Nathaniel House
Chief Executive Officer
Background in controls engineering and industrial controls design. Owns product direction, customer conversations, and the path from prototype to pilot.
nathaniel@innovaharmonics.comIndustrial AI doesn't have a model problem. It has a data problem. That's the one we're solving.
Innova-Harmonics started where four engineers' backgrounds converged. Nathaniel was building industrial controls. Paul was hardening mechanical assemblies for washdown environments. Andrew was wiring up sensor-rich robotics. Micah was building models on data that mostly wasn't there.
The honest answer to "why doesn't this monitoring system exist yet?" was that nobody had assembled all four disciplines under one roof and pointed them at the same problem. So we did.
Each of us has shipped the hardest part of this stack before — just not under the same logo. That's the bet investors and pilot partners have responded to, and it's why the technology is sound from the bench up: the people who designed the sensor are the people who've already designed every layer of it, in production, somewhere else.
We're headquartered in Springdale, in the heart of Northwest Arkansas — minutes from Tyson Foods, Walmart, and J.B. Hunt, and a short drive to the University of Arkansas. The region is one of the densest food-and-beverage manufacturing corridors in the country, which is exactly why our first commercial focus is right here, on the lines we can drive to.
NWA has also turned into one of the fastest-growing industrial-tech regions outside the coasts. Walton-backed initiatives, Plug and Play's NWA outpost, and Heartland Forward have built a real ecosystem around IIoT, advanced manufacturing, and supply-chain software. Our customers are five exits down the freeway. So are our peers.
Most reliability monitoring picks one signal and tries to win by processing it harder. We take a multi-channel view of the machine and let cross-channel correlation do the work that single-channel models can't. A bearing that's about to fail rarely fails on one axis first. It drifts across several, and only the correlation makes the call early.
Underneath the sensor, every machine we instrument becomes a node in a physics-grounded digital twin. The twin doesn't replace the data — it explains it, gives operators a model they can interrogate, and gets sharper every hour the sensors run.
See the sensor on the Octopus page, or open the live Reef dashboard ↗ to watch a deployment in motion.
Cofounders only. Portraits are placeholders — real ones drop in shortly.
Background in controls engineering and industrial controls design. Owns product direction, customer conversations, and the path from prototype to pilot.
nathaniel@innovaharmonics.comOver 15 years of mechanical design in industry, with deep specialization in IP69K washdown environments — the reason food and beverage is our first market. Owns the physical design of the sensor and its survival on the line.
paul@innovaharmonics.comMaster's in data science at UC Berkeley. Builds the machine-state models that turn raw sensor streams into something an operator can act on.
micah@innovaharmonics.comFive years of electrical design across robotics and IIoT. Owns the boards and signal chain that feed Micah's models clean, well-conditioned data.
andrew@innovaharmonics.comThe longer the sensors run, the larger the dataset of physically-grounded industrial behavior we accumulate — and that dataset is the actual long-term product. Hundreds of machines and millions of instrumented hours give the AI systems built on top of us something they currently don't have: physics-faithful ground truth.
A world model for industry, built one sensor at a time.
Pilots in Northwest Arkansas food and beverage. Multi-channel sensing, dashboarded evidence, plain-English diagnostics.
Power generation, pulp and paper, pharma, and other process-heavy industries as Octopus matures and the data substrate scales.
Retrofit planning. Asset management. ERP audits. Downtime-insurance underwriting. The workflows that physics-grounded data unlocks but nobody has built yet.
An open substrate of physics-faithful industrial data — the layer the next generation of industrial AI gets built on.
Pilots, partnerships, advisory intros, or just curious. Pick whoever fits — we all read our own email.
Drop a note here. It lands in our shared queue and we will route it to whoever should answer.