MachineMetrics provides an AI‑enabled Manufacturing Execution System that unifies data from machine sensors, ERP systems, and operator inputs into a real‑time data lake. The platform delivers live production visibility, condition‑based alerts, predictive maintenance, and automated scheduling to improve OEE and on‑time delivery for discrete manufacturers.
Funding
$20M 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.
TFounders
Product
Problem
Discrete manufacturers often operate with fragmented data sources—machine sensors, ERP systems, and undocumented shop‑floor knowledge—resulting in blind spots, delayed reaction to equipment failures, and sub‑optimal production scheduling. Without real‑time, unified visibility, downtime and inefficiencies increase, limiting overall equipment effectiveness (OEE) and on‑time delivery.
Solution
MachineMetrics delivers an intelligent Manufacturing Execution System (MES) combined with AI‑driven machine monitoring that aggregates data from any make or model of equipment, ERP platforms, and operator inputs into a single, real‑time data lake. The platform normalizes and enriches this data to provide instant production visibility, automated work‑order tracking, and condition‑based alerts. Built‑in predictive maintenance models identify emerging faults before they cause downtime, while automated scheduling algorithms continuously adjust production plans based on current capacity and demand. Users access configurable dashboards, KPI reports, and API endpoints to drive continuous improvement across production, operations, maintenance, and executive teams. The solution scales from a single line to enterprise‑wide deployments through cloud and edge architectures, supporting both legacy and modern CNC environments.
Target Audience
Primary customers are discrete manufacturers in sectors such as aerospace, automotive, contract manufacturing, heavy machinery, medical devices, and oil & gas, including production, operations, maintenance, and scheduling teams that require real‑time shop‑floor intelligence.
Features
- Universal connectivity hub that plugs into any machine (CNC, manual stations, legacy assets) and streams high‑frequency telemetry to the cloud or edge platform
- Clickable ERP connectors and open REST/GraphQL APIs that synchronize shop‑floor data with major ERP systems in real time
- AI‑powered OEE and production analytics that surface bottlenecks, under‑utilized assets, and waste without manual data entry
- Predictive maintenance engine using machine‑learning models to forecast component failures and generate work‑order recommendations
- Automated, data‑driven production scheduling that continuously optimizes work‑in‑process flow and on‑time delivery targets
- Customizable dashboards and alerting rules for operators, supervisors, and executives, with role‑based access controls
- Out‑of‑the‑box reports, templates, and workflow builders that can be extended via a developer portal for bespoke applications