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Edgeweave

Edgeweave provides an edge‑deployed analytics platform that processes high‑frequency industrial sensor data on‑site, delivering sub‑second alerts and actionable insights for anomaly detection, predictive maintenance, and yield optimization. By integrating with common IoT protocols and offering offline operation with local dashboards, it enables manufacturers to reduce downtime and improve production efficiency without relying on cloud latency.

Montreal, CanadaFounded 202625+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Manufacturers often experience delays in detecting equipment issues because sensor data must be transmitted to cloud services for analysis, introducing latency and limiting real-time decision making.

Solution

Edgeweave delivers a real-time analytics platform that processes sensor data directly on the factory floor, eliminating dependence on cloud round‑trip times. By running inference and statistical models at the edge, the system provides immediate alerts and actionable recommendations to operators and maintenance teams. The platform integrates with existing industrial IoT sensors, aggregates data locally, and visualizes key performance indicators through on‑premise dashboards. This enables manufacturers to quickly address anomalies, reduce unplanned downtime, improve production yield, and schedule maintenance more efficiently.

Target Audience

Primary customers are manufacturers operating automated production lines, including plant managers, maintenance engineers, and operations analysts seeking real‑time operational intelligence.

Features

  • Edge‑deployed data processing engine that ingests high‑frequency sensor streams with sub‑second latency
  • Built‑in analytics modules for anomaly detection, predictive maintenance, and yield optimization
  • Compatibility with common industrial protocols (OPC-UA, MQTT, Modbus) for seamless sensor integration
  • Local visualization dashboard with customizable KPI widgets and real‑time alerts
  • Offline operation capability that continues analytics during network outages, syncing results when connectivity resumes
This profile is AI-generated and may contain inaccuracies.