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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).