The challenge
Sensitive information needs explicit processing, permissions and traceability design. Some workloads allow controlled connectivity; others require isolation. Models, data, evaluation and operations are designed together.
Our approach
- Classify use cases by value, sensitivity and connectivity; define quality and risk measures.
- Size CPU/GPU and deploy inference using models with evaluated licences and behaviour.
- Connect documents and data through RAG with permissions, citations, logging and answer tests.
- Govern versions, evaluation, promotion and rollback; control artefact imports in isolated environments.
Use cases
- Private document assistant with sourced answers and user permissions.
- Scoring and anomaly detection alongside Kafka/Flink, with registered models and drift evaluation.
What we deliver
- Architecture, model cards and licences, evaluation and update and recovery procedures.
- Data platform integration and training for users and operating teams.
Versions, licences, compatibility, support coverage and service targets are agreed after reviewing the environment. Sizing and results are validated with representative workloads and tests.