AI and data engineering
We develop AI solutions for production analytics, anomaly detection and enterprise knowledge retrieval. Data access, privacy, validation methods and decisions requiring human approval are defined at the start.
Solution scope
From operational data to validated decision support.
- Data sources, access boundaries and quality assessment
- Pilot implementation of model-based or rule-based solutions
- Reference testing, monitoring and human approval workflows
From requirements to acceptance
The initial review establishes the existing system, required outputs and technical constraints. Scope, equipment, software, integration, test criteria and handover documents are itemised in the written proposal. Procurement, licences, site work and maintenance are priced explicitly for each project.