Company profile

BigHat Biosciences

Drug Discovery & Development

Company profile

About BigHat Biosciences

BigHat Biosciences is a Series B biotechnology company that develops next-generation antibody therapeutics using an integrated machine learning and synthetic biology platform. Founded in 2019 and headquartered in San Mateo, California, the company has raised over $100 million from top investors to pursue its mission of creating safer, more effective antibody therapies for patients. The company's proprietary Milliner platform combines a synthetic biology-based high-speed wet lab with state-of-the-art machine learning technologies into a full-stack antibody discovery and engineering system. At the heart of this platform is Reccy Antibody Design Studio (RADS), an AI-driven system that orchestrates thousands of models and datasets through continuous design-build-test cycles. The platform can synthesize, purify, and fully characterize hundreds of recombinant antibodies for biophysics and function in a single weekly workcell, dramatically accelerating the path from hypothesis to development candidate. BigHat's technology addresses the complex challenges of antibody therapeutic development, including affinity, specificity, stability, manufacturability, and immunogenicity. The company applies its capabilities to both wholly-owned therapeutic programs and strategic partnerships with leading pharmaceutical companies including Eli Lilly, Johnson & Johnson, and Lonza's Synaffix. By leveraging cell-free protein synthesis, automated assays, and iterative machine learning optimization, BigHat is advancing treatments for today's most challenging diseases, from inflammation and infections to cancers.

Company description BigHat Biosciences official website

Primary marketDrug Discovery & Development
Commercial modelCommercial information available on request
Company presenceLinkedIn X
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01 · Operating footprint

Where the Company operates

Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.

Clinical focus

  • cancers
  • chronic inflammatory diseases
  • infections
  • inflammation

Who it serves

  • Biotechnology companies
  • Pharma

Deployment & integration

On Premise · Other deployment with recorded integration context.

Geographic context

MarketsUSA
Company sourceOfficial website

Company milestones

Platform expansion

Appointed Stefan Weigand as Chief Scientific Officer (June 2026); Launched Reccy Antibody Design Studio/RADS (September 2025); Partnership with Lilly for ML-enabled biologics discovery (January 2026, April 2025); Completed J&J strategic collaboration (October 2025); Lonza Synaffix ADC collaboration (November 2024)

Partnerships

Recorded partners

  • Eli Lilly (TuneLab collaboration)
  • Johnson & Johnson (completed strategic collaboration)
  • Lonza Synaffix (ADC development)

02 · Flagship portfolio

Products, workflows, and platform capabilities

Selected source-backed Company products and the available commercial context.

Logic-Gated T Cell Engagers

First-in-class antibodies engineered to know when NOT to attack

Other · OtherCompany source

Milliner Platform

AI-driven antibody discovery and engineering platform integrating ML with high-throughput wet lab

Platform · On PremiseCompany source

Reccy Antibody Design Studio (RADS)

Fully integrated AI platform orchestrating ML models and datasets for antibody optimization

Software · On PremiseCompany source

03 · Research intelligence

Research Intelligence evidence

Publications, preprints, clinical validation, and regulatory records in Evidence Position order.

04 · Company-reported outcomes

Outcomes and case studies

Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.

Hundreds of antibodies characterized per week

Single weekly workcell throughput

Tens of thousands of antibodies characterized

Since founding in 2019 across hundreds of design rounds

Eli Lilly and Company

Advance machine learning-enabled biologics discovery through Lilly TuneLab and AI-driven antibody therapeutics development

Johnson & Johnson

Strategic collaboration for antibody therapeutic development

Successful completion of strategic collaboration

Lonza Synaffix

Development of machine learning-designed antibody-drug conjugate (ADC)

05 · Leadership

Leadership team

Leadership profiles and professional links from the current Company record.

Stefan Weigand

Chief Scientific Officer

LinkedIn

06 · Company updates

Updates from BigHat Biosciences

Recent articles published on BigHat Biosciences's official website.

07 · HAIC coverage

Coverage and analysis

Health AI Central reporting that mentions this Company.

No HAIC coverage is currently linked to this Company.

08 · Official presence

Company sources and channels

Curated official destinations from the active Company record.

09 · Market pathway

Additional Companies in this Market

Other active Companies in the same market, selected alphabetically from the HAIC directory.

Market context

Drug Discovery & Development

Companies using AI, machine learning, or computational biology to discover new drug candidates, identify drug targets, predict drug efficacy, or accelerate pharmaceutical development. Includes both small molecule and biologics development, precision oncology drug discovery, and AI-driven target identification and molecule design.

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10 · Pro research

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ResearchEvidence analysis

Linked research, clinical, and regulatory source pathways.

CompanyTechnical context

Expanded product, deployment, integration, and partnership research.

MethodSource & review record

Record-level provenance and review context.

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