Octopus offers a rugged, non‑invasive sensor that captures four‑axis magnetic and electrical data from industrial machines in real time and streams it to the Reef analytics platform.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial machines generate magnetic and electrical signals that can indicate impending failures, but traditional monitoring solutions are often single‑signal, invasive, and difficult to integrate with existing plant systems, leading to missed early warnings and costly unplanned downtime.
Solution
Octopus provides a rugged, single‑sensor hardware package that captures four channels of magnetic and electrical data in real time (up to 26.7 kHz) from any machine on the shop floor. The data is streamed to the Reef analytics platform, where a physics‑grounded digital twin and machine‑learning models correlate multi‑axis signals to predict failures. Reef translates the raw sensor evidence into plain‑English work orders that specify the asset, subsystem, required action, and deadline, enabling maintenance teams to act immediately. The solution integrates with existing SCADA, SAP, CMMS/EAM, OPC UA, and MQTT infrastructures, and is offered under a per‑asset payback model with a defined pilot‑to‑production pathway.
Target Audience
Primary customers are maintenance and reliability engineers in food‑and‑beverage manufacturing, as well as other process‑intensive industries seeking predictive maintenance for critical production lines.
Features
- IP69K‑rated, non‑invasive sensor designed for washdown environments and easy mounting on existing equipment
- Four‑axis, 4‑channel real‑time sampling at 26.7 kHz for high‑resolution magnetic and electrical signal capture
- Multi‑signal correlation engine and physics‑based digital twin that improves prediction accuracy over single‑signal approaches
- Reef dashboard provides action‑first alerts, severity scoring, time‑to‑failure estimates, and plain‑English root‑cause work orders
- Seamless integration with plant IT via OPC UA, MQTT, SAP, SCADA, and CMMS/EAM systems
- Pilot methodology that defines a specific downtime cost target per asset and includes a walk‑away clause if ROI is not met