Build it, or buy it?Four pressures decide.
Nobody makes this call in one sitting. It arrives as an engineering estimate, then a customer escalation, then a board question about AI, then a pricing meeting. Each page below takes one of those pressures and works it through, so you can start with the one you're feeling now.
Each one, with its math shown
Every page names its source on the page, and every one says plainly where building in-house is still the right call.
The real cost of building in-house
$150K to $340K in year one, 6 to 12 months, and a maintenance tail that never ends. The math, line by line, with inputs you can rerun.
Everyone is asking when you ship AI
Anthropic's own analytics agent went from 21% to 95%+ answer accuracy on the same model. The model was never the hard part.
Your export button is a demand signal
Analytics rated 43% of an application's value a decade ago. Your customers want it even more now.
The premium tier you haven't priced yet
A median 25% price premium for analytics, set on static dashboards a decade ago. Build vs. buy decides when you start collecting.
Before you price the build,see what your data supports.
Start with one export, or challenge us with as many sources and connectors as you'd like. In 3 to 5 business days you get a branded 4 to 5 page report: what's clean, what's broken, and what to fix first. Free, and yours to keep.