One platform, from the sensor to the system of record.
Connect any system, discover the real processes across OT and IT, deploy governed AI digital workers, prove them continuously, and govern every action, with a live, seeded demo you can explore right now.
A living knowledge graph across every system.
Manifest-driven connectors bring in your SaaS, ERP, HR, databases, and the plant floor. Records normalize into entities and relationships, so you get one model of how your operation actually runs.
- 68-connector catalog: IT systems + OT machines
- Entity + relationship extraction with source traceability
- Asset twins that span the graph
Discover the as-run process from raw machine telemetry.
Ingest over OPC UA, MQTT Sparkplug B and MTConnect, then rediscover the real technological flow, where reality diverges from the master recipe, where the bottleneck is, and which asset is degrading.
- Live edge ingestion, no data hand-labeled
- Conformance vs. master recipe + bottleneck
- Condition monitoring / predictive maintenance
Live gauges and 24h–90d history, model-ready.
Every machine gets its own view: temperature and spikes, vibration and its dominant frequency, RPM, flow, reservoir level, throughput, recorded continuously and exportable to train anomaly, RUL and forecasting models.
- Per-signal history: 24h · 7d · 30d · 60d · 90d
- Vibration frequency spectrum for bearing defects
- Training-ready CSV export
Human-in-the-loop, with autonomy that's earned.
Every pending action arrives decision-ready, the agent's measured track record, the risk, and a recommendation. Deciding feeds the human signal back into the ledger that governs each agent's authority.
- Risk-tiered approval inbox
- Agent trust + earned authorization
- Notifications to Slack / Teams / PagerDuty
Continuous evaluation and regression gates.
Self-improvement is only credible if it's measured. Every agent runs against golden scenarios, including the negative cases, with a hard invariant against unsafe actions and a gate that blocks any regression.
- Golden scenarios with a safety invariant
- Per-agent scores vs. baseline
- Earned-autonomy learning curve
One pane over the whole operation.
Detected processes, quantified automation opportunities, digital workers, pending approvals and the agent fleet, the operating picture from the plant floor to the back office, in one place.
- Detected processes + ROI opportunities
- Digital workers + executions
- Fleet, runtime & control tower
Fifteen modules. One governed operating layer.
Explore the live platform.
Step into a fully-seeded workspace and run a governed digital worker in under a minute, no signup.