Every small business is sitting on the data it needs. It's in the export from their POS, the sales sheet the team updates by hand, the workbook with twelve tabs nobody wants to open. The numbers are all there. What's missing is someone to read them and say, plainly: here's what's working, here's what you're missing, here's what needs attention.
Big companies hire an analyst for exactly that. Everyone else forwards the spreadsheet to the one friend who's “good with data” and hopes for a reply. We were that friend. Again and again the questions were the same, and so was the frustration: the answers were an hour of pivot tables away, and half the time the data itself was messier than anyone realized.
The tools on offer didn't help. Spreadsheets are manual. Enterprise BI is overkill you have to learn. And the new wave of AI tools would happily invent a confident number that was simply wrong, the worst possible trait in anything you'd put in front of your board.
So we built Dashlytics around a single rule: the machine does the math, the model only writes the story. Every figure is computed deterministically from your data. The AI narrates; it never guesses. And because real data is messy, we made the product tell you how far to trust itself, the Data Readiness score is our way of never bluffing.
We don't have a wall of logos yet. We're new, and we'd rather earn your trust the way a good analyst does on day one, by being rigorous, showing our work, and being honest about what the data can and can't say. If that's the kind of analyst you've been wishing for, we built it for you.
The Dashlytics team
Building the analyst every business wishes they had.