Evidence that travels.
Follow the delivery record back to the requirement, checks and human acceptance. Export a signed receipt that a recipient can verify in their own browser.
Verify an exported receiptEngineer what comes next.
Move from AI opportunity to governed software delivery, with a configurable development lifecycle and human approval.
01 / The platform
Bring the opportunity, the engineering work and the decisions into one continuous delivery record.
Assess AI opportunities
Map a workflow, examine its source evidence and carry the selected AI opportunity into engineering without losing the context.
Configure your AI development lifecycle
Configure your AI software development lifecycle (AI SDLC) around the project's risk, owning roles and required review gates.
Govern agentic delivery
Develop a new product or improve an existing application, with requirements, proposed plans and review decisions connected.
02 / Inside the product
Keep the requirement, proposed plan and change review together. Review the model's contribution in the context of the project before carrying it forward.

One workspace for the requirement, the proposed plan and the change review.
03 / The product film · 2:28
Follow one request from a terminal to a receipt anyone can verify: the boundary, the gateway, the runner, the decision, the evidence and the cost.
05 / Accountability
Keep the evidence in reach, so the next conversation can start with what actually happened.
Follow the delivery record back to the requirement, checks and human acceptance. Export a signed receipt that a recipient can verify in their own browser.
Verify an exported receiptSee which model contributed, its recorded token usage and estimated cost, and the decision on its proposal. Keep the cost of a call connected to the work it supported.
Model contribution · recorded usage · estimated cost · proposal decision
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