Industrial AI · In stealth

AI-native intelligence and resilience for industrial operations.

The agentic reliability OS for industrial operations.

GoLeap’s AI agents investigate what changed on critical production assets. People approve every response, and the outcome is verified. Anyone acting outside their authority — a person or an AI — is flagged.

Start a conversation See the problem

Agentless at the asset · Governed by the plant

Signal fieldOperational context

Evidence retainedAction governed

Agentic workflows across industrial signals

The problem

One fault. Four teams.
No shared record.

Equipment changes constantly, and AI tools now act on plant systems too. The evidence of what changed on a machine, who was authorized to change it, and what happened next sits in separate maintenance, operations, access, and security systems. Teams reconcile those records by hand before anyone can decide anything.

GoLeap’s mission is to give industrial teams one record for every change to a production asset: the actor, the authority, the verified outcome — and what each critical machine should be restored to.

30%

of incident-response cases began as unexplained operational issues, and most led to a week or more of outage.

82%

of asset owners lack criteria for when an operational anomaly becomes a cyber investigation.

73%

of incident-response cases involved compromised VPN or jump-host credentials.

An hour of unplanned downtime costs up to $150,000 at smaller manufacturers, and $2.3 million in automotive. All figures are from published industry research.

The platform

Three questions a plant has to answer.

An alert, a revised work order, new asset data, an access event, or a vendor advisory can start an investigation. Underneath all three questions sits one cross-team case record, so an answer to any of them is supported by the same evidence.

01 / INVESTIGATE

What changed, and why does it matter?

Bring maintenance, operating, software, access, and security evidence together around one machine. Compare possible explanations, check what would tell them apart, and revise the finding as evidence arrives.

02 / GOVERN

Who or what may act, and did it work?

Every response is requested, approved by a named person, and verified against fresh evidence. A closed ticket is not proof that a machine recovered.

03 / DEFEND

Is a person or an AI acting outside its authority?

Changes outside approved scope, access that shouldn’t exist, and agents reaching beyond what they were permitted to do — each checked against what was actually allowed.

Illustrative investigation · 01 Investigate

Authorized. And still not running right.

A CNC machine starts reporting faults after an approved software update. The work was authorized and matched its approved scope — and the machine is still not running as it should. While it is held back, the line loses output.

Connect the records. Bring the machine’s fault reports, approved work, installed software, maintenance history, and access together in one place.
Weigh the explanations. Compare the software update, the configuration, and component wear, rather than assuming the most recent change is the cause.
Revise as evidence arrives. New information can weaken one explanation and strengthen another, and the finding changes with it.
Govern what happens next. A named owner decides the response, and the outcome is confirmed rather than assumed.

Designed for industrial reality

Intelligence the plant can trust.

Plants run on safety, uptime and equipment nobody wants touched. Those constraints shape GoLeap’s design from the start.

Customer-controlled deployment

GoLeap connects to a plant from inside the customer’s own environment, and nothing leaves without the customer’s approval. Each deployment defines where data is processed, who can access it, and which transfers are permitted. It is designed to keep working if a plant has to isolate itself.

Agentless at the asset

Nothing is installed on controllers or production equipment. GoLeap works from passive, customer-approved data sources, and its investigations run inside your environment.

Evidence before inference

Every claim links to its source, and observations are kept apart from explanations. The same evidence always produces the same finding, and anything missing or contradictory stays visible.

Governed by the plant

People and policy govern every action that affects operations, whether a person or an AI proposes it. GoLeap takes no action on a plant system without explicit, scoped authorization.

Designed to integrate

Works with the systems you already run — OT, security, maintenance, identity and enterprise. It reads them and replaces none of them.

Share your perspective

We’d like to learn from your experience.

We welcome conversations with manufacturers, industrial operators, and technology partners across the U.S. and UK about how their teams investigate change, maintain equipment, and coordinate responses.

Critical-parts manufacturers
Smart factories
Engineering & maintenance teams
OT & security leaders
Reliability teams
Technology partners