Our products

AI you can prove. For the code you ship and the work you run.

Everyone has the same models now. The edge is proof they can be trusted. We productize that answer twice: an evidence gate for your code, and AI employees that run your operations. Same discipline underneath, evals as a number, humans on the calls that matter, an audit trail on both.

proof for AI-written code

everylayer

An evidence gate on every pull request. It scores what your tests actually prove across seven layers plus the accessibility, performance and security gates, generates the missing tests and evals as draft PRs, and blocks unproven AI-written changes before they merge.

    seven proof layers, mutation-validatedaccessibility, performance and security gatesinstall the GitHub App, get a report
See everylayer →AI that does the work

AI employees, operated

Support, documents, research and back-office roles onboarded to your tools, measured on accuracy and cost per task, with humans on the exceptions. We build them and we run them, and the human share shrinks as the models improve.

    onboarded like staff, measured like staffevals, guardrails, human-in-the-loophire the outcome, we staff it
See AI employees →

Same spine: prove it before you trust it. The evals discipline that proves your code is how we run and prove the work.

Start with the product that fits the pain.

Shipping AI-written code you cannot fully trust? Start with everylayer. Drowning in a manual workflow? Start with an AI employee. One call, an honest read on which.

Start a projectBook a call