Numnio is an AI copilot platform for manufacturing. It ingests camera feeds and machine telemetry, runs analysis through our AI stack, and delivers operator-ready insights into your existing MES/SCADA stack.
Connects to existing line cameras. Every frame is screened by a lightweight local model; ambiguous or critical frames are escalated to our vision models for classification and explanation. Outputs a defect record: {type, severity, confidence, cause, action}.
Consumes vibration, temperature, current, and acoustic telemetry. Detects anomalies against learned baselines, then uses AI reasoning to correlate across machines and draft a maintenance brief with the likely failing component and suggested window.
Tracks yield and throughput per line in real time. When drift is detected, our analysis engine reviews the recent parameter history and suggests setpoint adjustments with rationale and expected impact. Engineers approve changes; YieldPilot applies them through the MES integration.
| Capability | How we use it |
|---|---|
| Claude Code | Writing, reviewing, and refactoring the platform’s code and ML pipelines |
| Design assistance | System architecture and data pipeline design; trade-off analysis |
| Docs & testing | Drafting API docs, test plans, and specs |
| Prototyping | Fast experiments and proofs of concept for new features |