About 10 crore rows
About 100 times an Excel sheet, still one workbook.
Analytical reporting
Analytical reporting for larger data.
ADIYAS connects the ERP, databases and files you already run. You ask in plain language. The answer opens as a workbook and a dashboard your team can filter, share and audit, up to about 10 crore rows, in one place.
For CFOFor Finance teamFor Business AnalystsFor CIO
A familiar grid
Formulas, pivots and freeze panes. No retraining.
Governed
Encryption, roles, audit and Microsoft SSO.
Chat to report
Ask in plain language. Receive a workbook.
A question against connected data.
The answer opens as a report and a sheet to filter and share.
There is no queue for someone to build the file.
How you use it
Connect. Ask. Analyse. Share.
Link the sources once. The connection is reused across reports.
- 01
Connect
Link Oracle, SQL, SAP, MySQL, PostgreSQL, ERP, lakes and files once.
- 02
Ask
Ask the way you would ask a colleague. The ADIYAS AI engine turns that into a query on your sources.
- 03
Analyse
Open the answer in a ribbon grid. Filter, formula and pivot. Saira helps with formulas and charts beside the cells.
- 04
Share
Pin a dashboard from the same numbers. Microsoft SSO and an audit trail travel with it.
Included
Workbook and Chat to Report
The monthly user fee covers these two. Nothing else is assumed.
Workbook
The spreadsheet your teams already know
- Formulas, filters, pivots and charts.
- 100 million rows. Excel stops at 1,048,576.
- One shared workbook, with roles.
- Audit trail and Microsoft SSO.
Chat to Report
Ask in plain language. Receive a workbook.
- A question against connected data.
- The answer opens as a report and a sheet to filter and share.
- There is no queue for someone to build the file.
Optional modules
Added when you need them
Each module is scoped and priced on its own.
GST reconciliation
Match the SAP books to the GST returns automatically, inside the same product.
Sales planning
Plans and actuals for the sales team.
Dashboards and channels
Live views, and requests from WhatsApp or Teams. A proprietary model, hosted on your VM.
Your question
What happens after you ask
With a model-only tool
- You export or paste a slice of your data into the chat.
- The model drafts an answer, a chart or SQL, and meters every token.
- Someone still runs it, fixes it and emails a file.
- Next month, your team pastes the file again and pays again.
With ADIYAS
- Your ERP, SQL, SAP, lakes and files stay connected.
- The model sees your question and the schema, then writes a query.
- You get a workbook. Filter, pivot and formula.
- The same report refreshes. The rows are not pasted back into the model.
What your finance team opens on Monday is the report. The chat is only where the question started.
Side by side
How this looks for your team
| Model-only tool | ADIYAS | |
|---|---|---|
| Where your data lives | In the prompt, the upload or a sample | On the sources you already run |
| What you get back | An answer to read | A workbook your team can work |
| How much data | Whatever fits in the chat | Up to about 10 crore rows in one file |
| Why the figure holds | The reply sounds confident | A query on your sources returned it |
| Next month | Ask again, then reconcile by hand | Refresh the same governed report |
| Who on your team sees it | Whoever has the chat | Roles, Microsoft SSO and audit |
| Where it runs for you | The model vendor's cloud | SaaS, your private cloud or on-premises |
| What the model is billed for | Every cell you paste, every time you ask | The question and the schema. Not the rows. |
About 10 crore rows is about 100 times Excel's per-sheet cap. Keep your model for language. Use ADIYAS when the number has to live in a report.
Questions we hear
Answered plainly
Our AI already analyses our files.
It analyses the extract you pasted, and bills tokens for every cell. That extract is stale the day you paste it.
It writes the SQL for us.
That SQL still has to be run and handed to your finance team. ADIYAS gives you the workbook.
We don't want another chatbot.
You are not buying another chat window. You get the grid, the connection and the audit. The model is only how you ask.
Our data cannot go to a public model.
We can run ADIYAS as SaaS, in your private cloud, or on-premises, inside the boundary your IT has set.
Let's try one question from your data.
Pick a report you currently paste into a chat. We connect that source. You ask it once in ADIYAS. We open the workbook together. If a chat can answer it from a file that fits on your screen, keep the chatbot for that job. If your finance team needs the same number next month, that is the pilot: filterable, shareable and audited.