For the technology leader who answers to the regulator
AI that runs inside your boundary, logs every step and keeps a person accountable for decisions.
The problems we hear most
- Policy forbids sending data to outside AI services
- Auditors ask how a decision was made and nobody can show them
- Shadow AI use is spreading faster than your policy
- Vendors promise compliance they cannot document
What we build for you
- Private, on-premise or in-country deployment with open-weight or contracted models
- Audit logs, role-based access and data-flow documentation your reviewers can read
- Red-teaming for prompt injection and data leakage
- Human sign-off built into every high-impact step
What the first four weeks look like.
Week 1
Map data flows and rules with your security and compliance teams, and agree what must stay inside
Week 2
Reference architecture and a risk register for the first use case
Weeks 3 to 4
Build the pilot inside your boundary and run the red-team exercise
Timelines depend on data access and approval speed. We confirm them on the strategy call.
Services most relevant to you
Private and Sovereign AI Deployment
AI that runs where your data must stay: on your servers, in your private cloud or inside your country, with access control, audit logs and monitoring.
Learn more →AI Evals, Red-Teaming and Guardrails
Know whether your AI works before you ship it, and keep knowing after: evaluation suites, red-teaming, guardrails and live monitoring.
Learn more →RAG & Enterprise Knowledge Assistants
Private assistants that answer from your documents with citations, permission-aware retrieval and measured accuracy.
Learn more →Which of these sounds like your week?
Pick the closest problem. An engineer replies within one business day with how we would start and what the first month would leave you with.
- A first-month plan for your role
- What we would build and what we would leave out
- An honest view on whether now is the time