Convexia

The world's first AI-maximalist pharma company

Summer 2025

Active

ai-powered-drug-discovery

artificial-intelligence

biotech

San Francisco

https://convexia.bio

The world's first AI-maximalist pharma company

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.

Active Founders

Ayaan Parikh

Founder

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.

Ayaan Parikh

Founder

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).

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).

Company Launches

Convexia: World’s First AI-Maximalist Pharma Company

See original launch post

Hey 👋 We’re Ayaan and Rahul — Stanford CS dropouts who’ve exited 3 startups together.

Our 4th startup is Convexia, an AI-maximalist pharma company. We buy drugs, run clinical trials, and then sell for profit.

🎥 Launch Video

Problem

Pharma is the most bloated, antiquated trillion-dollar industry on the planet.

Life-saving drugs are overlooked, abandoned, or shelved because diligence is still done by hand. Slow, costly, and outdated.

Our Solution

We use agents to operate 10x faster and 20x leaner. Convexia’s AI agents autonomously handle:

Sourcing – Find hidden early-stage drugs from around the world.
Scientific diligence – Evaluate drug viability with leading computational biology tools
Market analysis – Model market size, competition, and IP positioning
Clinical operations – Simulate trials, flag CMC issues, and discover CROs
Business development – Match each drug to the right buyer

Test our agents here: https://www.convexia.bio/playground

Our Ask

Before buying and selling drugs ourselves, we are running pilots with early customers who want to accelerate their search and evaluation processes.

📅 Book a call here.

Here’s who we’re looking to meet—see if anyone’s in your network here.

Small/mid pharma companies (Incyte, Nimbus, Roivant SubCos)
Biotech VCs (Versant, Atlas, RA Capital)
Computational biotechs (Recursion, Insitro, Owkin)
Operators who’ve brought drugs to market

Reach us: founders@convexia.bio

Hear from the founders

How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)

Ayaan and Rahul met at an entrepreneurship conference in 8th grade and have been building together ever since. By the end of high school, they’d launched two startups. At Stanford, they built a third, recently acquired. Now they’re on their fourth venture - and this is the one they believe can be a unicorn.