Born in Lancashire · Educated at Cambridge · Made in the UK
The AI BrainSystem ThatActually Runs.
OmniCore UK is not a chatbot wrapper. Not a prompt chain. Not a demo. It's a real, running multi-brain AI architecture executing real jobs on the Dawn supercomputer at Cambridge.
Built over months. Powered by UKRI-funded compute. The intelligence layer behind every Mark Advance AI product.
OmniCore Creative AI
Meet HanaH
Dawn HPC
Supercomputer
Cambridge, UK
6
Brain Components
Working in concert
SLURM
Job Runner
Real execution
UKRI
Funded Research
Government-backed
Talk to HanaH
Britain's AI assistant. Ask her anything — powered by OmniCore UK running on Cambridge's Dawn supercomputer.
HanaH
OmniCore UK · Powered by Dawn HPC
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How OmniCore Works
A real system. Real jobs. Real output files. No smoke and mirrors.
Job Submitted
A structured job specification is written and submitted to OmniCore. The Orchestrator receives it, validates the format, and queues it on Dawn's SLURM runner.
Brains Activate
ThinkingBlock processes the problem. Confidence Scorer evaluates each output. The multi-agent reasoning chain runs sequential verification passes until confidence thresholds are met.
Files Returned
OmniCore produces real output files — HTML, JSON, configs, documentation, or structured data. These are returned and integrated directly into the build. No simulation. No invention.
OmniCore UK Job Spec: Job Type : HTML_GENERATION Priority : HIGH Agent Chain : ThinkingBlock → Confidence Scorer → Orchestrator Task: Generate a complete landing page section for OmniCore UK introducing the system architecture to a technical audience. Requirements: - Explain ThinkingBlock, Confidence Scorer, and Orchestrator - Use structured HTML with semantic tags - Include a visual flow diagram as inline SVG - Tone: authoritative, technical, not salesy Output: - File: omnicore-architecture-section.html - Format: self-contained HTML fragment - Confidence threshold: 0.85+ On completion: Return file to integration pipeline.
The Six Brains
Each component is specialised. Together they form a reasoning system that checks itself, improves itself, and produces verified output.
ThinkingBlock
The primary reasoning engine. Processes complex multi-step problems before committing to any decision.
Confidence Scorer
Evaluates every output. Assigns a confidence rating and flags low-certainty results for review or reprocessing.
Retraining Trigger
Monitors performance over time. Automatically initiates retraining pipelines when drift is detected.
Orchestrator
The conductor. Routes tasks to the right agent, manages job queues, and ensures outputs are returned correctly.
Self-Educating Pipeline
Learns from every job run. Accumulates structured knowledge that feeds back into future reasoning cycles.
Multi-Agent Reasoning Chain
Chains multiple specialised agents in sequence. Each agent checks the last, creating a layered verification system.
Reasoning Chain Flow
OmniCore UK is the intelligence layer powering Mark Advance AI — a UKRI Dawn AIRR supercomputing award recipient
Visit markadvanceai.co.uk