Convexia
Summer 2025 · Active
The world's first AI-maximalist pharma company
Location: San Francisco, US
Founded: 2025
Team size: 2
About
An AI-maximalist pharma platform. We use agents to buy drugs, run clinical trials, and sell for a profit. 10x faster and 20x leaner than incumbents.
Sourcing Agent: Mines public/private databases and unstructured global data to surface overlooked preclinical candidates.
Scientific Agent: Runs comp bio models (ESM-3, RFdiffusion, Boltz-2, AlphaFold) to assess safety and efficacy in silico.
Commercial Agent: Analyzes FDA incentives, pricing dynamics, TAM, competitive landscape, and payer alignment.
Clinical Agent: Runs digital twin simulations, evaluates CRO/CMC risk, and builds trial plans to Phase 1.
BD Agent: Summarizes and delivers company-tailored pitches.
Built by 2 Stanford CS students who have built 3 startups together before.
Founders
Ayaan ParikhFounder
Building agents to find and acquire early-stage drug assets. Stanford CS + Bio Built 3 healthtech startups (telemedicine, addiction recovery, hydroponic systems). Published 4 papers on molecular dynamics. Biotech VC and consulting experience.
Rahul Vijayan Co-Founder & CTO
Building agents to find and acquire early-stage drug assets. Stanford CS + Econ Built 3 healthtech startups (telemedicine, gamified recovery, hydroponic systems).