We build private AI and computer-vision systems that turn video, technical documents and operational data into useful decisions — at the edge, on-premise or in your private cloud.
No generic AI transformation programme. We validate the data, define a success metric and build a fixed-scope pilot before production investment.
Add useful detection and measurement to existing cameras without sending every video stream to a public cloud.
Give employees verified answers from internal documents while keeping sensitive knowledge inside your chosen infrastructure.
Each engagement is narrowed to one workflow and agreed evaluation data. These are examples, not one-size-fits-all packages.
CV.01Detect missing PPE or entry into defined restricted zones.
CV.02Measure vehicles, people, packages, occupancy or production cycles.
CV.03Identify selected, consistently visible defects under controlled conditions.
AI.01Find relevant procedures and manual sections with source references.
AI.02Classify, extract and route recurring technical or administrative documents.
AI.03Search contracts, service histories or quality documents without public AI tools.
A short qualification call confirms whether the problem is suitable. Technical work begins only after scope, data access and success criteria are clear.
20–30 minutes to understand the process, owner, data and business value.
We inspect sample video or documents, define feasibility, risks and a measurable pilot plan.
One use case, representative data and an agreed evaluation report — not an endless prototype.
Edge hardware, private infrastructure, integrations, monitoring and support where justified.
We will say early when computer vision or private AI is not the right tool.
We choose the deployment model around privacy, latency, connectivity and support requirements — not around a preferred cloud vendor.
Analyse camera streams close to the source and send events instead of raw video.
Run models and document search inside customer-controlled infrastructure.
Use an isolated environment when remote access and managed scaling are required.
Document architecture, evaluation results, limitations and the path to production.
Send us the current process, available video or document examples, and the decision you want the system to support. We will tell you whether a focused pilot is realistic.
Email your pilot brief →