We accelerate and de-risk biologics discovery with computational science
For nearly a decade, ENPICOM has been driving biologics discovery and development forward with robust bioinformatics solutions and services that integrate computational and biological expertise.
Biologics discovery is a race against time, cost, and complexity.
Experiments generate enormous volumes of data, yet that data sits siloed, incomplete, and scattered across tools.
What we hear from teams like yours
Our pipelines can't keep up with the pace of new modalities.
Our scientists spend more time wrangling data than doing science.
There's no coherent infrastructure to drive adoption of our AI initiatives.
Our mission
ENPICOM replaces the slow, disconnected pipelines of the past with infrastructure built for speed, precision, and data-driven decisions. To achieve this, we built an interdisciplinary team bringing together experts in immunology, antibody discovery, machine learning, and software engineering.
Our platform integrates fully into existing environments, removing silos: lab scientists apply advanced models directly to their data, while AI teams gain clean access to high-quality experimental results. This closes the loop between the wet lab and the dry lab, accelerating the discovery of better drug candidates.
25%Faster AI learning cycles after full implementation
10xFaster data consolidation across instruments, vendors, and sites
50%Reduction in molecules experimentally tested
Backed by global industry leaders in life sciences, investment, and deep tech
- BOP Impact VenturesInvestor
- Colby Souders, PhDScientific Advisory Board
- Jaap Goudsmit, MD, PhDScientific Advisory Board
- Victor Greiff, PhDScientific Advisory Board
Accelerate and de-risk biologics discovery
Talk to an ENPICOM scientist about a discovery pipeline built around your work.