
Explore Design

Cohort

Can you find the patients?

How many eligible patients actually exist, and how much your eligibility criteria shrink the pool.

  • Cohort sizing
  • Eligibility complexity
  • Real-world cohort
Explore Cohort

Where & How

Where do you run it — and at what cost?

Sites and investigators on a map, ranked by track record and competition, with an honest budget band.

  • Study sites & contacts map
  • Site & investigator selection
  • Site density vs. competition
  • Geographic prioritisation
  • Cost feasibility
  • Operational benchmarks
Explore Where & How

Commercial

Is it worth it if it works?

The commercial case behind the clinical one — market, price, standard of care, and patent runway.

  • Market sizing (TAM / SAM / SOM)
  • Risk-adjusted valuation (eNPV)
  • Value-based price
  • Standard of care
  • Patent landscape & exclusivity
Explore Commercial

Verdict

Go, or no-go?

Everything above rolled into one recommendation — with the risks that could still change it.

  • Go / No-Go recommendation
  • Probability of success
  • Operational-risk dashboard
  • Adverse-event signal
  • Sponsor delay signals (SEC filings)
  • Verdict interpretation
Explore Verdict

Expert roles

The assessment is the start. The deliverables are the point.

Seven expert workspaces turn the assessment into the documents your decision actually needs — a Go/No-Go memo, a protocol synopsis, a statistical analysis plan, a dose-selection memo, valuation scenarios. Drafted with citations; reviewed and signed by your team.

Why trust the number

The opposite of a black box.

A feasibility verdict is only useful if you can defend it — to your board, a sponsor, an investment committee, or the FDA. So every claim can be checked, and every decision made on it is governed.

Every number, cited

  • Every figure links to the public record it came from — click it and check
  • Evidence is graded honestly, from single-source up to triangulated
  • Uncertain numbers say so — no false confidence, ever
  • Built on public data anyone can re-verify, not a proprietary black box

Every decision, governed

  • Go/no-go decisions signed with 21 CFR Part 11 electronic signatures
  • If the evidence changes, signed decisions are flagged for re-review
  • Full version history — watch the verdict evolve as new data arrives
  • Your protocols and documents stay yours, never used to train a model

How it compares

Faster than a CRO. Defensible unlike a chatbot.

A feasibility verdict that's quick to get and impossible to wave away.

A CRO feasibility questionnaire, a black-box AI tool, and Clinical Trial OS compared across turnaround, traceability, uncertainty, audit trail, data use, and cost.
CapabilityCRO questionnaireBlack-box AIClinical Trial OS
TurnaroundWeeksMinutesHours
Every number traced to a public sourcePartialNoYes
Honest about uncertainty (evidence grades)PartialNoYes
Audit trail & e-signature sign-off (Part 11)NoNoYes
Your protocol never trains a modelYesNoYes
Cost per studyQuoted per protocolLowFlat per-study

Founding cohort

Onboarding a small founding cohort of design partners.

We are taking on a handful of biotech, CRO, and investment teams to run real feasibility work with us — before we scale. If that is you, the door is open.

Run your real protocols

Bring live feasibility questions, not toy examples — every verdict is cited back to public data you can check.

Shape the roadmap

Tell us where a verdict is wrong. Founding-cohort feedback sets what we build next and earns preferential pricing.

Named only with consent

We will never show your logo or name until you have explicitly agreed to be a public reference.

Pricing

Per-protocol or annual. No per-seat.

Pay per feasibility run, or go annual for high-volume (fair-use) protocols across your team.

FAQ

Questions, answered honestly.

You describe a study — a protocol PDF, or just a molecule (or drug class) and an indication. In hours you get a structured feasibility assessment: more than 30 analyses across six pillars (scientific rationale, trial design, patient cohort, sites & cost, commercial case, and a go/no-go verdict), where every number is cited to its public source. Expert-role workspaces then draft the deliverables a decision needs — a Go/No-Go memo, a protocol synopsis, a statistical analysis plan, valuation scenarios.

See a verdict you can actually check.

Send us a protocol — or just a molecule and an indication. We'll return a fully cited feasibility assessment you can trace, line by line, back to public data — yours to defend in a bid, take to your board or investment committee, or hand to a regulator.