We bought these tools before we built one.
Between us, our founding team has spent over a hundred years in B2B customer sales, service and success. We bought most of the tools we now compete with. None of them ever added up to an operation that worked.
The same problem in every company we ran.
Different verticals, different sizes, the same problem every time. A stack of good products, some of them from the biggest names in the category, and still no straightforward way to run the operation. Each tool worked. Together they did not.
What sales promised, what delivery built and what success inherited were three different versions of the same customer. Reconciling them took a meeting.
A new hire spent their first quarter learning which of seven systems to trust, and who to ask when none of them agreed.
Every new customer added manual work, so we hired instead of fixing it. Customers noticed.
So we built what we kept trying to assemble: one customer record, shared engines underneath, and the work of three teams in one place.
Nothing the AI produces reaches your customer unless a person sends it.
Not as a default, and not as a setting an administrator can turn off. It is built into the product.
We know how that looks next to a demo of an agent sending the email itself. We would rather be on the side we can defend to your customer and your auditor. How it is enforced, on the Trust page.
If we cannot show you how a number was produced, we do not show the number. Health components, churn factors and model versions all appear next to the result.
Run on our infrastructure or an approved model inside your own environment, under your AI data policies, with a log of what was sent and why.
Permissions are checked on the server. The product refuses the request instead of hiding the button.
Judge us on the product.
A demo says more about us than this page can. Every one runs on your own data, and every screen on this site is a real capture.