Klaris turns the questions a dashboard can't answer into governed investigations — reviewable SQL, traceable results, and findings grounded strictly in your data and business context. Speed, without the black box.
Built for teams that need grounded answers from complex data — not another dashboard to maintain.
Klaris Copilot
Reasoning · GPT-5 family
transactions, vendorsBuilt for the teams that live in complex data
Your team already has the data. The hard part is turning it into answers when the question changes.
Most tools show what has already been modeled. Klaris investigates the questions that appear between dashboards, spreadsheets, reports, and data queues — understanding the question, inspecting the data model, generating reviewable SQL, analyzing the result, and explaining what changed.
Klaris is a tool-using AI analytics platform that reasons over your connected data, schema, business definitions, prior findings, and uploaded context. It explores your data model, applies your business rules, writes SQL, runs governed queries, builds charts, and returns answers grounded in your actual data.
Explore the reasoning engine →For compliance, public-data, operational, and marketing questions that are too dynamic for static dashboards.
Find irregularities, missing records, policy exceptions, and compliance gaps across structured data — grounded in reviewable queries and traceable results.
Analyze government records, market data, regulatory filings, education, healthcare, and civic data — turning messy public information into explainable insight.
Track performance across teams, workflows, products, and regions. Understand what changed, where exceptions rise, and which part of the business needs attention.
Investigate campaign performance, lead quality, funnel movement, and channel efficiency — beyond surface metrics to what actually drives outcomes.
Reasons over your schema, entities, definitions, rules, prior findings, and uploaded context before it answers.
Result Answers reflect how your organization actually defines metrics and policies.
Writes SQL that can be reviewed, approved, executed, and traced back to the answer.
Result Every answer can be checked, reproduced, and trusted.
Inspects schema, tests hypotheses, runs follow-up queries, profiles columns, and synthesizes findings.
Result Teams get the “why,” not just the number.
Turns query results into charts, summaries, anomalies, and saved findings.
Result Answers are ready for reviews, reports, and decisions.
When users confirm a definition, correction, or rule, Klaris saves it as durable context for future questions.
Result Klaris gets more accurate with every interaction.
Use Klaris as an interactive workspace, an embedded experience, or a reasoning layer inside your product.
Result One engine powers internal, customer-facing, and operational analytics.
Connect your warehouse, database, spreadsheets, or business systems. Klaris reads your schema and fields to understand what exists and how it's structured.
Add metric definitions, business rules, glossary terms, and policy logic — so Klaris answers in your language, not generic database language.
Ask in plain English. Klaris explores the model, generates reviewable SQL, analyzes results, builds charts, and explains what changed.
Klaris is designed for governed analytics workflows where correctness matters — speed without turning analytics into a black box.
Most organizations have more data than ever, but the path from question to answer is still slow. Klaris exists to close that gap.
We believe the next analytics interface won't be another static dashboard. It will be a governed reasoning system that understands business context, investigates data step by step, and turns every confirmed answer into reusable knowledge — moving teams from reporting what happened to understanding why, and what to inspect next.
Bring a real business question, a sample dataset, or a messy CSV. We'll show how Klaris inspects your data, reasons through the question, generates SQL, builds charts, and surfaces findings.
No polished dashboard required. Bring the messy question your team is already trying to answer.