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AI Products & Infrastructure

Products

We build proprietary products designed to solve infrastructure, governance, and operational challenges.

StackSpine

Design Partner Preview

AI Runtime Governance for Healthcare

Enforce AI policy before execution.

StackSpine provides a provider-neutral runtime governance layer for healthcare software companies using generative and agentic AI.

It allows organizations to define and enforce customer-specific policies for models, providers, agents, tools, approvals, budgets, and sensitive-data handling before AI actions execute.

One application. Different payer requirements. One enforcement layer.

Runtime Policy Enforcement

Policies are evaluated and enforced before an AI action executes, not audited after the fact.

Customer & Payer-Specific Policies

One application can honour different customer and payer requirements through a single enforcement layer.

Model & Provider Controls

Define which models and providers are approved for each workflow, customer, or data category.

Agent & Tool Permissions

Scope what agents and tools are permitted to call, read, and change in production environments.

Human Approval

Require a person in the loop for actions that carry clinical, financial, or contractual risk.

PHI-Aware Controls

Apply handling rules designed for sensitive health data across prompts, tools, and providers.

Budget Enforcement

Set spend limits per customer, workflow, or model and enforce them at execution time.

Policy-Safe Fallback

When a policy blocks a path, route to an approved alternative instead of failing the workflow.

Shadow Mode

Simulate policy changes against real traffic before enforcing them.

Evidence & Audit Trails

Generate a record of runtime governance decisions for internal review and customer assurance.

StackSpine is in design partner preview and is not generally available.

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Where we build

StackSpine is our flagship product. Our broader product work spans three areas.

AI Infrastructure

Software that manages how AI systems interact with models, tools, data, and production environments.

AI Governance

Runtime controls that determine what AI systems are permitted to do before actions execute.

Intelligent Applications

Purpose-built AI applications that automate high-value workflows inside regulated and complex businesses.