About

A spreadsheet that thinks with you.

Analysts spend half their week moving data. We're building the tab where it just works.

Rows are sacred

We never alter source data. Every answer traces back to rows.

Fast is a feature

A million rows should feel like a hundred.

Show the work

AI answers ship with the query that produced them.

How we test

Tested across 10 industries before every release

Every change runs 120 automated checks: ten synthetic industry workbooks, each asked twelve kinds of question. Expected answers are worked out separately, never by the engine being tested. We use made-up data on purpose — we don't test on customer data, and customer data doesn't train our models.

SalesManufacturingHRSaaSHealthcareEcommerceFinanceLogisticsSupportMarketing
  1. 01Totals and filtered sums
  2. 02Rates by group
  3. 03Combined-category shares
  4. 04Per-row thresholds
  5. 05Weighted averages
  6. 06What-if recalculation
  7. 07Period-over-period growth
  8. 08Weekday vs weekend
  9. 09Ranking within groups
  10. 10Distinct counts with duplicate IDs
  11. 11Zero and blank denominators
  12. 12Question-type routing
Read why fluent AI fails at business math

A new name, built on years of experience

Creeklytics is made by CreekData. We are just getting started with our own brand, but the people behind it have spent years working hands-on with data. We built the tool we always wanted: one that handles huge files, works with company data where it lives, and never makes up a number.

Data engineering

Years building pipelines, warehouses and lakehouses that companies run on every day.

Data analytics

We have sat in the month-end crunch and answered the same questions again and again.

Data science & ML

Forecasts, driver analysis and statistics that hold up when someone checks the maths.

Language AI (NLP)

Turning plain-English questions into exact calculations instead of guesses.

Data professionals from teams at Microsoft, AWS, Apple and Jio are exploring Creeklytics early and helping us improve it with honest feedback. Their company names show where they work, not an endorsement or a customer agreement.

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