BigHat Biosciences

BigHat Biosciences

Develops antibody therapies using machine learning

About BigHat Biosciences

Simplify's Rating
Why BigHat Biosciences is rated
B+
Rated B on Competitive Edge
Rated A on Growth Potential
Rated B on Rating Differentiation

Industries

AI & Machine Learning

Biotechnology

Company Size

51-200

Company Stage

Series B

Total Funding

$99.3M

Headquarters

San Carlos, California

Founded

2019

Overview

BigHat Biosciences focuses on developing antibody therapies using machine learning and synthetic biology. Their main product is the Milliner platform, which integrates a wet lab with advanced machine learning to rapidly design and engineer antibodies. This platform enables the synthesis, purification, and characterization of hundreds of antibodies each week, allowing for quicker development of treatments for challenging diseases like infections and cancers. Unlike many competitors, BigHat emphasizes a family-friendly work culture while maintaining high performance. The company's goal is to create safer and more effective therapies for patients, particularly those with difficult-to-treat conditions.

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Simplify's Take

What believers are saying

  • AI-driven protein engineering is crucial for personalized medicine and effective treatments.
  • Collaborations with Synaffix and Merck highlight BigHat's strategic growth in ADCs.
  • The biotech industry shift towards scalable biologics production benefits BigHat's efficient methods.

What critics are saying

  • CEO transition may disrupt strategic direction and operations at BigHat.
  • Dependency on Synaffix's ADC technology could pose risks if challenges arise.
  • Rapid team expansion might strain resources and impact company culture.

What makes BigHat Biosciences unique

  • BigHat's Milliner platform integrates AI with synthetic biology for rapid antibody development.
  • The company focuses on difficult-to-treat diseases, offering unique therapeutic solutions.
  • BigHat's partnerships with Janssen and Merck enhance its drug discovery capabilities.

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Funding

Total Funding

$99.3M

Above

Industry Average

Funded Over

3 Rounds

Notable Investors:
Series B funding is typically for startups that have proven their business model and need more funding to expand rapidly—often by entering new markets or adding more products. Investors are usually venture capital firms that specialize in later-stage investments.
Series B Funding Comparison
Above Average

Industry standards

$35M
$45M
Linktree
$65M
Substack
$75M
BigHat Biosciences
$100M
ClickUp

Benefits

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↑ 3%

2 year growth

↑ 5%
BioCentury
Mar 5th, 2025
CFO Anthony Doyle resigns at Biocryst

Co-founder Mark DePristo has stepped down as CEO of Bighat Biosciences Inc. and is succeeded by fellow co-founder Peyton Greenside, who was president and CSO.

BioPharma Reporter
Nov 5th, 2024
Synaffix and BigHat Biosciences collaborate to develop AI-designed ADC

The Danish company Adcendo and Chinese company Multitude Therapeutics entered into a $1 billion deal to develop ADCs for the treatment of cancer; and in August, the FDA lifted a partial hold on a Phase 1 trial evaluating an ADC candidate developed by MediLink Therapeutics and BioNTech for the treatment of advanced or metastatic non-small cell lung cancer and breast cancer.

World Pharmaceuticals
Nov 5th, 2024
BigHat licenses Synaffix's site-specific ADC technology platform

BigHat obtains access to Synaffix's site-specific ADC technology platform, and plans to combine Synaffix technology with its advanced ML antibody design platform to develop a new ADC pipeline

GeneOnline
Sep 26th, 2024
Billion-Dollar AI Deals Powering Antibody Design, Biologics, and Next-Gen Therapies

Similarly, AbbVie is collaborating with BigHat Biosciences to develop next-generation antibody therapeutics using the Milliner platform, focusing on oncology and neuroscience.

Business Wire
Apr 24th, 2024
Bighat Biosciences Enters Into Strategic Collaboration To Leverage Machine Learning In Antibody Discovery Design

SAN MATEO, Calif.--(BUSINESS WIRE)--BigHat Biosciences, a biotechnology company with an artificial intelligence/machine learning-guided antibody discovery and development platform announced a collaboration with Janssen Biotech Inc., a Johnson Johnson company. This strategic collaboration combines the drug discovery, clinical development and data science expertise from Johnson Johnson with BigHat’s Milliner™ platform, a suite of machine learning technologies integrated with a high-speed wet lab, to guide the design and selection for high-quality antibodies for multiple Neuroscience therapeutic targets. The agreement was facilitated by Johnson Johnson Innovation. BigHat’s antibody design platform, Milliner™, integrates a synthetic biology-based high-speed wet lab with state-of-the-art machine learning technologies into a full-stack antibody discovery and engineering platform, to engineer antibodies with more complex functions and better biophysical properties. This approach reduces the difficulty of designing antibodies and other therapeutic proteins to tackle conditions ranging from chronic illness to life-threatening disease, while also massively speeding up candidate discovery and validation. "We’re delighted to be collaborating with Johnson Johnson to utilize BigHat’s Milliner™ platform to accelerate protein design," stated Mark DePristo, CEO and Co-founder of BigHat

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