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GangoAI is a personal-baseline drift detection platform. It learns what working looks like for any person or asset - and detects when something is changing. Before it becomes a problem.
GangoAI doesn't.
No domain experts. No training runs. No historical failure data. Point it at any system and give it time to learn what working looks like.
The same algorithm that detects a fatigued driver detects a failing turbine. A degrading battery. A deteriorating patient. We didn't build fourteen products. We built one.
Every output traces to a specific measurement. No black box. No inference. Deterministic, auditable, and explainable in any room.
GangoAI was founded by a former British Army Physical Training Instructor who spent years watching behaviour change before incidents happen - and finding that nobody had a way to measure it. The intoxication detection algorithm was first built and validated at GangoBar, an automated bar business, before it became clear that the same underlying logic worked everywhere else.
Backed by Innovate UK and part of the NVIDIA Inception Programme, GangoAI has now validated its algorithm across 14 domains - human physiology, industrial equipment, energy infrastructure, clinical systems, and data infrastructure. The team combines expertise in human physiology, algorithm design, and applied research.
Proven across 14 domains. Zero modifications between them. One framework. Every environment.
Find out what GangoAI sees in yours.
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