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Ask in plain language. Get the real number, and what it means.

Cairo is an AI data analyst that connects to databases, analytics tools, and files to run precise queries, analyze results, and deliver decision-ready insights. It replaces slow dashboards and ad-hoc analyst requests with direct, accurate answers.

Read-only

never writes to your data

No SQL

needed to ask the question

Query shown

every answer is checkable

Cairo

Cairo

Data Analyst

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Cairo is an AI data analyst that connects securely to your databases, analytics tools, and files. It writes and runs precise SQL to answer business questions directly, explains trends and anomalies in language non-technical teams can act on, and produces recurring reports automatically. Access is read-only, and it always shows the query behind the answer.

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Teams waiting on a BI queue, and analysts buried in ad-hoc requests.

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AWS, GCP, SQL databases, BigQuery, Snowflake, Sheets, and Excel.

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Read-only by design. Cairo queries and reports — it never writes to production.

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Minutes once a data source is connected. No modelling project first.

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Direct Data Access

Connects securely to databases, analytics tools, and files to work directly on real data instead of summaries.

SQL Query Execution

Writes and executes precise SQL queries to retrieve exactly the data needed for analysis.

Business-Focused Analysis

Transforms raw numbers into insights tied to business questions, not just charts and metrics.

Reporting & Summarization

Generates clear reports, summaries, and explanations that non-technical teams can understand and use.

Context-Aware Analytics

Uses historical context and prior questions to refine analysis and avoid repetitive or misleading results.

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Ask anything, get an answer

Plain-language questions

Ask the way you would ask a colleague; Cairo works out the query.

Precise SQL execution

Writes and runs real queries against real tables — no sampling or approximation.

Always shows its work

The query comes with the answer, so an analyst can verify it in seconds.

Follow-up questions

Keeps the thread, so "now split that by region" just works.

Make the numbers make sense

Explain what a metric means

Turns a figure into its business implication, in language anyone can act on.

Surface anomalies

Flags the spike or drop that a dashboard would show without ever explaining.

Separate signal from noise

Tells you when a change is real and when it is a tracking artefact.

Prevent misreading

Calls out when a number is being compared against the wrong baseline.

Kill the reporting ritual

Automate recurring reports

The monthly pack assembled the same way every month, without the manual pull.

Write the commentary

Not just the chart — the paragraph explaining what moved and why.

Analyse spreadsheets directly

Works on the Excel and Sheets files your process already runs on.

Keep definitions consistent

Churn means the same thing in March as it did in January.

Connect to real data

Warehouses and databases

BigQuery, Snowflake, and SQL databases through secure, controlled connections.

Analytics and business tools

Google Analytics, CRM data, and BI exports pulled into one answer.

Read-only enforcement

Access is scoped to reading — Cairo cannot alter production data.

Respects your permissions

Only queries what the person asking is already allowed to see.

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A simple question, a three-day wait

Cairo answers business questions immediately by querying your databases directly — no ticket to the BI team, no waiting for someone to free up an afternoon.

Plain languageReal SQLInstant
What was churn last month by plan?
SQL · subscriptionsSnowflake1.2M rows

Overall churn 3.1%. Starter is 5.4% — nearly double the account average — while Enterprise held at 0.9%.

VerifiedQuery shown
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Dashboards nobody can actually interpret

Cairo explains what a metric, trend, or anomaly actually means in plain language — so teams act on the number instead of quietly misreading it.

ExplainedAnomalies caughtContext
SignupsAnomaly detected

That spike is not real growth — a partner newsletter sent duplicate referral links, and 71% of those accounts never activated.

Exclude from the growth number
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Reporting that eats the first week of every month

Cairo pulls from your spreadsheets and analytics tools automatically and produces the same report the same way every time — without the manual Excel ritual.

AutomatedConsistentWith commentary
Monthly reportAuto-generated

Revenue and pipeline pulled

Done

Cohort retention calculated

Done

Commentary written and shared

Sent

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1

Connect your databases, analytics tools, and files with controlled access.

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Ask business questions or request specific analysis; Cairo retrieves data using precise SQL queries.

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3

Receive clear insights, explanations, and reports grounded in real data and full context.

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AWS, GCP, SQL databases, Google Analytics, Google Drive, Google Sheets, Excel files, BI exports, internal data sources.

AWSGoogle AnalyticsGoogle DriveGoogle Sheets

+ GCP, SQL databases, Excel files, BI exports, internal data sources.

“Klart AI is an essential tool for us on our day to day work. Given that we are in finance, it should give us the right numbers from thousands of excel sheets and it does it perfectly. Compared to other tools we have tried, this is impressive.”

Yusuf Bahri

Yusuf Bahri

CEO at BB&AC

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No. Access is read-only by design — it queries and analyses, and cannot write back to production systems. That constraint is enforced at the connection layer, not left to good behaviour.

No. You ask in plain language and Cairo writes the query — but it always shows you that query, so anyone who does know SQL can verify exactly what was run.

Because you can check it. The query, the source, and the row count come with every answer. If the data needed is not connected, Cairo says so rather than estimating.

It removes the queue of "can you pull this number" requests. Modelling, experiment design, and genuinely strategic analysis still need your analysts — with far more time for it.

AWS, GCP, SQL databases, BigQuery, Snowflake, Google Analytics, Google Sheets, Excel files, BI exports, and internal data sources.

Minutes after a source is connected. There is no semantic layer or dashboard project to finish first.

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