unati

Built around your organizationIn development

Shared knowledge.
Coordinated AI.

Your knowledge, your standards, your AI team. Unati connects them so people can focus on the work — with one Maestro coordinating the specialists.

A shared foundation for AI work

Your organization
sets the standard.

Different prompts, tools, and habits lead to different results. Unati is being built to give every authorized agent the context, responsibilities, and rules that belong to your organization.

One task.
A coordinated team.

Talk to your Maestro. A versioned workflow guides the specialists, their tools, and the decisions that come back to you.

Explore the planned experience

Interactive illustration of the intended product. This does not run agents.

You + Maestro01 / 04

Start with the outcome.

Describe what needs to change. The Maestro clarifies scope and acceptance criteria before starting the approved workflow.

You

Add a validation before a request can be submitted.

Maestro

Let’s define the rule, the affected flow, and the evidence we will need.

A clear task with shared acceptance criteria.

Knowledge, with
a place to belong.

The Oracle is the organization’s knowledge map. Connect guidance to the teams and agents that need it, with publication, versions, and inherited access.

Illustrative knowledge map
The OracleOrganization
StrategyProduct
Engineering
Development guidesData standardsSecurity policy

A shared map. Access follows the source.

Write in one place

Publish knowledge and AI guidance through a visual map. Agents consult the versions and layers their roles are authorized to access.

Keep access intentional

Permissions inherit through the map. Restricted layers remain restricted, including when specialists help with a task.

Explore new perspectives

Planned after the MVP: AI-assisted perspectives that reorganize paths through the same knowledge, without rewriting the source or expanding access.

The right tools.
The right boundaries.

Teams, agent profiles, and policies belong to the organization. People bring their work and connect the AI accounts they are authorized to use.

Roles with a purpose

Publish approved profiles, tools, skills, and workflows. Give each specialist a clear responsibility and an explicit handoff.

Models that fit the task

JEV is planned to select approved models using task requirements, availability, and consumption limits, with an approved fallback when needed.

Policies before actions

KingGuard combines readable policy with software-enforced rules. An AI decision cannot override a rule that prohibits an action.

Work where
the access lives.

The MVP targets local execution through the Unati CLI and authorized corporate Linux executors. A read-only DBA can work inside the corporate network when the workflow needs it.

Cloud execution managed by Unati is planned for a later version.

You keep
the final say.

The Maestro handles coordination. People handle the decisions that need judgment. The software development MVP targets a reviewed pull request; merge and deployment stay with humans.

MaestroIllustrative handoff

The change is ready for human acceptance, with review and test evidence attached.

Review the pull request.

Inspect the changeReview the evidence
No automatic merge or deployment in the MVP.

Building the first release

From shared rules
to real delivery.

Organizational contracts and an initial mediated-action authorization layer are implemented and tested. The complete organizational workflow is still being built.

This page presents the product direction. No public sign-up or hosted agent execution is available yet.

  1. Foundation

    Organization, permissions, team selection, and first execution controls.

  2. First usable release

    Administration, CLI onboarding, and a software task through to a reviewed PR.

  3. Complete the MVP

    Visual Oracle, corporate execution, integrations, and failure testing.