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Built for Enterprises
That Cannot Afford
Uncontrolled AI.

Where It Counts

Where "Good Enough"
Is Not Good Enough.

Every environment where AI outputs carry financial, legal, safety, or reputational consequences demands more than probabilistic routing. CARDIAC-PURR enforces deterministic policy, full audit trails, and verified cost reduction — simultaneously.

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6 Regulated Sectors Financial services, legal, healthcare, critical infrastructure, enterprise copilots, customer support.
$0 Fee if Savings = Zero Revenue-share pricing tied entirely to verified savings. No savings — no fee. No exceptions.

Sectors

Seven Environments.
One Control Surface.

01

Financial Services

Route sensitive calculations to high-precision models. Enforce audit trails for every recommendation. Block outputs that violate compliance policies before they reach traders or clients.

02

Legal & Compliance

Govern AI-assisted document review with deterministic policy enforcement. Ensure every output is traceable to a specific model version, provider, and validation checkpoint.

03

Healthcare & Life Sciences

Route diagnostic support queries to medically validated models. Enforce confidence thresholds. Maintain full audit trails for regulatory submissions and liability protection.

04

Critical Infrastructure

Operate AI systems under strict availability SLAs with multi-provider failover. Maintain deterministic behaviour during provider outages or degraded inference quality.

05

Enterprise Copilots

Optimise cost per interaction across thousands of users. Route simple queries to efficient models and complex tasks to premium models — automatically, transparently, accountably.

06

Customer Support Automation

Scale AI-powered support without scaling API costs proportionally. Govern tone, accuracy, and escalation policies across all customer-facing AI interactions.

07

Agentic AI Platforms

Agent frameworks — LangChain, LlamaIndex, AutoGen, CrewAI, Haystack, DSPy, Semantic Kernel — generate many LLM calls of varying complexity as they plan and act. CARDIAC-PURR AI Control Plane sits between the framework and the model providers, routing routine calls to lower-cost tiers, reserving stronger tiers for reasoning-heavy steps, and applying consistent governance and cost control across every framework — the framework itself stays responsible for orchestration. Validated across all 7 frameworks in a 350-request factual-QA benchmark (August 12, 2026, small-tier routing).

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FAQ

Common Questions.

Which industries is this built for?

Any environment where AI outputs carry financial, legal, safety, or reputational consequences — the seven above are common examples, not an exhaustive list.

Do we need to change our existing AI stack to adopt CARDIAC-PURR AI Control Plane?

No. The platform sits above your existing AI stack as a governance and routing layer — no model training, fine-tuning, or training data is required, and it's operational from day one.

Can it be scoped to a single team or a single use case first?

Yes — organisations commonly start with one workflow (e.g., customer support automation or a single regulated line of business) and expand coverage from there, since routing and governance are applied per request rather than requiring an all-at-once rollout.

How does this apply to regulated environments specifically (legal, financial, healthcare)?

The Layer 2 governance engine enforces policy constraints, confidence thresholds, and validation logic before any response reaches a user — the same control surface applies regardless of vertical. See Compliance for the EU AI Act–specific detail, and Platform for how the governance layer works mechanically.

Does pricing or governance change based on industry?

No — tiers and governance behaviour are the same platform-wide. See Pricing for tier structure.

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