DeepCure

DeepCure

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Private Company

Total funding raised: $49M

Overview

DeepCure is a private, preclinical-stage biotech applying a proprietary AI/ML and physics-integrated platform to drug difficult targets in immunology. The company has identified its first two development candidates: DC-9476, an oral BRD4-BD2 inhibitor for rheumatoid arthritis and related conditions, and DC-15442, an oral STAT6 inhibitor for asthma and atopic dermatitis, both in IND-enabling studies. With a leadership team combining deep AI expertise from MIT with seasoned drug development experience from major pharma, DeepCure aims to create a new class of oral therapies for diseases dominated by injectable biologics.

Autoimmune DiseasesInflammatory DiseasesImmunology

Technology Platform

Integrated platform combining advanced AI/ML, physics-based computational chemistry tools, and laboratory automation for the discovery of novel small molecules against challenging targets.

Funding History

2
Total raised:$49M
Series A$40M
Seed$9M

Opportunities

DeepCure has a major opportunity to disrupt large immunology markets by developing oral small molecules for diseases dominated by injectable biologics, offering patients greater convenience.
Its validated platform, which has produced two IND-ready candidates, also presents a partnership or asset-licensing opportunity with large pharma companies seeking to augment their pipelines.

Risk Factors

The company faces high scientific risk as its novel compounds must prove safe and effective in human trials, and its focus on historically intractable targets increases the probability of failure.
As a pre-revenue, private company, DeepCure is also vulnerable to shifts in the biotech funding environment and will require significant additional capital to advance through clinical development.

Competitive Landscape

DeepCure competes in the crowded AI-drug discovery sector against companies like Recursion, Exscientia, and Atomwise, as well as in the specific immunology space against large pharma and biotechs developing both biologics and oral small molecules. Its key differentiator is the deep integration of physics-based tools with AI and a focused pipeline on validated but challenging immunology targets.