About
An AI Analyst for everyone in your company.
Klairr is the single intelligence hub where any employee — regardless of role, technical skill, or team — can ask any question about the business and get an immediate, trustworthy answer from the company's own data.
Our mission
Make every business question a one-step away from a trustworthy answer.
Every modern company has more data than ever before — and most of the questions that data could answer never get asked. Not because the questions don't matter, but because asking them costs too much. A Slack to the data team. A three-day wait. A stale dashboard. A meeting that already happened.
Klairr exists to change that math. The AI Analyst answers any business question in plain language, picks the right sources automatically, shows the reasoning behind every number, and turns the answer into a live report or mini-app anyone in the company can use. The data team gets out of the ad-hoc queue. The business gets answers in seconds, not days.
What we believe
Four principles. No exceptions.
Plain language is the universal interface
A finance lead, a marketer, and an analyst should be able to ask the same question and get the same trustworthy answer. The interface that scales is the one everyone already speaks.
Data teams are the hero, not the bottleneck
Every modern company has more questions than analysts. Klairr handles the everyday "how are we tracking" questions so the data team can focus on the deep work that actually moves the business.
An answer without sources isn't an answer
Every answer Klairr returns shows the reasoning, names the sources, and carries a confidence score. When confidence drops, Klairr says so first — and tells you what would raise it.
The whole stack is one stack
Modern teams live across the warehouse and product analytics, CRM, finance, and a dozen SaaS tools. An AI Analyst that only speaks warehouse can't answer most real questions. Klairr was built cross-stack from day one.
The category
Klairr is an AI Analyst — not a dashboard tool, not a chatbot, not a notebook.
Dashboard tools are static. They tell you what someone decided to ask last quarter. By the time the question changes, the dashboard is stale. Chatbots layered on top of BI inherit those dashboards' blind spots — and the AI gets blamed when the underlying data was already wrong.
Notebooks are powerful, but they're a tool for analysts. The marketer or finance lead asking "are we on track?" doesn't write Python. They want an answer.
An AI Analyst answers questions. It runs real analysis against your real data. It shows the reasoning. It cites the sources. It scores its own confidence. And when the answer should be a live report or a small internal app, it ships that too.
Ask Klairr.
Connect your warehouse and your product data. Ask your first question in minutes. No demo required.
No credit card required · Free tier with 25 questions/month