Six products. One agent. Chat with your data, chat with your docs, write SQL, prep data, build virtual data lakes, publish trusted data products โ all from one workbench, all in plain English.
No more "ticket the BI team and wait two weeks." No more bouncing between Tableau, Alation, dbt, your SQL editor, and three other tools to finish one analysis. Ask anything โ get a chart, an answer, a dashboard, or a trusted data product your whole team can use.
Works alongside your analyst team โ scaling their output, capturing analytical patterns, and turning ad-hoc investigations into reusable data products that compound across the organization.
Most analysts juggle five-to-eight tools to finish a single piece of analysis: a BI tool, a SQL editor, a data prep tool, a catalog, a documentation tool, a chart builder. xAQUA collapses all of it into one agent that speaks plain English and works end-to-end โ from question to answer to trusted data product.
Business users have questions. Analysts have queues. Data engineers have backlogs. Tools don't talk. The answer arrives two weeks late โ if at all.
A modern analyst switches between five-to-eight tools to finish one analysis: BI tool, SQL editor, catalog, prep tool, dbt, Slack. Every hand-off loses context. Every login is a tax. Every reconnection breaks something.
Business users wait days for an analyst to write a query. Analysts wait weeks for data engineering to fix a join. Everyone waits. The strategic question becomes a tactical question becomes a stale question.
One analyst figures out the customer LTV calculation. The next quarter, a different analyst rebuilds it from scratch โ slightly differently. Nobody captures the pattern. Every analysis is one-off, every workaround is private.
Ask anything. Prepare anything. Combine anything. Publish anything. All in plain English, all from one agent.
Six licensable Platform Capabilities, organized into four capability arcs. License them individually or get them bundled in an Edition.
Ask any question of any structured dataset in plain English. Returns answers with full lineage and source attribution. Sub-second response on the Analytics Data Lake.
โ liveAsk questions of your documents โ PDFs, manuals, contracts, reports. Returns grounded answers with page-level citations and source quotes.
โ liveVisualize and explore any dataset. Build charts, dashboards, and ad-hoc views. Drag, drop, drill โ or just describe what you want to see in English.
interactivePlain-English data preparation. Cleanse, transform, join, deduplicate, fix outliers โ all described in English. No Python, no SQL, no scripts.
ai-poweredPublish trusted data products to the marketplace โ Customer 360, Product Performance, Risk Posture. Browse, subscribe, govern. The whole organization compounds your work.
โ governedGenerate, edit, and explain SQL with AI. Describe the query in English and get a runnable, optimized query against your data lake. Or paste SQL and get plain-English explanation.
ai-generatedCombine data from any source โ files, databases, SaaS apps, APIs โ into one virtual data lake. Query everything together. No data movement, no replication, no overnight ETL.
Build a lake in minutes, not months. Hot = loaded into memory for sub-second queries. Cold = stored but not loaded; flip to hot when you need it. No data is ever copied or moved.
From a curious business user to a senior analyst publishing a data product โ same agent, same workbench, same plain English.
Different skill level. Different question. Same workbench.
The AI Data Analyst is your unified analytical agent. Every kind of analytical work โ from a business user's quick question to a senior analyst's publishable data product โ happens through one interface.
It doesn't just answer. It understands intent, picks the right module for the job (chat with data, chat with docs, visualize, prep, query, publish), respects your governance, and returns answers with full lineage and source attribution.
Tableau answers one question. dbt builds one model. Alation describes one column. The xAQUA Analyst does all of it โ and turns ad-hoc work into reusable data products.
The AI Data Analyst takes the routine 80% โ repetitive SQL, messy file prep, chart building, writing documentation โ so your humans can spend their time on the 20% that actually needs judgment: framing the right question and interpreting the answer.
"One analyst completed a Salesforce data migration in under six weeks โ a project that had stalled for over a year."
All operating on the same semantic layer. All part of your AI Data Team.
See how the AI Data Analyst collapses five-to-eight tools into one conversation โ and turns every ad-hoc answer into a reusable data product. Live in three weeks. Private by default. Works on the data you already have.