Skip to content

AI that takes on real work, with and for your people.

Your teams set the objective and make the decisions. Duale AI takes each request, splits the work where it helps, and returns one result in the format you asked for.
See how the work runs

Hand Duale AI the work, without building the orchestration

Your application handles the request and the result. Duale AI organizes the work in between.

  • You define the work

    Send the work, its deadline, and the response format you expect. Your team keeps its business rules and permissions, and decides whether the result is acceptable.

  • Duale AI splits the work

    When part of the work needs separate attention, Duale AI starts a child branch with its own instructions and history.

  • One result comes back

    Each branch hands back its result, not its full history, and Duale AI joins them.

Task and Library requests stay encrypted end to end

With the Python SDK, encryption runs from your application to Duale AI.

Duale AI encrypts Task requests, live events and Library calls. HTTPS protects the connection as well. The Security Trust Center shows each covered path.

One request, as many focused branches as the work needs

Duale AI keeps the work on one path or splits it into side-by-side and nested branches.
From a team objective to one typed resultA team defines the objective, rules, and expected result. The application submits one Task contract. Duale AI creates focused execution branches as needed, coordinates their results, and returns one typed result. The team reviews or uses that result.

See how the product works, the work teams delegate, or the full Agent harness contract.

Keep one integration while models, Tools, and deployment change

Platform teams make those changes. Application teams keep the code they wrote.

Set up once, for every team

Every Task draws on the same AI agent platform, so each new use case starts from what your teams already prepared.

  • Libraries

    Upload your documents once. Every agent you allow finds the passage it needs and cites its source.

  • Tools

    Connect your MCP servers and your own code once, then choose which agents use them.

  • Model routing

    Each part of the work runs on a model you enabled, under your own provider contracts.

  • Identity and access

    Give each agent its own identity and only the access you grant.

  • Usage analytics

    See what your agents deliver, and what each model costs by provider.

  • Deployment

    Use the managed service hosted in the European Union, or run the Platform in your own infrastructure.

Find the first job your team can hand over

See use cases by team: finance, legal, procurement, sales, customer service, IT and security, and R&D. Or follow one due diligence Task end to end.

Questions teams ask before delegating production work

No. Duale AI calls the providers you already use, including models you host yourself. Your providers keep billing you for inference. See how Model routing works with your providers.

As many as your teams need. Duale AI charges per Task, not per agent, so each team can create one agent for each job. See how each agent gets its own identity, and see the fixed price per Task.

No. Duale AI does not reuse your content to train a model. Read what the terms of use say about your content and results, and see the subprocessors that handle your data.

Yes, in the terms of sale: under the GDPR, Duale AI processes your personal data only on your written instructions. Read the data processing agreement.

See how Duale AI takes on real work, then plan your deployment.

See how the work runs