Fund Discovery. Not Data Entry.
One AI-native platform that gives an academic team the coordinator, data manager, and monitor the grant never funded - compliant enough to survive an inspection, open enough to outlive the grant.
Gain the coordinator, data manager, and monitor your grant never funded.
In most IITs, the PI is the operations department. Carelane's AI does the coordinating-center work a grant can't hire for - so your team stays on the science, not the spreadsheets.
- Study build, no data manager. CRFs, edit checks, and the study database generated straight from your protocol.
- Site tasks that run themselves. Automated reminders, query generation, and visit tracking stand in for the coordinator you couldn't fund.
- Continuous reconciliation. Data cleans as it arrives, not in a scramble before lock.
Pharma-grade ops, without the pharma price tag.
The tooling REDCap can't give you, priced to fit the award.
REDCap is free until it isn't. The moment you need real Part 11, a working CTMS and eTMF, or automated cleaning, someone on your team rebuilds it by hand. That hidden labor is the real cost. Carelane gives you the commercial-grade stack at a number that fits inside the grant line.
- One platform, not a patchwork. EDC, CTMS, and native randomisation - no integrations to maintain, no seams to staff.
- Priced for academic budgets. Built to sit on a grant line, not clear a pharma procurement cycle.
- No hidden rebuild cost. The staff time you'd spend recreating compliance in a free tool, you keep.
“A PI shouldn't have to choose between doing the science and running the trial. We built the ops team the grant was never going to pay for.”
Built to survive an FDA inspection, not just to collect data.
A free or homegrown tool will collect your data. It won't defend it. Under an IND or IDE, an academic trial faces the same inspection standard as pharma - exactly where spreadsheets and unvalidated builds turn into findings.
- Part 11 by default. Every action logged, timestamped, and attributable - an audit trail that's a property of the system, not a week of prep before an inspection.
- Validated, so you don't have to be. Arrives with the validation documentation an inspector expects.
- Human-in-the-loop on every AI action. The system proposes, a person approves. No autonomous clinical decisions.
Your data outlives the grant - and the vendor.
Academic work has to stay reproducible, publishable, and shareable long after the study closes. Carelane is 100% FHIR-native, so your data lives in open standards from the moment it's captured - never trapped in a proprietary model you have to escape later.
- 100% FHIR-native. Not exported to FHIR on request. Built on it - interoperable from day one.
- Data management plans, handled. NIH DMS or Horizon Europe DMP - satisfied at proposal stage.
- No lock-in, ever. Open formats, no extraction fees. Your institution owns the data and its governance. Not a vendor.
An ops team you couldn't hire, priced for the grant, ready for inspection, open for good - it adds up to one thing. The funding goes back where it belongs: the science.
Put the grant back on the science.
No deck, no demo theatre. Bring your protocol and your budget, and I'll show you where the hours and the dollars come back. Let's chat.
