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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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  • M2ML’s Lifecycle
  • Demonstrating Tangible Customer ROI Across Waves
  1. Insights

Identifying Winners Across Waves

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Last updated 3 years ago

M2ML’s Lifecycle

Venture scale requires significant momentum to surf across all 3 Waves. It’s important to know how to identify winners by Wave:

Wave 1 success is found in conceptualizing how machining will outpace human abilities, even with a more manual, service-oriented solution at the get-go.

Wave 2 is focused on building an MVP for which there’s a willingness to pay for both current and future experiments; in W2, you must be able to successfully set an initial price point (to go to market in W3).

Wave 3 reaps the benefits of the entire product lifecycle by incorporating learnings into its platform. This takes form through a modular core successfully integrating into new domains, and replacing a previously service-oriented stack with a scalable platform.

Demonstrating Tangible Customer ROI Across Waves

Customer ROI must be focused upon diligently across the 3 Waves:

In Wave 1, we can only theoretically project ROI and design for scale considerations.

In Wave 2, we rely upon the logistical groundwork to extrapolate out a solution’s atomic unit of performance.

In Wave 3, ROI is measured by an M2ML solution demonstrating superior efficiency, using a platform rather than a service model. Unit economics are often contextualized for customers by comparing against the time it would take a human (or your next best baseline infrastructure) to execute the same task or process at the same quality.

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