Expedition Medicines

Expedition Medicines

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Private Company

Total funding raised: $187M

Overview

Expedition Medicines is an early-stage biotech leveraging a proprietary platform at the intersection of covalent chemistry and AI to tackle undruggable targets. Its platform integrates high-throughput chemoproteomic data generation with advanced generative AI and quantum chemistry calculations to design molecules that form covalent bonds with protein surfaces. Backed by Flagship Pioneering and led by a team of experts in covalent drug discovery and AI, the company is building a pipeline of novel therapeutics while seeking to fundamentally expand the druggable proteome.

OncologyImmunology

Technology Platform

Integrated platform combining covalent chemistry, high-throughput chemoproteomic data generation, and generative AI/quantum chemistry algorithms to design small molecules that engage 'undruggable' protein surfaces.

Funding History

2
Total raised:$187M
Series B$100M
Series A$87M

Opportunities

The company targets the vast 'undruggable' proteome, encompassing high-value targets in oncology, immunology, and beyond, representing a multi-billion dollar market.
Its convergence of covalent chemistry and AI positions it at the forefront of two high-growth sectors, attracting significant partnership interest from large pharma seeking novel modalities.

Risk Factors

The core scientific hypothesis of reliably and safely drugging protein surfaces with AI-designed covalent molecules is unproven and faces significant technical hurdles, including selectivity and toxicity.
As a pre-revenue, preclinical company, it is dependent on continued venture funding and faces intense competition in both the AI-drug discovery and covalent therapeutics spaces.

Competitive Landscape

Expedition competes in the crowded AI-drug discovery sector (e.g., Recursion, Exscientia, Insilico Medicine) and the specialized covalent drug discovery niche (e.g., Relay Therapeutics, Frontier Medicines). Its differentiation lies in the specific integration of proteome-wide covalent chemistry data with generative AI, a approach few, if any, competitors have fully replicated.