Six decisions, made with the evidence in hand.
Each of these started with a high-stakes question a strong team could not finish on its own: a large opportunity space, evidence scattered across disciplines, and a decision waiting at the end of it.
Every number below comes from the engagement itself, and we name the team wherever they let us.
SharkTooth Bio, asset strategy
Repurposing off-patent compounds for CMT1A
Urchin integrated SharkTooth's proprietary RNA-seq data from CMT1A mouse models with a broad array of public evidence, and surfaced a drug class their scientific advisors had not originally prioritized.
Read the studyVrata Therapeutics, biological strategy
Four hypotheses for an unexplained delivery mechanism
Rather than narrowing to a single explanation, Urchin explored the space of mechanistic possibilities and returned four hypotheses, each with a rationale and suggested experiments. Reagents were ordered within a week.
Read the studyJonathan Thon, translational strategy
A regulatory and clinical roadmap for a first-in-class program
Regulatory precedent, potency assay strategy and Phase 1-3 design, connected into a single evidence-based framework the advisor could share directly with the board and with KOLs.
Read the studyA gene editing company, indication selection
Which indications best fit a new therapeutic modality
A team that had spent years on the opportunity space wanted to know what was still hiding outside it. Several of the highest-priority results were candidates the scientific lead said he would not have identified independently.
Read the studyAbsco Therapeutics, translational strategy
Parameterizing a PBPK model for a novel route of administration
Urchin synthesized evidence scattered across pharmacology, anatomy, physiology and comparative biology into biologically grounded estimates. It clarified which preclinical species were viable translational models, and resolved a mechanistic question that would otherwise have needed an experiment.
Read the studyProbably Genetic, portfolio strategy
Scale or depth: how to grow a genomic data asset
Urchin mapped where biological value comes from cohort scale versus per-patient depth, connected that to partner demand and market comparables, and turned an open-ended strategic debate into a concrete, depth-first investment decision.
Read the studyMore on the system behind them: how Urchin works.