Ask your spreadsheets and documents anything, in plain language, and get exact answers with charts, KPIs and citations.
Drop a CSV, Excel workbook, PDF or Word doc into your branded portal and start a conversation. No formulas, no SQL, no dashboards to build, your team gets accurate, source-cited answers in seconds.
Built for teams whose answers live in spreadsheets, not dashboards.
Ask Your Data
3 files connected · Ready
What was Q3 revenue per region?
EMEA $4.2M, Americas $3.8M, APAC $1.6M. Total $9.6M, +18% vs Q2.
Source: revenue_2025.xlsx · sheet "Q3"
They are limited when it comes to summarizing or really understanding the information inside a spreadsheet. That is exactly why this application was built. You can now ask any kind of question and the assistant will understand.
Classical assistants miss the real meaning of rows and columns and reply with rough estimates instead of facts.
When a number is not explicitly written in the file, the answer is invented rather than computed.
Questions that require reasoning across many lines fall back to text search instead of real computation.
Drop your CSV, Excel or document into a branded portal and ask any question in plain language. The assistant reasons across lines, computes the real numbers and returns exact answers with charts, KPIs and source citations.
Switch between the administrator branding workspace and the end-user chat experience.

Configure each portal: name, subtitle, logo, brand color, authentication and terms.
Pixel-for-pixel white label, multi-portal admin, ship a branded "Ask Your Data" experience in hours.
Aggregations, filters, ranks, joins across files, all from a chat box.
Numbers go through SQL, text through retrieval, mixed answers merged automatically.
Computed against your actual data. Totals, counts and averages always match.
Merged cells, multi-section sheets, EU formats, transposed tables, hidden rows.
Your logo, colors, copy, auth and domain slug. Pixel-for-pixel white label.
Ask 'what is this file telling me?' and get a clear, sourced summary of the rows, columns and key signals, even on files with thousands of lines.
Sum, average or count across hundreds of rows on the fly. The assistant computes the real number instead of guessing from a missing total line.
Ask 'how many orders above 10k in EMEA last quarter?' or 'which customers churned in March?' and get the exact filtered answer with the underlying rows.
Compare 2024 vs 2025, region vs region, or one CSV against another. The assistant reasons across the data and highlights the real differences.
Ask 'why did revenue drop in week 12?' and the assistant points to the rows, products or customers driving the change, with citations.
Ask one question across a spreadsheet and a contract or report. The assistant joins both sources and answers from the real data, not approximations.
One database schema per assistant. Two users can never see each other's data.
Only SELECT and WITH queries are allowed. DROP, DELETE and ALTER are rejected upstream.
Every generated query is validated against the tenant schema before it reaches the database.
Postgres on AWS RDS, Multi-AZ, Secrets Manager, S3 storage, structured logs and health checks.
The component touching your data holds zero LLM keys. LLM work is brokered separately.
Public, password, magic link or SSO per portal, with email allowlists and TOS acceptance.
