Product
Nobody has to leave Excel.
The spreadsheet was never the problem. The problem is that your team became the integration layer keeping it fed. Bi-directional sync keeps the models they already built running on live data, and pushes their changes back to the source, so the work stops dead-ending in a workbook.
Excel and Google Sheets. Your data never leaves your environment.
Your workbooks keep working
The models your team already built stay exactly as they are. Bi-directional sync keeps them running on live data instead of on an export somebody made three weeks ago and everyone quietly kept using.
No more CSV round trip
Pull any metric, any cut, any period straight into the sheet. No export, no download folder full of near-identical files, no waiting on someone to write SQL for a question you could have answered yourself.
Write back to the source
Push updates, classifications, and adjustments from the workbook back to the system of record. The work stops dead-ending in a spreadsheet that only one person knows how to refresh.
The same data your agents read
Your sheet, your dashboards, and your agents all read one governed model. When a number in Excel disagrees with the dashboard, that is normally a week of somebody's life. Here it does not happen.
Every tool that tried to replace the spreadsheet lost
There is a long list of software that asked teams to rebuild their models somewhere else, in a proprietary language, on the vendor's terms. The models came back to Excel within a year, because the spreadsheet is where people actually think.
We build the layer underneath instead. Your team keeps the tool they know; the data underneath it stops being a manual export. That is the whole trade.
Questions about spreadsheet sync
What bi-directional means, how it differs from a connector, and where your data lives.
Do we have to give up Excel?
No, and we would not ask. Excel is the most flexible analysis tool ever built, and every serious finance and sales team runs real work in it. The problem was never Excel. The problem is that it was never meant to be the connective tissue between your systems, so people became the integration layer. We fix that part and leave the spreadsheet alone.
What does bi-directional actually mean?
Data flows in and changes flow back. Live figures land in the workbook and stay current, and updates your team makes in the sheet can be pushed back to the source system. Most tools do the first half and leave you retyping the second half into the ERP or CRM.
How is this different from a data connector or an add-in?
A connector gives you a pipe to a table and assumes you know which tables to join and what the fields mean. We capture and model the data first, so what lands in your sheet is governed, defined, and traceable to the record that produced it. The sync is the last step of a build, not the whole product.
What is MCP and why does it matter here?
It is the protocol that lets an AI surface talk directly to your data. Practically, it means you can pull any metric into Excel, or ask Celeste for a cut, without exporting anything or pasting your data into a public chatbot. The analysis runs on your data, in your environment.
Does our data leave our environment?
No. The analysis runs on your data inside your own environment, governed by role-based access and full audit trails. Your data is never used to train an outside model and never pasted into a public chatbot.
Does this work with Google Sheets?
Yes. Excel is where most of the serious models live, so it gets the most attention, but Google Sheets is supported and works the same way.
Book a free discovery session on your sales system
A senior advisor walks your sales system with you: where the data actually lives, where the work piles up, and what is falling through. You leave with a map of the highest-value optimizations and a real read on what it would take to build them. No pitch deck, no slideware.