A private AI workspace for an education publisher
A controlled workspace for knowledge work across a large publishing catalogue.
All services
Private and on-premise enterprise AI
Source-linked enterprise AI on governed company knowledge, with private cloud and on-premise deployment options.
The workflow comes first.
Private enterprise AI needs more than a model endpoint. We connect company knowledge, establish access boundaries and design retrieval workflows so answers can be reviewed against the records used. Deployment is scoped around your infrastructure and security constraints.
What the engagement can cover
- Connect documents and internal knowledge to source-linked answers.
- Enforce permissions at the data layer.
- Choose cloud, private cloud or on-premise deployment during scoping.
- Evaluate retrieval and answers with representative company data.
How we deliver
We map systems and constraints, agree acceptance criteria, build in milestones, validate with real data, and plan deployment and hypercare. Your written engagement defines scope, ownership and support.
See our delivery processRelated work
Each case study identifies its delivery stage, including work that is proposed or still in delivery.
Connecting operational data for a minerals business
A governed data foundation that turns years of operational records into decision intelligence.
Planning private AI across manufacturing systems
A private architecture for connecting enterprise systems while keeping workloads within the manufacturer's control.
Questions about this service
Can this run on our own servers and GPUs?
On-premise and GPU deployment is an available delivery path. Model choice and capacity depend on your hardware, workload and operating constraints.
How do users verify an answer?
The workflow can present supporting sources and keep missing evidence visible. We agree evaluation and acceptance criteria before delivery.
Start with one useful workflow.
Bring us the systems, constraints and outcome you want to improve.