Made provides an AI‑driven operating system that ingests real‑time telemetry from PLCs, sensors and vision systems to model normal line behavior and predict anomalies before they cause downtime. The platform delivers actionable operator instructions via web, WhatsApp or API and supports either low‑latency edge inference on NVIDIA Jetson devices or cloud‑based inference on existing industrial PCs, while tracking OEE and ensuring secure data handling.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturing lines suffer frequent unplanned breakdowns, micro‑stops, and quality defects that reduce overall equipment effectiveness (OEE) and increase operational costs. These issues are often invisible on traditional plant dashboards, making timely intervention difficult.
Solution
Made offers an AI‑driven operating system that continuously ingests edge telemetry from PLCs, sensors, and machine vision to model normal line behavior in real time. Predictive analytics detect anomalies and performance drift before they cause downtime. The platform then generates execution‑ready prescriptions—specific operator actions delivered via web, WhatsApp, or other channels—to prevent failures, reduce micro‑stops, and improve first‑pass yield. Made supports two deployment models: a dedicated NVIDIA Jetson Orin Nano edge device for sub‑10 ms, low‑latency inference, or a cloud‑based inference service that runs on existing industrial PCs via OPC UA. Both paths provide the same predictive engine, OEE tracking, and secure, encrypted data handling.
Target Audience
Primary customers are manufacturers operating high‑speed production lines—such as aseptic fill, precision PCB assembly, bottling, mineral processing, and injection molding—who need to minimize downtime, improve OEE, and provide operators with actionable guidance.
Features
- Real‑time edge telemetry collection from PLCs, sensors, and vision systems without modifying control logic or adding new wiring
- Predictive AI models that continuously learn line‑level normal behavior and flag deviations minutes before they cause downtime
- Execution‑ready action prescriptions delivered to operators through web dashboards, WhatsApp, or API integration
- Dual deployment options: on‑site NVIDIA Jetson Orin Nano (up to 67 TOPS) for deterministic low‑latency inference, or managed cloud inference for rapid rollout on existing hardware
- OPC UA API enables self‑installation on a plant’s PC or server in under an hour, eliminating the need for dedicated IT resources
- Encrypted TLS 1.3 communication and secure cloud storage ensure data integrity and compliance
- Integrated OEE monitoring aligned with ISO 22400 methodology, providing visibility into availability, performance, and quality losses