Imantics · AI that learns a machine's normal — from fab tools to water networks
Autonomous Predictive Maintenance for industrial operations.
Operator-controlled autonomy — from recommendations to approved execution.
Learns each machine's healthy signature from the sensors already on it. Detects degradation at its earliest physically observable onset. Reasons about what to do — and acts at the autonomy level you set: recommend-only, approval-gated, or fully autonomous. Deployments begin recommend-only. Runs entirely inside the facility.
Built for this, deliberately. We described it in 2015 — the AI caught up in 2025.
Leading chipmakers have publicly committed to fully autonomous fabs by 2030 — production that runs with minimal human intervention, where equipment failures are predicted and handled rather than discovered. A factory can only run unattended if each tool can sense its own trouble, judge it, and act on it.
This direction is increasingly shaping equipment procurement requirements. Agent Athena™ is how equipment carries it.
Built first for semiconductor equipment — applicable wherever machines produce operational sensor data.
Continuous health from the tool's own sensors — no labels, no failure-model configuration
Failure mode, urgency, and the recommended action, with the reasoning recorded
Recommendation, approval-gated action, or autonomous execution — the level is set by the operator
Sensing and diagnosis are in production today. Action begins with recommendations — and extends from there at the pace you set.
Sources: public autonomous-manufacturing commitments and unmanned-line results announced by leading chipmakers, 2025–2026. Figures are the companies' own reported results.
Uses your existing sensors
Learns from normal operation
No labeled failure histories, manually tuned thresholds, or per-failure model engineering
Nothing leaves the facility
Sensor attribution, full audit trail
One intelligence platform — KAP. Two products built on it: the same self-supervised intelligence — learn normal, flag deviation, explain why — applied to two very different worlds.
Autonomous predictive maintenance for industrial equipment.