Our Story

    Built by operators, for operators

    We've kept infrastructure running. Now we're building for those who do the same.

    We come from the world of IT and AI, but not the virtual side. We've spent our careers in the physical layer: building servers, running datacenters, digging trenches for optical fiber. We're operators first.

    A few years ago, we noticed something shifting. The gap between IT and OT was closing. The same AI capabilities transforming software, logistics, and services could finally reach the factory floor. The moment to act was now.

    But when we looked closer, we saw something frustrating: all the pieces existed, yet it wasn't happening. Not yet. Not fast enough. And definitely not easily.

    The pattern was always the same: ambitious technology, complex integrations, months of consulting, and systems that operators abandoned within a year.

    We asked: what if we built something that operations teams could actually deploy themselves? That provided value in weeks, not quarters? That started with visibility and let you add sophistication only when ready?

    That question became Edgeweave.

    Founders

    The team behind Edgeweave

    Frédéric Ethève

    Frédéric Ethève

    Co-Founder & CEO

    20+ years driving innovation across tech and deeptech. Former COO at OVHcloud where he scaled operations through a successful IPO. Previously led strategy at Google Access and was an Engagement Manager at McKinsey. Harvard MBA. Passionate about bridging business and technology to deliver transformative results.

    LinkedIn
    Germain Masse

    Germain Masse

    Co-Founder & CTO

    Infrastructure builder and operator at heart. Joined Europe's largest cloud provider as one of its earliest employees, helping scale it from 10 to 3,000 people. Former VP of Network Engineering and Director of Operations US/CAN. Two decades of deep expertise in scalable architectures, product development, and AI-powered transformation.

    LinkedIn
    Principles

    How we build

    Operator-First Design

    Every feature gets tested with the question: would a line supervisor actually use this? If it requires training beyond 15 minutes, it's too complicated.

    Value Before Complexity

    Start with observability. Real-time visibility and OEE are valuable on day one. AI optimization and predictive features come later, when you're ready and your data is mature.

    No Vendor Lock-In

    Your data is yours. Export anytime. Open APIs. Sensors use standard protocols. If you outgrow us, you keep everything you've learned.

    The convergence that made this possible

    Five things became true in the last few years that made Edgeweave possible:

    1

    Edge computing costs dropped 90%

    2

    Non-intrusive sensors matured for industrial environments

    3

    AI/ML models can now run on low-power edge devices

    4

    Cloud platforms offer enterprise security at startup prices

    5

    A generation of operators grew up expecting consumer-grade UX

    We're building the platform that should have existed 10 years ago, because now it actually can.

    Want to talk?

    info@edgeweave.tech
    Montreal, Canada
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