Drug Discovery
From a validated target to a lead candidate. The full Design-Build-Test-Learn loop runs through the LabOS agent mesh — Hypothesis Agent designs the campaign, Execution Broker routes nodes to partner CROs, QC Agent enforces quality gates, Learning Agent updates priors after every round.
Where we intervene
| Stage | What LabOS does | Cycle compression vs. traditional |
|---|---|---|
| Hit identification | Virtual screen (Design Agent over chem libraries) + focused HTS routed to Syngene / Aragen | 2–3 months vs. 6–12; 80% lower spend |
| Hit-to-lead | AI-designed SAR cycles, agent picks next compounds, wet-lab via partner CRO | 4–6 months vs. 12–18 |
| Lead optimization | ADMET prediction + iterative wet-lab confirmation, closed-loop | 50% faster, 50% cheaper |
| Candidate selection | Final lead nomination with structured PK / PD profile, tox flags, IP analysis | 2–4 weeks vs. months |
Why agentic DBTL works here
The bottleneck in drug discovery has always been the cycle time between “we synthesized these molecules” and “now what.” The Learning Agent eliminates that gap: it ingests every round’s wet-lab results, updates the SAR model, and the Design Agent proposes the next batch within hours, not weeks. Across a typical hit-to-lead campaign, this compresses 18 months into 4–6.
Engagement
$1M–$3M per discovery program. Milestone-gated: hit identification → hit confirmation → lead nomination. Customers can exit at any milestone. Full sprint from validated target to IND-enabling lead: 12–18 months total.
SAR cycle compression
Traditional SAR: design batch → 6-week CRO queue → results → team meeting → repeat. LabOS loop: Learning Agent ingests results overnight; Design Agent proposes next batch by morning; Execution Broker slots CRO capacity within 48 hours. Typical compression: 18 months → 4–6 months for hit-to-lead.
When cycles fail
QC Agent flags anomalous IC50 shifts or plate effects. Learning Agent down-weights contaminated rounds rather than propagating bad SAR. Scientist sign-off required before next batch commit — see agentic risk controls.