Persona
Dr. Nair, Discovery Lead
Story 01
“As a discovery lead, I want an AI to shortlist 200 druggable analogues from a 10M compound library overnight, so my team focuses only on wet-lab work that matters.”
All industries
Industry practice
Pharma & Biotech
Compress discovery. Accelerate compliance.
From molecule to market — we build AI systems for target discovery, clinical operations, regulatory intelligence and GxP-compliant manufacturing analytics.
3.4x
Faster literature review
-45%
Batch release cycle
21 CFR
Part 11 aligned
/ Use cases
Where we've done the work.
Not a catalogue — a sample of the problems we actively engineer solutions for today.
Use case 01
Target & Molecule Discovery
Graph neural networks and generative chemistry accelerate hit identification and lead optimisation against novel targets.
Use case 02
Clinical Trial Intelligence
NLP over protocols, EHR and site data to optimise site selection, patient recruitment and adverse-event signal detection.
Use case 03
Regulatory Copilot
Retrieval-augmented agents draft CMC sections, respond to health-authority queries and monitor guideline changes across FDA / EMA / CDSCO.
Use case 04
GxP Analytics & Batch Release
Golden-batch models and validated audit trails cut batch review time while preserving Part 11 traceability.
/ User stories
The people we build for.
Every engagement starts with a real person, a real problem, and a job to be done. Here are three from this practice.
Persona
Priya, Clinical Operations
Story 02
“As clin-ops, I want to spot underperforming sites in week 6 rather than week 26, so I can re-allocate patient recruitment before we blow the timeline.”
Persona
Vikram, Regulatory Affairs
Story 03
“As a regulatory lead, I want a copilot that drafts a first-pass response to an FDA IR in an hour with cited source docs, so I ship submissions faster without risking accuracy.”