DLG Labs
Introducing autonomous repair — now in early access

Autonomous systems that
repair themselves safely.

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.

Request access → See the platform
Hydraulic pressure anomaly detected in Unit 7 — fault probability 94%.
Autonomous repair sequence initiated. Rerouting flow, isolating fault.
Unit 7 restored. Zero downtime. Repair log generated for review.

Deployed across industries

⚙️
Aerospace
🏭
Manufacturing
Energy & Grid
🚗
Automotive
🏗️
Infrastructure
🛰️
Defense & Space
🔬
Research Labs
🌊
Maritime
🏥
Medical Devices
🚂
Rail & Transit
⚙️
Aerospace
🏭
Manufacturing
Energy & Grid
🚗
Automotive
🏗️
Infrastructure
🛰️
Defense & Space
🔬
Research Labs
🌊
Maritime
🏥
Medical Devices
🚂
Rail & Transit
99.97%
uptime across deployed systems
< 200ms
fault detection latency
85%
reduction in unplanned downtime
0
safety incidents to date

Safe by design.
Autonomous by default.

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.

🔍

Fault Detection

Continuous sensor-level monitoring identifies anomalies before they cascade. Sub-200ms detection across thousands of concurrent data streams.

🛠️

Autonomous Repair

Verified repair sequences execute automatically — rerouting, isolating, and restoring systems with formally-proven correctness guarantees.

🛡️

Safety Verification

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.

👁️

Human Override

Full operator visibility at all times. One-click takeover, real-time repair logs, and configurable autonomy thresholds for every system.

📈

Predictive Maintenance

DLG's models learn from every failure event, building predictive profiles that flag degradation weeks before critical failure occurs.

🔌

System Agnostic

Deploy on existing PLC infrastructure, edge hardware, or cloud. Native support for SCADA, OPC-UA, MQTT, and industrial protocols.

Configure once.
Protect everything.

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 →
1 system HydraulicUnit7 :
2   monitors: [pressure, temp, flow_rate]
3   safe_repair: true
4   escalate_if: "confidence < 0.95"
5   # Verified. Autonomous. Safe.
✓ Safety model verified · 3 sensors connected · Monitoring active

Reliability you can
measure on day one.

DLG's repair engine is benchmarked across real industrial fault scenarios. See exactly how autonomous repair stacks up against manual intervention.

View benchmarks →
Fault detection rate
99%
Repair success rate
94%
False positive rate
0.3%
Human escalations
6%
Downtime prevented
85%
Benchmarked across 4,800 real fault scenarios in industrial deployments · May 2026

Deployed and protecting
in three steps.

No six-month integration. No specialized robotics team required. DLG Labs is built for operations teams that can't afford downtime.

01

Connect your systems

Integrate DLG with your existing sensors, PLCs, and SCADA systems via standard industrial protocols. No custom hardware required — works with what you already have.

02

Define your safety envelope

Specify system constraints, repair thresholds, and escalation rules in plain language. DLG's safety verifier formally checks every rule before it goes live.

03

Monitor, repair, improve

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.

Operations teams that never
want to go back to manual.

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.

JK
Jordan Kim
Plant Manager, Meridian Manufacturing

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.

AS
Aisha Sterling
Chief Safety Officer, Arclight Energy

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.

MR
Marcus Reid
VP Engineering, Solaris Rail

Safer systems start
with DLG Labs.

Join the operations teams already using DLG Labs to prevent failures, reduce downtime, and build autonomous infrastructure that's safe by design.