Starting prices for each kind of project, what moves the number, and a quick estimator. No "contact us for pricing" wall.
Pick what you need and how big it is. You'll get an indicative range, and we'll come back with an exact one after a short call.
The same four things decide whether a project lands near the starting price or well above it.
Every extra platform, ERP or CRM to connect is its own set of rules, limits and edge cases.
A documented connector is quick. An old system with a half-documented API takes longer to get right.
More history and bigger tables mean more work to load, verify and keep cheap to run.
Alerts that name the failing file or order, plus support after launch, are scoped separately from the build.
So nothing turns a quoted price into a surprise.
Runs in your own cloud account, at your cost. For scale: the hourly ad-reporting pipeline in our case study costs roughly $80 a month to run.
Licences and API usage charged by the tools involved (ad platforms, document AI, marketplaces) are paid to them, not to us.
Keeping a system healthy after launch is quoted on its own, so you only pay for the support you actually want.
Short, and you deal with the engineers who build it.
You tell us what hurts. We tell you honestly whether we're the right fit.
What gets built, how long it takes, and the price, in writing, before we start.
Production-grade from day one, tested against your real data, not a demo.
It goes live with monitoring, so when something breaks you hear about it first.
They're starting points. After a short call we scope the work and confirm the exact figure in writing. The estimator above shows the range most projects fall into.
A working system running in production, in your own cloud account, with monitoring and alerts, not a slide deck or a prototype.
The approach is the same on NetSuite, SAP, Oracle, Odoo, Shopify, Slack, Teams and most ad platforms. What changes is the connector, not the method.
Yes. Marketing analytics starts at $2,000 and takes about two weeks, which makes it a natural first step before something larger.
The engineers who build it. No account managers and no layers between you and the person writing the code.
We reconcile against a source of truth before anything goes live, down to the individual entity rather than just the total. Our case studies show examples of what that catches.
Tell us where it hurts, and we'll point you to the right starting point, even if that's not us.
