FOR SOFTWARE & AUTOMATION AGENCIES

Building AI into
a client’s product?

Start with private inference and agent infrastructure. Connect client knowledge and tools, define what agents can do, and keep the experience in your product.

Access is available through developer onboarding. Tell us what you’re building.

Private by design. Clear about the boundaries.

Their business knowledge.
Protected while agents work.

Build with private inference, hardware-isolated processing in Trusted Execution Environments, and end-to-end encryption on supported routes.

Explore private inference ↗
Stored business data
Stored knowledge and conversation history have their own encryption, access, and retention controls. Confirm the storage and key-management setup for your integration.
Inference retention
Private inference routes use zero-retention model processing. This covers inference-provider prompts and responses, not your application’s history, logs, or connected tools.
Confidential processing
Supported models run inside Trusted Execution Environments (TEE). Hardware isolation protects data during computation; attestation provides evidence of the environment.
End-to-end encryption
Supported routes encrypt prompts at the client and decrypt them inside a verified enclave. The encryption boundary depends on where your client runs; standard chat apps are not automatically covered.
External tools
Agents send the information an approved action needs to the connected service. That service’s permissions, storage, and retention rules still apply.

Example workflow

Useful work. A human decision.

A support workflow your team can build. This is an illustration, not an interactive API demonstration.

  1. 01 / Read

    Read a support request

    The agent receives the ticket and the customer context your application permits.

  2. 02 / Prepare

    Draft a follow-up

    It proposes a response and a record update, ready for review.

  3. 03 / Approve

    Obtain owner approval

    The owner reviews the proposed action before your application allows the write.

  4. 04 / Record

    Record the update

    The approved tool records the result in the customer’s system.

Explore the docs ↗

Work with what they use

Their tools. In your experience.

Connect each customer’s spreadsheets, documents, tasks, accounts, and conversations.

Available through onboarding · Customer authorization required for each connected service.

Understand data and tool boundaries ↗

Let’s build something useful

Tell us about
your integration.

Share the client workflow you want to build. We’ll discuss the access, tools, and privacy requirements with your team.

Live, invite-led access. Submitting a request does not provision an account.

What developer onboarding involves ↗

We use these details to review your integration and contact you about developer access. Avoid including client secrets or personal customer data.

Requests are saved securely for review. Submitting does not activate an account.