INTRODUCING ZENTARRA

Ask your data.
Understand the answer.
Use it again.

Zentarra is AICowan’s AI analytics product for teams with recurring reporting questions. Ask in plain English, inspect the definitions and checks behind a result, and save useful analyses for the next reporting cycle.

Request an evaluation ↗Apply for the free beta

Free beta for exploration and feedback. Guided team evaluations: 30 days, up to five users, charges agreed before setup. Compare access options.

FROM QUESTION TO UNDERSTANDING

ILLUSTRATIVE DEMO

YOUR ANALYTICS WORKSPACE✧

How did our revenue perform this quarter?

Zentarra

Revenue reached £284,000 this quarter, up 18.3% compared with the previous quarter.

Quarterly revenueGBP · thousands

180

210

240

284

◉ Sample sales dataset4 quarters

Understand this answer +

This example adds revenue for each quarter. Growth compares Q4 (£284,000) with Q3 (£240,000). All values are fictional and demonstrate the proposed experience.

↗

Go beyond the number.See the thinking behind it.

ZENTARRA BY AICOWAN

Business questions.
Meaningful answers.

LESS FRICTION. MORE UNDERSTANDING.

An answer is just
the beginning.

Your next decision needs more than a number. Explore the context, follow the logic, and turn a useful question into repeatable insight.

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.

“Which products are driving growth?” ↗

02 / UNDERSTAND

Look behind the answer.

Make sense of the sources, assumptions and query logic behind your results. Bring informed judgement to your next decision.

An answer with context. ↗

03 / REUSE

Keep the useful questions.

Save analyses you return to regularly. Make recurring business questions easier to revisit as your data changes.

Good questions deserve a second look. ↗

WATCH THE PRODUCT

Look beyond
the answer.

Gary’s 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.

Trust & data quality walkthrough

Watch the Zentarra walkthrough

Opens on YouTube. No video player is loaded on this website.

Read the walkthrough overview →

INSIDE ZENTARRA

A real question.
A result you can explore.

See Zentarra in action: return costs grouped by reason, a visual comparison, and the supporting figures together in one workspace.

Zentarra results for Show total return cost by return reason, combining all years: a blue bar chart, eight result rows with return cost and returned shipments, CSV export, and a displayed trust score of 100 out of 100. — Actual Zentarra interface. This captured result shows its trust score alongside the chart and detailed figures; scores depend on the query and its checks. Explore Zentarra’s capabilities ↗

Read the screenshot as text

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.

Figures displayed in the screenshot (no currency specified)
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