Our AI agents do the finance work your team doesn't have time for. Reconciliation, invoicing, collections, and sponsor follow-ups. All handled. Not another tool to learn.
"They are catching things I would have never caught, and pursuing things I would have just gave up on."
"Using them has literally taken the hours to five minutes."
"I've just been surviving. This takes me out of the guesswork."
"Everybody needs help with billing. When people tell you they don't, they do -- because they don't have this."
Your financial data lives in six places that don't talk to each other. Your CTMS, contracts, sponsor portals, bank statements, spreadsheets, and email. So invoices go out late. Payments take 90+ days. And revenue you've earned just sits there uncollected. Not because you're doing anything wrong. Because no one has time to do the work.
We connect every system, identify exactly what you're owed, and go collect it. Invoices, follow-ups, escalations. All of it. You get an update. We do the work.
We read your entire CTA. Every amendment, every rate table, every conditional procedure. Nothing billable gets missed. No more digging through 40-page contracts yourself.
We generate invoices that match your contract exactly, formatted the way each sponsor requires. No more rejections because of a missed line item or the wrong template.
Every invoice gets followed up on. Every two business days until it's paid. No matter if it's $450 or $10,000. Sponsors aren't used to someone staying on top of them. That's the point.
Screen failures, annual fees, conditional procedures, autopay items that never came through. Our customers were leaving 20-30% on the table before we showed up. We catch all of it.
What's been invoiced. What's been paid. What's outstanding. What's overdue. By study, by patient, by sponsor. No more spreadsheets. No more guessing.
Other services charge 10% of every invoice. We charge a flat monthly rate per study. Predictable, affordable, and the work we do would cost $60-100K a year to hire for.
Two founders. Both spent years building and automating payment systems at some of the largest fintech companies in the world. Processed billions in volume. Now applying that same playbook to clinical research, where the finance work is still done by hand.