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AI you can own, govern and meter.

One enterprise platform for insurance and regulated industries to build, govern and operate intelligent AI agents across every model, every workflow and every business system, with complete visibility, security and control.
Declare the mandate. Run the work. Prove what happened.
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One enterprise platform.
Six layers of governed work.

One agent on its own is a demo. Enterprise work takes several of them, your people and a dozen systems, operating together under one set of controls and leaving one account of what happened. It takes all six of these.

Build and equip enterprise agents with the right knowledge, tools and permissions, declared in plain language as a mandate your own reviewers sign.

Ground every agent in trusted data, business context and the facts that matter, including the documents the work actually arrives as.

Harness autonomous agents, people and workflows around every enterprise case.

Put intelligence to work across every model, system and channel, securely and at scale.

Make every action observable, every decision auditable and every agent accountable.

Use evals, experiments and live feedback to improve every agent with confidence, and promote changes through the same gates your software releases pass.

Declare

Build and equip enterprise agents with the right knowledge, tools and permissions, declared in plain language as a mandate your own reviewers sign.

Ground

Ground every agent in trusted data, business context and the facts that matter, including the documents the work actually arrives as.

Orchestrate

Harness autonomous agents, people and workflows around every enterprise case.

Act

Put intelligence to work across every model, system and channel, securely and at scale.

Govern

Make every action observable, every decision auditable and every agent accountable.

Improve

Use evals, experiments and live feedback to improve every agent with confidence, and promote changes through the same gates your software releases pass.

Built for regulated enterprises.

Insurance, banking and financial services. Every layer answers a question a regulator will ask, and your data never has to leave the walls you control.
Deployment

Runs inside your own environment

On premise, private cloud, hybrid or managed, across the major clouds. Your infrastructure, your models, and processing that stays in the region your rules require. The tuned models are small enough to run there.
Security

An agent reaches only what it was granted

Tools granted per mandate, tenant isolation, filtering on what goes in and comes out, and testing against attack before release.
Data protection

Personal data is masked where it lives

Encryption, tokenization and retention you configure. Personal data masked before the model ever sees it.
Evidence

Every decision leaves a trail nobody can edit

Every agent, model, dataset and decision, across every environment, with the tool calls, the cost and the lineage of what fed it. Written as it happens, not reconstructed later. SOC 2 Type II and ISO 27001 certified, re-audited every year. ISO/IEC 42001 for AI management in progress.
Control

Autonomy you can turn down, not just up

Autonomy is easy to raise and hard to lower, so most teams never raise it. Here a warning sign lowers it for you, which is what makes raising it reasonable.
Context

One shared understanding of your business

Every agent works from the same picture: what you know, how you decide, what you decided before, and what is happening right now.
Integration

Governed access into the systems you already run

Agents reach your systems through governed tools, APIs and MCP, so every call is allowed, intended and logged.
Economics

Models that know your business, at a cost you can meter

Smaller models, tuned on your own cases, carry most of the volume and know the terms your own teams use. Every action is metered, so AI cost per case is a number finance can reconcile, not estimate.

You get the platform and the team that lands it.

Forward deployed, and not just engineers. A consultant who knows how the work runs, a solution architect who designs it, and an engineer who builds it, all sitting inside your operation. They write the first mandate with your own people, hand it over, then move to the next use case.

Ready to transform your operations with AI?

Start with one workflow. Scale what works.

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