Programming Proximity.

Unlocking Biology.


Programming Proximity.

Unlocking Biology.

Creating the first AI-native platform for programmable induced proximity therapeutics


Programming Proximity.

Unlocking Biology.

Creating the first AI-native platform for programmable induced proximity therapeutics

Induced Proximity Drug Discovery is Mostly Accidental

Induced Proximity Drug Discovery is Mostly Accidental

Today's induced proximity discovery relies on serendipity or brute-force screening

Today's induced proximity discovery relies on serendipity or brute-force screening

The Constraint

Conventional targeted therapies miss ~80% of disease-relevant proteins

•Dependent on pre-existing, detectable ligand binding sites,

Untapped target space leaves tremendous unmet need

The Gap

Current IP/TPD screening approaches are expensive and carry high-risk

•High-throughput screening campaigns consume significant time and resources, with no guarantee for success

The Opportunity

A systematic framework for IP/TPD drug discovery doesn't exist yet

•We need a platform to enable rational design and engineering of novel functional protein interactions

Why Now

Three fields have matured and only now are powerful enough to combine

The convergence of these technologies enables our approach, aimed to unlock targets previously deemed undruggable

Structural Biology

Atomic-resolution understanding of molecular interfaces and dynamic conformations has uncovered new biology.

Induced Proximity

FDA-approved PROTACs and molecular glues proved that induced proximity produces real therapeutic outcomes.

AI/ML for Biology

Automated analysis, predictive modeling, and agentic AI workflows have empowered scientists to do more with their data

Our Platform

ARC-Engine:

A single platform.

Multiple therapeutic Applications

Analyze

Builds a comprehensive view of the protein interaction landscape to reveal opportunities invisible to conventional approaches.

Resolve

Identifies compatible protein pairings with the highest potential for programmable biological control.

Construct

Translates platform insights into therapeutic candidates designed for precision and purpose.

Closed-loop learning:

The platform learns from every experiment, improving discovery speed and candidate quality over time.

Start the Conversation Today

If you're a scientist, investor, or operator who thinks seriously about AI's role in how new medicines get discovered, I'd welcome a conversation.

Founder Avatar

Kristofer Haushalter

Founder & CEO of Arcadus Therapeutics

Connect

Start the Conversation Today

If you're a scientist, investor, or operator who thinks seriously about AI's role in how new medicines get discovered, I'd welcome a conversation.

Founder Avatar

Kristofer Haushalter

Founder & CEO of Arcadus Therapeutics

Connect

Start the Conversation Today

If you're a scientist, investor, or operator who thinks seriously about AI's role in how new medicines get discovered, I'd welcome a conversation.

Founder Avatar

Kristofer Haushalter

Founder & CEO of Arcadus Therapeutics

Connect