How Innova-Harmonics works
Unplanned downtime costs industries an estimated $50 billion each year.1 Low-maturity, often single-signal predictive maintenance systems claim to help, but typically only deliver reliability benefits at a rate of 10% or less2 when compared to the alternative: expensive, invasive, fully-scaled outfits.
Innova-Harmonics delivers where other systems price high or fall short.
Meet the Octopus, Reef, and Nautilus from Innova-Harmonics, industry's solution to single-sensor guesswork.
A four-signal, multi-node system that attaches easily to any machine while it runs and operates alongside equipment you already have. No changes to pre-existing controls, complete VFD cross-functionality, and the ability to plug directly into the resources you use every day for communication and floor management.
Sense — The Octopus
One node. Four signals. Four captures. The Octopus hears, feels, sees, and reads everything. Magnetic, acoustic, thermal, and vibration, from ultrasonic frequencies to flux. Its IP69K compliant casing is wash-down safe in any environment, and a low profile makes every node easy to install for precision data-gathering.
Diagnose
One machine picture. Millions of raw datapoints flow through the carefully calibrated data pipeline that supplies The Nautilus, your new factory interface. The Nautilus turns raw numbers into plain-English diagnostics that your team sees instantly. Every machine gets a health rating and a digital twin that shows you what part needs maintenance when.
Act
The Nautilus doesn't just show you the issue, it outlines the fix. We provide real, actionable steps you and your team can take to make sure every machine on your floor is well-maintained and running at full throughput. Not sure who to call? We'll contract out the repairs ourselves, or let your favorite agent, human or AI, take the lead.
Learn
Every signal makes the next diagnosis sharper. Every second of raw data our sensors collect becomes a new piece of essential information for better maintenance, better throughput, and longer asset lifespans. Data scarcity is a real problem in physics-informed fields, making process-heavy industry hard to study and harder to optimize. What we learn now defines the future of machine management, from deepening integration to world-modeling.
Join our wait-list.
The Octopus is growing every day, join our wait-list here for regular updates and early opportunities to scope a pilot or get a baseline.
- 1Deloitte, “Making maintenance smarter: Predictive maintenance and the digital supply network”, Deloitte Insights, 2017 — “unplanned downtime costs industrial manufacturers an estimated $50 billion each year.”
- 2McKinsey & Company, “A smarter way to digitize maintenance and reliability”, April 2021 — lower-maturity predictive-maintenance systems “typically deliver only a fraction of the benefits (10 percent or less) of a fully-scaled system.”
Field notes from the reef.
Once a month: signal-processing teardowns, real failure modes from real plants, and the engineering behind the Octopus. Written by the team building it.