01 / ASK
Start with a question.
Explore your business data in plain English. Spend more time asking useful questions and less time working out how to write the query.
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AICowanDATA. INTELLIGENCE. CLARITY.ZENTARRA BY AICOWAN · NOW IN BETA
We’re inviting individuals and businesses to trial Zentarra, AICowan’s AI analytics product. Ask business questions in plain English, explore the checks behind each answer, and share your feedback to help shape the product.
No payment details or connection to your own database required. Applications are reviewed before access is confirmed.
ACTUAL PRODUCT SCREENSHOT
The five customers have 98 failed deliveries in total. The captured result displays a trust score of 0/100 and warns that model completeness is low and column meanings may be unclear. These checks are part of the product experience; this result needs review.

ZENTARRA BY AICOWAN
Business questions.
Meaningful answers.
LESS FRICTION. MORE UNDERSTANDING.
Your next decision needs more than a number. Explore the context, follow the logic, and turn a useful question into repeatable insight.
01 / ASK
Explore your business data in plain English. Spend more time asking useful questions and less time working out how to write the query.
02 / UNDERSTAND
Make sense of the sources, assumptions and query logic behind your results. Bring informed judgement to your next decision.
03 / REUSE
Save analyses you return to regularly. Make recurring business questions easier to revisit as your data changes.
WATCH THE PRODUCT
Our recorded walkthrough explores data-quality validation, trust scores, freshness indicators and analysis blocking when critical checks fail.
This recording demonstrates an earlier stage of Zentarra. The current interface and available configuration may differ. See the Product page for the current 4.5 capabilities.
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Read the walkthrough overview →INSIDE ZENTARRA
See Zentarra in action: return costs grouped by reason, a visual comparison, and the supporting figures together in one workspace.

Zentarra V4.5 answers: “Show total return cost by return reason, combining all years.” The result has eight rows and three columns. A bar chart compares return costs; further categories are available through its horizontal scrollbar in the captured application.
| Return reason | Return cost | Returned shipments |
|---|---|---|
| Recall | 155,194.75 | 3,447 |
| Address issue | 151,620.82 | 3,429 |
| Damaged | 151,444.83 | 3,447 |
| Wrong item | 150,138.73 | 3,438 |
| Failed delivery | 148,428.20 | 3,446 |
| Customer refused | 146,778.51 | 3,432 |
| No longer required | 10,590.75 | 100 |
| Duplicate order | 9,450.16 | 108 |
The captured result displays “Trust score: 100/100 · Safe” and says it uses saved definitions and checks. This describes the captured checks, not a guarantee of correctness. It also reports “Save-ready rerun unavailable: unsupported shape”.
The interface shows a displayed-values CSV option, Export CSV and View details controls. These are part of the static screenshot, not interactive controls on this website.
TAKE THE NEXT STEP
Evaluate Zentarra using synthetic business data, with support to get started. Access normally lasts 30 days.
What’s included ↗Understand permissions, Azure hosting and how AI services use relevant context.
Read about data handling ↗Built and sold by AICowan, an independent UK business focused on data and analytics. Get in touch about your reporting questions.
Meet us & make contact ↗
YOUR NEXT QUESTION COULD CHANGE THINGS
Start with an enquiry. We’ll discuss the next steps.