Platform overview

Enterprise AI agent platform.
Built around your work.

Persistent agents, shared workspaces, system integrations, and review controls in one platform. Give each agent a job, and keep the work where your team can inspect it.

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Agents roster for a team workspace: five named agents, each with an owner, all showing Working status. — Actual product UI with demo data. One broadcast message, five agents working at once.

Persistent agents and working context

Internal APIs, MCP, and custom tools

A platform for your applications

01 / Assign the work

Ask in plain language. Get a usable answer.

Each agent keeps its role, files, and history between assignments, so your team builds on earlier work instead of starting over.

Direct work in chat, on a named schedule, or from an app event
Plans, tool activity, and pending requests in one timeline
Briefs, tables, charts, CSV exports, and PDF reports

An agent's chat reply listing three open audit evidence items, each with an owner, a status, and a source file, followed by a caveat that the sources were not verified. — An actual reply from a demo agent, fictional data. It names owners and sources, and says what it could not verify.

02 / Connect your systems

Connect the systems your work depends on.

Import an OpenAPI spec or connect Model Context Protocol (MCP) servers. Your administrators choose which operations each agent can use, and which ones wait for a person to approve the exact call.

Internal APIs, MCP tools, and reusable skills
REST API and Remote MCP to bring agents into your applications
Per-operation policy: read, write, or approval required

Explore integrations and APIs

Integration catalog for a published API spec: each operation becomes an agent tool with a risk policy of Approval or Read. — Published operations from a demo API, fictional data. Each one carries its own risk policy.

03 / Govern the work

Inspect it, forward it, stop it.

Audit

Ask Why?

Follow an action back to its request and model step. Missing links show as gaps.

Audit and evidence

Splunk search result showing the matching denied send_email audit event from Decision Terrain.

SIEM

Found in your SIEM

Selected audit events reach the SIEM you already run, where your alerts can fire.

Security operations

External security intervention record for the Canary agent: Partially enforced, Hold active, with a Release this hold button.

Governance

Halt from your security tools

A scoped API holds one agent. A named person releases it, and both are on the record.

Governance controls

Actual product UI, local development captures, fictional data. Availability depends on deployment, permissions, and enabled features. A halt does not reverse completed actions.

04 / Operational fit

Choose the environment and the support.

Run it where your information boundaries require, and build with your own team or ours.

Deployment options

Your hardware or your cloud account, including air-gapped. Decide where inference, data, and execution run.

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Deploy your way

Build with platform documentation, or add DT engineers, training, and support when you want them.

Deployment and support

Assessing platforms? Use the guide to evaluating an AI platform beyond the demonstration.

Next steps

What will your team build?

Explore the platform around your systems and workflows. Your team can lead implementation, with DT engineering and support available when you need it.

Request a Demo Talk to engineering

Enterprise AI agent platform. Built around your work.