Cyril Le Mat

CTO @ Sunrise | I’m hiring!

Paris, Île-de-France, France

About

CTO at Sunrise, driving the next generation of AI in sleep medicine. 15+ years building and scaling data science, engineering, and product teams — from early prototypes to production-grade AI systems. Focused on delivering impact through applied machine learning, strong engineering culture, and measurable product outcomes.

Experience

  • Sunrise (3 yrs 10 mos)
    • CTO
      Oct 2025 - Present · 9 mos

    • Head of Data Science & Software
      Feb 2023 - Oct 2025 · 2 yrs 9 mos

    • Head of Data Science
      Sep 2022 - Feb 2023 · 6 mos

      Sunrise is a sleep testing technology using Machine Learning to diagnose sleep apnea disorders. Thanks to an easy-to-use, wireless, 3-gram sensor, Sunrise allows anyone to clinically test its sleep. It brings gold-standard quality from hospital diagnosis directly to the patient’s home and it is the only certified medical device fully automating its analysis while demonstrating above 90% agreement with in-lab sleep studies. At a fraction of the cost.

  • CTO at Dreem Health | Sunrise
    Jan 2024 - Present · 2 yrs 6 mos

  • Angel Investor at Lettria
    Oct 2022 - Present · 3 yrs 9 mos

    Lettria is building the ultimate NLP platform to help companies turn textual data into smart business decisions.

  • Angel Investor at Giskard
    Apr 2022 - Present · 4 yrs 3 mos

    Deliver ML products, better & faster. Open-Source CI/CD for ML teams.

  • Director of Data Science at Cornerstone OnDemand
    Jan 2020 - Oct 2022 · 2 yrs 10 mos

    Cornerstone OnDemand is a leader in adaptive cloud-based HR software solutions - AI : Based on the Clustree technology (including private LLMs), Developed 10 cutting-edge NLP AI features integration at scale -> New major product development and sales, estimated at $30-50m ARR - Architecture: Designed the data access and ML prediction architecture; launched the modelkit MLOps open source framework; - Product collaboration: Specialized the product design process for ML features; Co-designed the AI features; Created a transversal and cross-functional Quality process - Management : 10 people team management (Data Scientists and Backend Engineers)