2026
HypotheX produces the documented, FDA-traceable answer: the warrant chain behind a high-stakes R&D decision, written to hold up under audit.
When an AI tool points you to a target, a dose, or a claim, the model is confident and the clock is running. The decision that follows can carry $50M to $500M. The question that follows it is simpler and harder: how do you know the call was sound at the time you made it.
We write that record. We do not predict outcomes. We do not attribute intent. We make decisions defensible, or we show you, precisely, where they are not.
We document the warrant behind a target or mechanism call before you commit the budget that rests on it.
We build the traceable record at the moment of the decision, so the answer is on file before the reviewer asks.
We document the grounding behind an AI-derived invention before you file, so it holds when the challenge comes.
Engagements start at $25K. A Pilot Validation Phase covers one decision at fixed scope. Full engagements scale by decision count and stakes.
When a reviewer asks how an AI-derived claim was reached, "the model suggested it" won't hold. Reconstructing the rationale after the fact burns weeks of senior time and still reads as defensive. We assemble the traceable record while the decision is being made.
Request a scoping callA high-stakes advancement runs $50M to $500M. The audit that documents whether it's defensible starts at $25K. The asymmetry is the point.
Months later, recovering why an AI-derived call was made burns weeks of senior time and still reads as defensive. We write the record at the moment of the decision.
An AI-derived invention is only as strong as the warrant you can show. We document the chain before you file, so it holds when the challenge comes.
If the warrant is weak and undocumented, you find out after the readout, when the budget is gone. We surface it before you commit.
You bring a single high-stakes call and the claim it rests on. We work on it as it stood when it was made.
We sort what grounds the claim from what only repeats the model's own conclusion. A confident answer isn't evidence.
We mark the line: where the warrant holds, where it thins, and where a gap is knowable right now.
You get a warrant chain document: a band, an action, and the evidence trail, written for a reviewer to read.
Method grounded in the published framework of Romanchuk and Bondar (2026). We never use a later outcome to grade an earlier decision, and we disclose how every assessment was produced. Read our independence policy.
Where the warrant held and where it thinned, documented from the evidence available at the time of the deal.
Two decisions in the same class, separated on target-engagement strength known before either readout.
What a grounding check surfaces when the published evidence behind a decision later comes apart.
Six cases in full, including sealed prospective assessments made before the readout.
Before a budget commits to a target an AI tool helped select.
When an AI-derived claim has to survive a reviewer's question.
The fastest path to start, one decision at fixed scope.
When an AI-derived invention has to hold under challenge.
HypotheX is founder-led and works to a published method and a published independence policy. We work for the integrity of the evidence, not for a predetermined conclusion. That independence is what makes the documentation hold.
We do not build the model, own the asset, or get paid more if the assessment lands favorably. The unfavorable finding is the one you paid us to catch.
Tell us the decision you want validated. Thirty minutes, no obligation.
Or email founder@hypothex.ai.