LMRLarge Molecule Research · Driven by data & AI

Molecules by design.

70% fewer molecules requiring experimental characterization.

BioAIM helps scientists identify the right biologic candidates earlier by combining predictive AI, computational biology, and experimental data to support smarter discovery decisions.

From evaluating developability and manufacturability to focusing laboratory efforts on the most promising molecules, BioAIM empowers researchers to design better biologics with greater confidence.

01Challenge 02AI Technology 03Applied Today 04Real-World Example 05Impact

02 · AI Technology

BioAIM evaluates developability and performance before experimental testing.

BioAIM combines predictive AI, computational biology, and integrated data to evaluate developability, manufacturability, and molecular performance before experimental testing. By helping scientists prioritize the most promising candidates earlier, BioAIM supports faster, more informed biologics discovery.

AI-powered biologics design and candidate selection

Predict manufacturability and developability earlier

Prioritize the right candidates earlier

Reduce the number of molecules requiring experimental characterization

Reduce experimental burden

Support smarter discovery decisions

Story · 02 AI Technology

01AI-powered biologics design and candidate selection

← Challenge←→ to move between stages · Stage 2 of 5 · LMRApplied Today →

Smarter decisions.Better biologics.Better medicines.

Helping scientists identify the right biologic candidates earlier and with greater confidence.

Next program: TDSB →