Technical Evidence Pack
This evidence pack provides assessors and procurement reviewers with structured access to technical, delivery, governance, and risk documentation for Supreme ModelTX. All sections are maintained for ongoing review.
Last updated: 30 June 2026
Evidence sections
Select a section to view detailed documentation. Each section is updated as part of the ongoing engineering and governance cadence.
Architecture Overview
Two-layer sovereign AI platform architecture: Model Core and Platform API. Sovereignty controls, deployment boundary design, and integration model.
View Architecture Overview →Evaluation Approach
Benchmark methodology, reproducibility controls, baseline criteria, and evaluation pipeline design for systematic model assessment.
View Evaluation Approach →90-Day Delivery Plan
Phase-based execution plan covering stabilisation, GPU benchmark cycle, and hardening windows with gate criteria and dependency tracking.
View 90-Day Delivery Plan →Risk Register
Managed dependency register, risk mitigations, governance controls, and escalation pathways maintained for assessor review.
View Risk Register →Delivery and Readiness Status
Current engineering readiness, active dependency status, delivery gate progress, and immediate next steps.
View Delivery and Readiness Status →For assessors and reviewers
The evidence pack is structured to support procurement review, technical assessment, and governance due diligence for UK Sovereign AI programmes. All technical claims are based on documented, reproducible work. Where metrics are placeholders, this is declared explicitly.
A structured technical walkthrough is available on request, covering all evidence sections in sequence with live demonstration capability for engineering artefacts.
A full submission overview — covering architecture, delivery plan, governance, risk, target users, infrastructure, and funding use — is available as a structured on-site deck: View submission deck →
Request a reviewer briefing
Assessors can request a structured technical walkthrough or contact the team directly for follow-up evidence requests.