The Industrial Intelligence Suite consolidates sensor, SCADA, MES and ERP data into a unified, cloud‑native analytics platform. It combines real‑time streams with physics‑based digital‑twin simulations and machine‑learning models to deliver predictive insights and prescriptive recommendations for equipment health, energy use and production yields. Engineers access results via secure dashboards, APIs and edge compute for low‑latency monitoring and automated alerts.
Funding
$6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
YBFounders
Product
Problem
Industrial facilities often operate with siloed sensor data and legacy control systems, limiting real‑time visibility into equipment performance and process efficiency. This fragmented information hampers proactive maintenance, slows decision‑making, and makes it difficult to predict operational outcomes under varying conditions.
Solution
The Industrial Intelligence Suite aggregates data from connected devices, SCADA, ERP and other plant systems into a unified analytics platform. It applies machine‑learning models together with multi‑domain physics simulations to generate predictive insights about equipment health, energy consumption and production yields. Prescriptive analytics then recommend optimal set‑points and operational adjustments to improve efficiency and reduce downtime. Results are delivered through secure, cloud‑native dashboards and APIs that integrate seamlessly with existing workflows, enabling engineers to act on insights in real time. The platform supports edge processing for low‑latency data handling and enforces role‑based access and end‑to‑end encryption to protect sensitive industrial data.
Features
- Scalable data ingestion framework that connects to OT/IoT sensors, PLCs, MES and ERP systems via standardized connectors
- Digital‑twin model that fuses real‑time sensor streams with physics‑based simulations for accurate forecasting
- Predictive analytics engine that predicts equipment failures, energy spikes and production bottlenecks
- Prescriptive recommendation engine that suggests optimal operating parameters and maintenance schedules
- Real‑time monitoring dashboards with customizable KPIs, trend visualizations and alert thresholds
- Secure, cloud‑native architecture with edge compute options and role‑based access control
- Open APIs and FHIR‑compatible interfaces for seamless integration with legacy industrial software
- Built‑in anomaly detection and automated alerting to notify operators of out‑of‑spec conditions