Infrastructure & reliability
We establish whether the systems an organization depends on perform as represented — self-service environments, platform tooling, and the operational toil that is rarely budgeted for until it becomes a liability.
We are a small, independent practice that tests whether AI systems and infrastructure genuinely perform as represented — built for organizations managing privacy, security, and reliability without a dedicated internal team.
We craft solutions that protect people's privacy and give them back their time — validated rigorously, built with genuine care, and offered only once they have earned the right to exist.
A world in which the systems protecting people were made with real attention — not appended as an afterthought, but built in from the first line of work.
Every finding is produced by hand, through direct, reproducible testing — not generalized, assumed, or taken from a checklist.
The assurance of knowing a system was properly examined — evidence you can present with confidence, not a score to take on faith.
Privacy and reliability are not claims we publish — they are the standard the work is held to, and the thing it exists to demonstrate.
AI is the instrument, not the credential. It is used to work with greater speed and precision — the judgment, the method, and the standard the findings must meet remain ours. What is claimed matters only insofar as the work proves it.
A deliberately short list. We would rather be precise about what is proven than exhaustive about what we have merely considered.
We establish whether the systems an organization depends on perform as represented — self-service environments, platform tooling, and the operational toil that is rarely budgeted for until it becomes a liability.
We test what a deployed AI system actually infers about the people who use it, and close the gap between a stated privacy policy and the model's demonstrated behavior — mapped to current state privacy law and the EU AI Act.
We carry out the remediation a security review or a compliance tool has already identified — implementation, not fresh judgment, delivered as a finished, bounded engagement.
An independently verifiable record linking a human authorization decision to each action an AI agent takes under it — a separate, longer-horizon engagement, pursued at its own pace.
Early-stage work on a between-session support tool for therapists and the people they treat — privacy and protection are the actual subject matter here, not a stretch from our core thesis. Held under Kavach as a validating line: we are still running the interviews that decide whether it earns a committed place.
If responsibility for privacy, security, or vendor risk sits with you alongside your other duties, it most likely does. Describe the concern, and we will advise honestly on whether the work would find anything worth commissioning.