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.

01 · Challenge

Identifying the right biologic candidates while balancing potency, developability, manufacturability and stability.

Discovering successful biologics requires scientists to identify the right candidates while balancing potency, developability, manufacturability, and stability. Because experimental evaluation is both time-consuming and resource-intensive, making informed decisions earlier is critical to advancing the most promising molecules.

Hundreds of candidate molecules evaluated per project
Weeks spent aggregating information for decisions
Experimental burden increases with biologic complexity
Story · 01 Challenge
01Hundreds of candidate molecules evaluated per project
to move between stages · Stage 1 of 5 · LMR
Smarter decisions.Better biologics.Better medicines.

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

LMR original poster
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