How we build
Back to the agents ↗
How we build

A focused agent. A clear delivery process.

We build custom AI agents for companies, starting with a specific workflow and the data it needs.

Start with your process

Bring a few completed examples, the systems involved, and the result your team needs. Together we agree the scope, permissions, human review, and a measurable pilot goal.

Security Reviewer

Our existing Security Reviewer implementation reads a repository or pull request, investigates security risks, challenges its findings, and prepares a prioritized report. It covers authentication, data isolation, injection, secrets, and webhook boundaries. Reports can be retained, and GitHub feedback can be configured for the deployment. Reviewing a target does not modify its code.

Other agent examples

Compliance evidence, tender readiness, and contract obligations are illustrative demos using fictional data. They show possible workflows and are not customer case studies or live assessments.

From pilot to operation

We evaluate the agent against representative examples before connecting live systems. Access, deployment, approvals, support, and success measures are agreed for each company.

Tell us about your agent ↗