CARDIAC‑PURR
Enterprise AI Execution & Optimisation
Govern AI Infrastructure
Like You Govern
Financial Capital.
The CARDIAC-PURR Intelligence Platform is an enterprise control layer for multi-model AI systems. It orchestrates execution across providers in real time — optimising for cost, performance, reliability, and risk simultaneously. Not a router. A governance engine.
The Problem
Every Enterprise Running AI
Faces the Same Four Gaps.
Most organisations treat AI infrastructure as a procurement problem — buy API credits, pick a model, hope it works. The result is uncontrolled cost, ungoverned risk, and zero operational visibility.
Platform Capabilities
Three Layers.
One Control Surface.
The platform combines intelligent routing, runtime governance, and financial optimisation into a single operational layer. Every decision is logged, every substitution is auditable, and every policy is enforced before a response leaves the system.
Intelligent Routing & Optimisation
Not all tasks need the most expensive model. The platform evaluates task complexity, latency requirements, provider availability, model capability, pricing, and execution context — then dynamically selects the most efficient model for every request.
Risk Prevention & Governance Engine
A multi-stage governance system that enforces policy constraints, model eligibility rules, confidence thresholds, and validation logic before any response reaches the user. Designed for regulated environments where every output carries liability.
Financial Optimisation & Observability
Every routing decision is measured, costed, and attributed. The integrated Model Delta Index (MDI) transforms AI infrastructure from a black-box expense into a measurable optimisation asset with procurement-grade audit trails.
Production-Scale Reliability
Built for environments where downtime is measured in millions. The platform maintains bounded operational behaviour under provider outages, degraded inference quality, latency spikes, and policy violations.
Provider Ecosystem
Multi-Provider.
Zero Lock-In.
The platform orchestrates across the full spectrum of commercial and open-source AI providers. Route by capability, cost, latency, or compliance requirements — and switch providers without changing your application code.
Applications
Built for Enterprises
That Cannot Afford
Uncontrolled AI.
Every environment where AI outputs carry financial, legal, safety, or reputational consequences — and where "good enough" routing is not good enough.
Regulatory Alignment
EU AI Act.
Governance Is Now Law.
The EU Artificial Intelligence Act (Regulation 2024/1689) entered into full application in August 2026. Organisations deploying AI in regulated sectors face binding obligations. The Intelligence Platform is designed to operate as governance infrastructure — not as an afterthought.
Financial Impact
Turn AI Spend
From a Black Box
Into a Measurable Asset.
Most organisations have no visibility into which models they are using, why they are using them, or what they could have saved by routing differently. The platform changes that.
Adjust the sliders to model your potential savings. The platform typically reduces unnecessary premium-model usage by 30–50% while preserving task quality through intelligent substitution.
How It Works
From Request to Response.
Governed at Every Step.
The platform sits between your application and your AI providers. It does not replace your models — it governs how they are used.
Request Intake
Your application sends a request through the platform API — exactly as it would to any single provider. No code changes. No SDK migration. The platform captures the request, its context, and its constraints.
Intelligent Routing
The platform evaluates the task against live provider telemetry — cost, latency, availability, and capability — and selects the optimal model. A simple classification task might route to Mistral. A complex reasoning task might route to Claude. All automatically.
Governance Enforcement
Before the response reaches your user, it passes through the governance layer. Policy constraints are checked. Confidence thresholds are validated. Unsafe outputs are blocked. Fallback chains are triggered if quality is insufficient. Every decision is logged.
Response & Audit
The response is returned to your application with full provenance: which model was used, why it was selected, what it cost, and what governance checks were applied. Your finance team sees savings. Your compliance team sees audit trails. Your engineers see performance.
Ready to Govern Your AI Infrastructure?
Full technical documentation and mechanism details are available under mutual NDA. Initial response within two business days. Patent-pending technology — outcomes only until IP protection is complete.