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

05 · Impact

Better biologic therapies to patients, faster.

By helping scientists identify the right biologic candidates earlier, BioAIM strengthens decision-making, improves productivity, and helps deliver better biologic therapies to patients faster.

Accelerate biologics discovery

Improve confidence in candidate selection

Focus experimental resources on the most promising candidates

Increase productivity across research

Deliver better therapies to patients

Story · 05 Impact

Accelerate biologics discovery

70%fewer molecules requiring experimental characterization

← Real-World Example←→ to move between stages · Stage 5 of 5 · LMRNext program: TDSB →

Smarter decisions.Better biologics.Better medicines.

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

Next program: TDSB →