About
Trust is earned by verification
qbrin is built on one conviction: an enterprise AI answer you cannot verify is a liability wearing a confident voice. So we built the layer that verifies.
Why qbrin exists
An answer you can’t verify is a liability wearing a confident voice.
Every enterprise AI search product promises answers from your company’s knowledge. Almost none of them will tell you when the answer is not there. The result is the most expensive failure mode in enterprise AI: an answer that looks right, reads confidently, cites something, and is wrong.
qbrin is built around the opposite discipline. Every answer must be grounded in citable sources from your own data, every claim passes verification gates before you see it, and when the evidence is missing, qbrin says so instead of guessing. Cited, or abstain. We think that trade, occasionally hearing “not enough evidence”, in exchange for never being confidently misled, is what makes AI usable for work that matters.
How we work
We publish the measurement, and the method.
Method first
Show the method
Adversarial trap questions, audited scoring, and honest reporting of the costs as well as the wins.
How we score the trust layerCount the misses
Publish the rate
When a benchmark result flatters us but the method is weak, we say so. When abstention rejects a true answer, we count it and publish the rate.
Read the honest guideScoped claims
Hold the website to it
Benchmark numbers are scoped to the suites they came from, and we have never implied a head-to-head result we did not run.
Open the scorecardWho builds it
Built with a security engineer’s posture.
qbrin is built by Kate Sai Kishore. His background is security engineering, including identity security at Okta, the discipline where you assume every input is hostile and design so that trust is earned by verification, never by confidence. qbrin applies that same posture to enterprise AI answers.
Before qbrin, Kishore built and shipped consumer products end to end, and he writes the measured write-ups on the qbrin blog.
Contact
A person reads every message.
The fastest way to reach the team is email. You can also connect with the founder on LinkedIn, book a walkthrough, or test qbrin on your own workspace.
See it answer
See it answer your hardest question.
Bring one real question your team keeps re-asking. We’ll connect a source, read-only, and show you the answer, sourced, in seconds, in a 20-minute walkthrough. Nothing changes in your tools.
- One source connected, read-only
- Your real question answered, with sources
- Nothing changes in your tools
or email hello@qbrin.com