Everything has a normal.

GangoAI finds where normal ended.

The signal before the failure. The explanation before the outcome.

Human

Mechanical

Infrastructure

Clinical

Operational

Commercial

Why it's different

Other platforms need your history. Your experts. Your training runs.

GangoAI doesn't.

No training data required

Point it at any system. It learns what working looks like from live data. No historical failures needed.

No domain expertise

We don't need to understand your industry before we can watch it. The algorithm doesn't either.

One architecture. Anything that operates.

Physical or otherwise. If it has a normal, we can find when it ended. Same machinery underneath, regardless of what it's watching.

The result: earlier intervention. Less downtime. Fewer incidents. In any environment you point it at.

Domain coverage

Proven across every domain. Rebuilt for none of them.

Human

Mechanical

Infrastructure

Clinical

Operational

Commercial

If it operates, we can watch it.

The same three steps. Every time. Every domain.

Observe

Any data input. A sensor stream, a session, a checkpoint. The source doesn't matter. The format doesn't matter.

Learn

Establishes what working looks like for that specific input. Not a population average. Not a threshold. That driver. That engine. That patient.

Alert

When something shifts from what working looked like - you know. Before the incident. Before the failure. Before the diagnosis.

Built for high-stakes environments

Built for rooms where the answer has to be right.

Defence. Clinical. Infrastructure. Insurance. Every signal GangoAI produces traces to a specific measurement about a specific input. No black box. No inference. Show your working in any room - a courtroom, a boardroom, an incident review.

Deterministic outputs

Fully auditable

Patent pending GB2521498.2

Everything has a normal.

Find out what GangoAI sees in yours.