Company Intelligence

Convexia

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…

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Quick Facts

  • Founded 2025
  • Headquarters San Francisco, United States
  • Country United States
  • Industry AI in Healthcare
  • Company Type Early
  • Status Active
  • Website Official site
  • Last Reviewed Aug 2026

Executive Summary

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.

Why It Matters

The world's first AI-maximalist pharma company

Recent Developments

  1. 2025 Company founded

    Convexia was founded in 2025 per the company profile source on file.

    Source

Connected Reports

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Industries

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.

Company information is based on publicly available sources and is reviewed periodically. If you represent this company and would like to request a correction, contact Brel.

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