Convexia
ActiveThe world's first AI-maximalist pharma company
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. PoS Agent: Evaluates the most critical factors that impact the likelihood of clinical trial success. Built by 2 Stanford CS students who have built 3 startups together before.
Founders · 2
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.
Building agents to find and acquire early-stage drug assets. Stanford CS + Econ Built 3 healthtech startups (telemedicine, gamified recovery, hydroponic systems).
Launch
AI agents that search and evaluate early-stage drugs
Convexia builds AI agents to source early-stage drugs, perform scientific diligence, model markets, simulate clinical trials, and handle business development to buy, test, and sell drug candidates. They are running pilots with early customers to accelerate search and evaluation processes for pharma and biotech partners.
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