MINVALEEV / Private infrastructure
Private infrastructure for software and AI
Where software runs affects who can access data, how it is maintained and how work resumes after an interruption. MINVALEEV helps define and implement a suitable environment for an agreed software or AI workflow, including local and private deployment options.
Check where data is stored and processed
We map application data, model requests, search indexes, logs, backups and external services. Together, we decide which components need to remain under your control and which dependencies are acceptable. A local model alone does not make the whole system local.
We specify who can administer the system, how access works, who installs updates and how long data is kept. Model capability, hardware needs and interfaces must be checked against the actual workload.
the work continues.
Agree what happens after installation
Recover the application and configuration from a backup. Check the agreed task with test data.
An implementation scope can include environment configuration, deployment instructions, access controls, backup configuration and a restore test using an agreed test dataset. We agree who monitors the system, applies updates and handles incidents. Hosting location and support arrangements are project decisions, not assumptions.
Test recovery and data flows
We test outgoing connections, access restrictions and stored data, as well as restoring the application and its configuration. The handover documents external processing and how to continue manually if a component fails.
Local or private deployment can support a privacy strategy, but it does not by itself establish GDPR compliance. Legal requirements and the actual processing arrangements need their own assessment.
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