BigHat Biosciences

BigHat Biosciences

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Private Company

Total funding raised: $172.5M

Overview

BigHat Biosciences is a private, Series B biotech company leveraging a proprietary integrated platform called Milliner to revolutionize antibody discovery and engineering. The platform synergizes high-throughput synthetic biology labs with advanced machine learning models to design, build, and test hundreds of antibody variants weekly, significantly compressing development timelines. The company has a pipeline of over ten therapeutic programs, engages in strategic partnerships with major pharma, and has raised over $100 million from top-tier investors to advance its mission of creating better biologics faster.

OncologyImmunologyInfectious Diseases

Technology Platform

Milliner platform: A full-stack, integrated system combining a high-speed synthetic biology wet lab for antibody synthesis and characterization with machine learning models (including protein language models) to guide the design of improved therapeutic antibodies in rapid design-build-test-learn cycles.

Funding History

4
Total raised:$172.5M
Series B$75M
Series A$75M
Series A$19M
Seed$3.5M

Opportunities

The massive and growing biologics market creates a strong demand for technologies that can accelerate discovery and improve success rates.
BigHat's validated platform positions it to secure additional high-value partnerships with large pharma companies and to advance its internal pipeline into clinical development, creating multiple value inflection points.

Risk Factors

The company faces technological risk that its AI-designed antibodies may not demonstrate clinical superiority, intense competition in the AI-biotech space, and the inherent high failure rate of therapeutic development.
Reliance on partnership funding also introduces dependency risk.

Competitive Landscape

BigHat competes in the rapidly growing field of AI/ML-driven drug discovery, facing competition from other biotechs like Absci, Generate Biomedicines, and Recursion, as well as internal efforts at large pharmaceutical companies. Its differentiation lies in its tightly integrated full-stack platform that combines proprietary wet-lab throughput with specialized ML models for antibodies.