Enterprise AI agent platform

AI agents for every employee. Control for your enterprise.

Build agents around your work, connect them to your tools and knowledge, and share them through testing and review. Workspaces, automation and enterprise controls in one place.

The Enterprise AI Fabric

How adoption grows

From one person's breakthrough to a capability everyone can trust.

Anyone can build an agent in their own workspace. When it works, it moves to a team and then the whole organization, and it passes review each time it crosses.

Select a stage to see it in the product

What teams get done

Real work, with the evidence attached.

The platform

Everything an agent needs, in one governed place.

Build

Write an agent in plain language, give it skills, and try it in the playground before anyone else sees it.

  • Agent designer
  • Reusable skills
  • Versions and rollback
Connect

Ground answers in your documents and reach your systems with each person's own access.

  • Knowledge with citations
  • Delegated connectors
  • MCP tools library
Automate

Run agents on a schedule, from a webhook, in Slack or Teams, or as background research.

  • Schedules and triggers
  • Task boards
  • Multi-agent orchestration
Improve

Test every version against evaluations, watch quality in production, and see every run step by step.

  • Evaluations
  • Run traces
  • Usage analytics

Governance

Set the boundaries. See the work.

Controls are part of how every agent runs, whether it starts from chat, a schedule, Slack or another agent.

  1. Approval for sensitive actions

    Writes and destructive tools pause for a person, according to your policies. Approvers can edit before they approve.

  2. Access that matches the person

    Connectors act with the requesting person's credentials, and knowledge respects the source's own permissions.

  3. Policies at every level

    Data loss prevention, model and tool allowlists, budgets and autonomy limits, set for the organization, a team or one agent.

  4. A record of every run

    Each model call, tool call and approval is traced with timing and cost. Audit logs export to your SIEM.

  5. Stop anything, immediately

    Pause or kill an agent, suspend a user, or halt the organization from one console.

trellaris.app/admin · Governance
Admin governance console listing policy kinds: models, tools, approvals, data loss, budget, autonomy floor, browser egress
trellaris.app/observe
Observe trace: an orchestrator run with each model and tool call as a timed waterfall

Trellaris provides these controls in the product. Independent certifications are listed separately on the security page once they are issued.

See how these controls compare with seven other agent platforms

Integrations

Works with the tools your teams already use.

Work and mail

Gmail, Google Calendar, Google Drive, Microsoft 365, Zoom

Service desks

ServiceNow, Jira, Zendesk, Freshservice, BMC Helix, Ivanti

Customers and sales

Salesforce, HubSpot, Dynamics 365, Intercom, Zoho Desk

Where people talk

Slack and Microsoft Teams, with approvals in the thread

Knowledge

Confluence, Google Drive and uploaded documents, with source permissions kept

Engineering

GitHub, plus any REST API turned into tools from its OpenAPI spec

Open protocols

MCP servers through a governed gateway, and A2A for agents on other platforms

Models

Anthropic, OpenAI, Azure OpenAI and Google Gemini, chosen by your policy

Request a demo

Bring one workflow. We'll show it running in Trellaris.

Tell us about a task your team repeats. In a working session we build an agent for it, connect it, and walk it through review.

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