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  • Introduction
    • Machine-to-Machine Learning White Paper Introduction
    • What is M2ML?
    • 3 Waves - Overcoming Limitations of Human Performance
  • Wave 1
    • Wave 1 – Vision & Identification
    • Wave 1 – Archetypes
    • Wave 1 – Opportunity Areas
      • Automating & Roboticizing Stodgy Industries
      • Accelerating Serendipitous Discovery
  • Wave 2
    • Wave 2 – Building an MVP
    • Wave 2 – Archetypes
    • Wave 2 – Opportunity Areas
      • Automating & Roboticizing Stodgy Industries
      • Accelerating Serendipitous Discovery
    • Wave 2 - The North Star: Building for the J-Curve
  • Wave 3
    • Wave 3 – Building a Platform
    • Wave 3 – Archetypes
    • Wave 3 – Opportunity Areas
      • Automating & Roboticizing Stodgy Industries
      • Accelerating Serendipitous Discovery
  • Insights
    • Identifying Winners Across Waves
    • Case Study: Rapid Robotics
    • Go-to-Market Playbook
      • Product
      • Sales
      • Platform
    • Waves in Motion
  • Conclusion
    • Why Now?
    • Get in Touch
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  1. Wave 1
  2. Wave 1 – Opportunity Areas

Accelerating Serendipitous Discovery

New process definition to supersede human limitations

PreviousAutomating & Roboticizing Stodgy IndustriesNextWave 2 – Building an MVP

Last updated 3 years ago

Designing Never-Before-Possible Scientific Breakthroughs

  • The paradigm shift from Biotech to Techbio is a game changer, and has directed attention to discovery engines (ex. ) that uncover multiple assets vs. the traditional singular asset pipeline.

  • Biologists are now designing organisms (discovered and created via DNA sequencing) and techniques to create optimal solutions in therapeutics, materials, food, and more - unlocking sustainable resource creation through science.

  • Companies leveraging not just discovery, but optimized scale-up techniques, including design and experimentation at prototype and bench scale, are especially attractive.

Zymergen
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