Private / Local AI
AI inside a closed perimeter — local models, a gateway, data classification and security requirements.
01 · The problem
Security forbids sending code and data to external services — and it is right. But a ban without an alternative means people use AI anyway, just out of sight.
There is an alternative: an environment where sensitive data is processed by local models, and the company itself sets and enforces the rules for data transfer.
02 · When you need it
- AI tools are banned or restricted by the security team
- Code and data must not be sent to external services
- There are requirements from regulators or customers, or industry restrictions
- You need to control AI costs and vendor dependence
03 · What we analyze
- Data classes and the rules for handling them
- AI use cases and model quality requirements
- Available infrastructure and its cost
- Security, audit and access control requirements
- Which tasks local models can handle and which they can't — honestly
04 · How we work
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step 01
Requirements
Together with the security team we define data classes and rules — what may go where and to whom.
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step 02
Architecture design
A model gateway, routing by data class, audit, secret protection, access control.
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step 03
Model selection
We test local models on your tasks and your code — not on someone else's benchmarks.
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step 04
Rollout
A pilot with one team, then scaling with rules and metrics.
05 · What you get
The exact set of deliverables is agreed after the diagnostic. I don't promise effect figures in advance — they depend on the starting point and are written into the plan as criteria.
- 01An AI usage policy and data classification
- 02Architecture of the private AI environment
- 03Results of model testing on your tasks
- 04Infrastructure requirements and a total cost of ownership estimate
- 05A rollout and scaling plan
Related services
Next step
Let's discuss your project
Tell me what is happening with your development and what you expect from AI. I reply personally and suggest a format — a diagnostic, an audit or a consultation.