• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to secondary sidebar
  • Skip to footer

  • Opinion
  • Health IT
    • Behavioral Health
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Patient Engagement
    • Population Health Management
    • Revenue Cycle Management
    • Social Determinants of Health
  • Digital Health
    • AI
    • Blockchain
    • Precision Medicine
    • Telehealth
    • Wearables
  • Life Sciences
  • Investments
  • M&A
  • Value-based Care
    • Accountable Care (ACOs)
    • Medicare Advantage

Eli Lilly Taps Chai Discovery’s Frontier AI to Design ‘Computer-Aided’ Biologics

by Fred Pennic 01/09/2026 Leave a Comment

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print
OpenAI-Backed Chai Discovery Raises $130M to Tackle "Undruggable" Targets with Generative AI

What You Should Know

– Eli Lilly and Company has entered a strategic collaboration with Chai Discovery to deploy frontier AI for the design of novel biologic therapeutics.

– The partnership includes the development of an exclusive, purpose-built AI model trained on Lilly’s proprietary data, leveraging Chai’s Chai-2 platform to compress discovery timelines from months to weeks.


The “Zero-Shot” Revolution: Slashing Discovery Timelines

In the world of biologics, antibody design has historically been a game of trial and error. Chai Discovery is disrupting this with Chai-2, the first zero-shot antibody design platform to achieve double-digit experimental hit rates.

By predicting and reprogramming biochemical interactions with “computer-aided design” (CAD) precision, Chai allows Lilly to:

  • Accelerate Hit Rates: Achieve high experimental success without the traditional “wet lab” cycles.
  • Design Drug-Like Properties: Ensure molecules are not just theoretically viable but possess the stability and safety required for human therapeutics.
  • Compress Timelines: Complete discovery processes in weeks that previously required months of manual experimentation.

Proprietary Data Training

The most significant component of this deal is the development of a custom AI model. While Chai offers access to its core frontier models, this purpose-built engine will be trained on Lilly’s large-scale proprietary data.

Skeptics often point to “AI Hype” in drug discovery. However, Chai Discovery’s recent $1.3 billion valuation (backed by OpenAI, Thrive Capital, and Oak HC/FT) suggests that the financial markets view their “hit rates” as clinically significant. Unlike point solutions, Chai is building a “frontier foundation model”—the biological equivalent of GPT-4—specifically for molecular interactions.

  • LinkedIn
  • Twitter
  • Facebook
  • Email
  • Print

Tagged With: Artificial Intelligence, Drug Discovery

Tap Native

Get in-depth healthcare technology analysis and commentary delivered straight to your email weekly

Reader Interactions

Primary Sidebar

Subscribe to HIT Consultant

Latest insightful articles delivered straight to your inbox weekly.

Submit a Tip or Pitch

Featured Research Report

2026 Best in KLAS Awards: The Full List of Software & Services Winners

Most-Read

The "Platform" Squeeze: Epic Releases Native AI Charting, Putting Venture-Backed Scribes on Notice

The “Platform” Squeeze: Epic Releases Native AI Charting, Putting Venture-Backed Scribes on Notice

Analysis: Oracle Cerner’s Plans for a National EHR

Oracle May Cut 30k Jobs and Sell Cerner to Fund $156B OpenAI Deal

The $1.9B Exit: Why CommonSpirit is Insourcing Revenue Cycle and Tenet is Betting Big on Conifer AI

The $1.9B Exit: Why CommonSpirit is Insourcing Revenue Cycle and Tenet is Betting Big on Conifer AI

KLAS 2026 Rankings: Aledade and Guidehealth Named Top VBC Enablement Firms

KLAS 2026 Rankings: Aledade and Guidehealth Named Top VBC Enablement Firms

Beyond the Hype: New KLAS Data Validates the Financial and Clinical ROI of Ambient AI

Beyond the Hype: New KLAS Data Validates the Financial and Clinical ROI of Ambient AI

Anthropic Debuts ‘Claude for Healthcare’ and Opus 4.5 to Engineer the Future of Life Sciences

Anthropic Debuts ‘Claude for Healthcare’ and Opus 4.5 to Engineer the Future of Life Sciences

OpenAI Debuts ChatGPT Health: A ‘Digital Front Door’ That Connects Medical Records to Agentic AI

OpenAI Debuts ChatGPT Health: A ‘Digital Front Door’ That Connects Medical Records to Agentic AI

From Genes to Hackers: The Hidden Cybersecurity Risks in Life Sciences

From Genes to Hackers: The Hidden Cybersecurity Risks in Life Sciences

Utah Becomes First State to Approve AI System for Prescription Renewals

Utah Becomes First State to Approve AI System for Prescription Renewals

NYC Health + Hospitals to Acquire Maimonides in $2.2B Safety Net Overhaul

NYC Health + Hospitals to Acquire Maimonides in $2.2B Safety Net Overhaul

Secondary Sidebar

Footer

Company

  • About Us
  • 2026 Editorial Calendar
  • Advertise with Us
  • Reprints and Permissions
  • Op-Ed Submission Guidelines
  • Contact
  • Subscribe

Editorial Coverage

  • Opinion
  • Health IT
    • Care Coordination
    • EMR/EHR
    • Interoperability
    • Population Health Management
    • Revenue Cycle Management
  • Digital Health
    • Artificial Intelligence
    • Blockchain Tech
    • Precision Medicine
    • Telehealth
    • Wearables
  • Startups
  • Value-Based Care
    • Accountable Care
    • Medicare Advantage

Connect

Subscribe to HIT Consultant Media

Latest insightful articles delivered straight to your inbox weekly

Copyright © 2026. HIT Consultant Media. All Rights Reserved. Privacy Policy |