AI built around your data and access rules
AI built around your organisation's data, identity and access rules — so a system that starts in one team can be extended to others without rebuilding security and infrastructure each time.
Technology we build with
Designed so the second use case is easier than the first
A first AI project can be built in isolation. The difficulty comes later, when a second and third team want their own — and each rebuilds identity, access control, logging and cost tracking from scratch. We design the shared layer up front: a common gateway, your existing identity system, policy and audit, so each new use case plugs into infrastructure that already exists.
- A reusable reference architecture that new use cases plug into on day one
- Centralized model gateway with routing, rate limits and unified cost accounting
- SSO, RBAC and multi-tenant isolation aligned to your identity and data policies
- Governance, audit and policy controls that satisfy security and compliance teams
What we instrument
Agent monitoring
Resolution rate
Response latency
Satisfaction
The foundation each use case builds on top of
Shared services designed once, so each new use case is about the business problem rather than the plumbing.
Reference architecture
A blueprint your team can follow, so each new use case becomes a repeatable deployment rather than a fresh design exercise.
Governance & policy
Centralized policy, approval and audit controls that give security and compliance real oversight.
SSO & RBAC
Enterprise identity, role-based access and multi-tenant isolation wired into every AI service.
Model gateway
A single gateway for routing, rate limiting and cost accounting across every model and team.
Cost & FinOps controls
Per-team budgets, chargeback and usage analytics that keep AI spend visible and accountable.
Cross-team observability
Unified tracing, evaluation and monitoring across all AI workloads for reliability and compliance.
Everything needed to run AI across the enterprise
The capabilities that make AI repeatable and governable across an organisation.
Evaluation-driven
Every build ships with an evaluation suite, so quality is measured rather than asserted.
Deployed your way
Your cloud account, VPC or on-premise — including open-weight models where data cannot leave.
Source-code handover
You receive the code and the documentation. No lock-in to us to keep it running.
Human in the loop
Approval gates and review queues wherever an automated mistake would be costly.
Common questions
Because security, identity, cost controls and observability only need solving once. Solve them per-app and you rebuild the same plumbing every time, with a different set of mistakes in each. Solve them once and each new use case starts from a known-good baseline.
Build the platform your AI ambitions need
We will design a reference architecture and governance model your teams can build on.