DLG Labs is pioneering safe autonomous repair engineering — AI systems that detect, diagnose, and fix failures in real time, without putting humans or infrastructure at risk.
Innovate. Build. Impact.
Deployed across industries
The DLG platform combines real-time fault detection, verified repair logic, and human-in-the-loop overrides — so your systems stay up without putting anyone at risk.
Continuous sensor-level monitoring identifies anomalies before they cascade. Sub-200ms detection across thousands of concurrent data streams.
Verified repair sequences execute automatically — rerouting, isolating, and restoring systems with formally-proven correctness guarantees.
Every repair action is checked against a formal safety model before execution. If it can't be proven safe, it escalates to a human — always.
Full operator visibility at all times. One-click takeover, real-time repair logs, and configurable autonomy thresholds for every system.
DLG's models learn from every failure event, building predictive profiles that flag degradation weeks before critical failure occurs.
Deploy on existing PLC infrastructure, edge hardware, or cloud. Native support for SCADA, OPC-UA, MQTT, and industrial protocols.
Define your system topology and safety constraints once. DLG Labs handles real-time monitoring, repair orchestration, and audit logging — so your engineers focus on building, not firefighting.
See the docs →DLG's repair engine is benchmarked across real industrial fault scenarios. See exactly how autonomous repair stacks up against manual intervention.
View benchmarks →No six-month integration. No specialized robotics team required. DLG Labs is built for operations teams that can't afford downtime.
Integrate DLG with your existing sensors, PLCs, and SCADA systems via standard industrial protocols. No custom hardware required — works with what you already have.
Specify system constraints, repair thresholds, and escalation rules in plain language. DLG's safety verifier formally checks every rule before it goes live.
Go live with full autonomy or human-supervised mode. Every repair event is logged, reviewed, and fed back into the model — your system gets safer over time.
DLG detected a compressor fault before our own engineers noticed anything. The autonomous repair ran, logged everything, and we had zero unplanned downtime. That's never happened before.
What impressed me most is the safety model. DLG won't execute a repair it can't prove is safe — it escalates. That's exactly the behavior you need in critical infrastructure.
We cut our maintenance cost by 60% in the first quarter. But honestly the bigger win is that our engineers spend their time on real engineering, not chasing alerts at 3am.
Join the operations teams already using DLG Labs to prevent failures, reduce downtime, and build autonomous infrastructure that's safe by design.