From Frontier Model to Enterprise Infrastructure.
We partner with frontier AI labs, enterprise consultancies, and heavily regulated organisations to design, build, and deploy robust end-to-end blueprints that bridge modern intelligence with legacy technical environments.
Foundational intelligence
ERP · Mainframe · On-premise data
The bottleneck is rarely the model.
When a frontier model reaches a listed corporate or a government department, the difficult work starts after the API call. The model is ready; the operational environment around it is not.
The integration chasm
Foundational models are ready. The infrastructure they land in is not. On-premise systems, mainframes, and scattered data pipelines were never designed to speak to modern intelligence.
The governance barrier
Listed corporates and government frameworks require deterministic systems, strict data boundaries, and clear audit trails before anything reaches production.
End-to-end execution
Inteeka steps in precisely where the lab’s API delivery ends, taking complete ownership of the UI/UX wrappers, mid-tier orchestration layers, and custom data pipelines.
Three blueprints for the bottlenecks that stall deployment.
Each one is a repeatable architecture, mapped to a specific procurement and infrastructure reality. Select a blueprint to see how we clear the bottleneck.
The Public Sector & Government Blueprint
Navigating strict data sovereignty, legacy mainframes, and complex procurement frameworks.
Air-gapped deployment architecture, rigorous data-masking pipelines, and compliance-mapped integration layers that align with UK public sector standards.
The Listed Corporate & Enterprise Legacy Blueprint
Siloed data sitting in legacy ERPs (such as SAP or Oracle) and undocumented monolithic codebases.
Deterministic middleware and mid-tier orchestration layers that expose legacy data safely to frontier APIs, without disrupting core operational stability.
The Tier-1 Consultancy Velocity Blueprint
Consultancies design the strategy but lack the rapid, specialised engineering depth to execute the end-to-end build phase before momentum stalls.
White-labelled engineering pods that embed directly with advisory teams to deliver high-fidelity production code, custom UI/UX wrappers, and rapid deployment pipelines.
How we map, architect, build, and harden.
A predictable, logical sequence that takes an enterprise AI programme from legacy audit to regulated production, safely.
- 01Phase 01
Architectural discovery
Auditing the existing legacy tech stack, identifying security boundaries, and mapping data dependencies.
- 02Phase 02
Deterministic blueprint design
Defining the orchestration layers, data preparation pipelines, and fallback mechanisms required to ensure system reliability.
- 03Phase 03
Agile production sprints
Building bespoke user interfaces and integration middleware, with weekly technical demos.
- 04Phase 04
Regulated deployment & hardening
Delivering zero-downtime integration alongside strict ISO-compliant security auditing and testing.
Engineered for procurement, audited to standard.
We build to the standards that listed corporates and public sector procurement teams already trust. Our operational foundation is independently certified, and our engineering discipline is built for the long term.
- Custom, intentional software engineered for long-term scalability
- Deterministic systems with clear audit trails and data boundaries
- No brittle templates and no generic wrappers
ISO 27001
Information security
ISO 9001
Quality management
SOC 2 readiness
Controls mapped for audit
GDPR compliant
Full data protection readiness
Let’s talk architect to architect.
If you are taking frontier capability into a regulated enterprise, we will map the integration path with your team. No pitch — a peer-to-peer review of the architecture, the constraints, and the route to production.