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BigHat Biosciences

AI-driven antibody engineering with closed-loop lab validation

Founded2019
HQSan Mateo, CA
StagePreclinical
Total Funding$148M
bighatbio.com
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Overview

BigHat Biosciences combines machine learning with high-throughput wet lab experiments in a closed-loop system to design safer, more effective antibodies. The company's platform iterates between computational prediction and experimental validation, building proprietary datasets that continuously improve its AI models for antibody optimization.

Focus areas

Antibody Design, Platform


Funding

$148M

Total raised

Series B2022-07

$75M

Led by Section 32

Notable investors

Section 32 · a16z Bio + Health · AME Cloud Ventures · Byers Capital


Technology

Closed-loop antibody design platform integrating ML models with high-throughput wet lab experiments. The system generates proprietary datasets that iteratively improve predictions of antibody function, safety, and manufacturability.

Platforms & Tools
ML-guided antibody designHigh-throughput characterizationClosed-loop optimization

Leadership

Mark DePristo

CEO & Co-Founder

Former Google Brain, Broad Institute; led GATK development

Peyton Greenside

CTO & Co-Founder

PhD from Stanford, computational genomics


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