About Innovate-Ops

Industrial expertise, built for an AI-enabled future.

We are an engineering company solving real problems in manufacturing and logistics โ€” practical problem-solving for the machines that keep operations running, not slideware. We pair hardware and software so industrial teams can act on what their equipment is telling them.

Company

Innovate-Ops

An industrial AI and IoT company based in Canada, building the IoT Octopus device and the Innovate-Ops Platform.

Company facts

Innovate-OpsIndustrial AI & IoT platform โ€” hardware and software in one.
HeadquartersKitchener, Ontario, Canada
Built onGoogle Cloud
Leadership

Run by engineers who have lived the problem.

Decades of combined experience across manufacturing operations, commercial engineering leadership, and industrial electronics โ€” the team has operated, sold to, and built for the plants this platform serves.

Dennis Kuzmenko
Dennis Kuzmenko, P.Eng., M.Sc.
Founder & Chief Executive Officer
20+ years in manufacturing operations; former director with deep expertise in process efficiency, driving the adoption of industrial AI.
Leo Reznik
Leo Reznik, P.Eng.
Chief Commercial Officer
20+ years of engineering leadership building scalable, customer-focused solutions, with a proven commercial execution track in IoT and automation.
Julien Boriasse
Julien Boriasse, Eng.
Head of Electronics
15+ years of hardware innovation; professor in embedded systems and expert in IoT device design, ensuring reliability and scalability.
Our mission

Turn machine data into action.

Most industrial equipment generates signals no one is listening to. Our mission is to make those signals useful โ€” to help industrial teams buy time before failure, and to be the bridge between physical machines and AI-driven operations. In short: we make industrial equipment think for itself.

We are not a sensor company and not a dashboard company. We exist to translate what a machine is doing into a clear next step a maintenance, operations, or plant leader can take today.

Physical machines
Motors, pumps, conveyors and lines already on the floor
Real operational signals
Vibration, temperature, electrical load, power, runtime โ€” plus your existing VFDs, PLCs and instrumentation
Action, not raw data
Clear health verdicts, recommendations and reports teams can use
Why now

The physical world is the missing data layer for AI.

There are millions of under-monitored industrial assets running with little visibility into their real condition. At the same time, AI is only as good as the real-world operational data it can learn from โ€” and most of that data is never captured.

IoT Octopus is the physical data layer that closes this gap: capturing reliable, real-world signals from the equipment that actually keeps industry moving, and making it usable by people and by AI.

1

Under-monitored assets, everywhere

Millions of motors, pumps, and lines run today with no continuous view of their health or efficiency.

2

AI needs real-world data

Operational intelligence depends on reliable signals from the physical world โ€” exactly what most plants never collect.

3

We are the physical data layer

IoT Octopus captures and structures that real-world data so it can drive both human decisions and AI-driven operations.

What makes us different

An engineering company, not a point tool.

We own the path from the machine to the recommendation โ€” which means value from day one and a foundation that gets smarter over time.

Hardware + software in one

We build the device and the intelligence layer together. That tight pairing means a plug-and-play install and a platform tuned to the signals we actually capture โ€” no integration project, no guesswork.

AI-native and outcome-focused

AI is built into how the platform works, described by the outcome it delivers: a clear health verdict, a recommended action, a report leadership can read in a minute โ€” not raw data to interpret.

Day-1 value from physics

Using nameplate and engineering physics, we deliver useful health insight from the first day โ€” before historical data has had time to accumulate. As real data builds, the picture only gets sharper.

How we build

Built on Google Cloud, with trust by design.

Our platform runs on Google Cloud, giving us enterprise-grade infrastructure, security, and scale from the start. We design for responsible AI and customer data isolation โ€” your equipment data is yours, kept separate, and used to serve you.

Google Cloud foundation

Enterprise-grade infrastructure, security, and scalability underpin every part of the platform.

Per-customer data isolation

Each customer's equipment data is kept separate and private โ€” not pooled across accounts.

Responsible AI

AI is applied to deliver clear, accountable outcomes โ€” recommendations teams can understand and trust.

See IoT Octopus on your equipment

Book a 20-minute demo or deploy on your most critical asset.