Strategic partners

Put bounded verification where decisions become real.

GenXis Gavel gives product teams a practical control point: a named artifact, a declared check, and a signed receipt that travels with the decision. We work selectively with teams designing the next generation of trusted developer and AI workflows.

Discuss a fit See Gavel

Where the fit is strongest

Partnerships for workflows where evidence changes the next action.

We are looking for product and technical leaders who are designing how AI output moves from proposal to a consequential action. The opportunity is not another approval screen; it is an evidence path that makes the next action defensible.

Developer platforms

Embed a calm, inspectable verification moment before generated work becomes a customer-facing or policy-controlled action.

IDE and CI ecosystems

Design the handoff from agent output to review, test, merge, or release with evidence that can be retained and checked.

Cloud builders

Offer an OpenAPI-driven, server-side verification path without exposing bearer credentials in the browser.

Evaluation and reliability

Explore repeatable evaluation, explicit evidence capture, and receipts that keep a decision reviewable after it ships.

A collaboration surface, not a generic integration

A shared engagement can begin with an embedded verification workflow, a server-side OpenAPI implementation, an evaluative evidence model, or a focused design and go-to-market conversation where there is a real product fit. Your server or authenticated edge function holds the bearer credential; the browser never receives it. Read the public integration documentation or inspect the OpenAPI 3.1 specification.

Focused inquiry

Tell us where evidence should change the outcome.

Tell us about the workflow, decision boundary, or reliability problem you are shaping. A concise note is enough. We review inquiries for a specific, reciprocal product or technical fit.

Good starting point: An embedded platform workflow, IDE or CI control point, cloud-builder architecture, evaluation program, or reliability boundary.
What happens next: We reply when there is a clear collaboration surface and the right people are in the conversation.

Request a selective conversation

A few details help us understand the operating context. This is for product and technical collaboration inquiries.