We don’t just supply the data. We pair real-world patient data with our own verified site and investigator records, and our team turns them into a ranked, explained shortlist for your protocol, in days. Built for mid-size CROs and biotech sponsors.
Most site selection still runs on inferred data and gut feel. The bill shows up later: in delays, rescue sites and amendments.
Real, patient-level data changes the odds. How real-world data works for trials → See a real case study → · The full cost of guessing, with sources →
Industry benchmarks: Tufts Center for the Study of Drug Development.
Most data vendors hand you a license and leave the analysis to your team. We bring the evidence and do the work: real, longitudinal patient data plus our own verified intelligence on research sites and investigators, turned into the answer for your protocol. How real-world data works for trials →
Most site selection leans on one view: patient volume, or investigator reputation. Each misses the other, so the “best” sites miss and patient-rich sites can’t enroll. Only the sites that hold up on the full picture make our shortlist.
Site and investigator intelligence on real patient data, delivered as a solution, not a tool you have to run. An embedded team that works alongside yours: send us your protocol, and we hand back the answer, without adding to your headcount.
Share the study and its inclusion/exclusion criteria. That’s all we need to start. No software to install, no tool to learn.
Our forward-deployed team runs your protocol against real, patient-level data: the qualifying patients, and the investigators who can actually enroll them, ranked with the reasoning shown.
A ranked, defensible shortlist: real qualifying-patient counts, named investigators, contacts included. Ready for your bid defense. Down to a number, not inferred.
However you want to work with us: fully delivered by our team, or a self-serve option as you scale.
The big platforms are designed around the largest pharma companies and the teams to run them. We work the way a mid-size CRO wins business: on the RFP clock, in your template, as part of your team.
An answer in days, while the proposal is still being written, not after onboarding a new platform.
The deliverable is yours to present. The evidence stands on its own in the bid defense, and we stay in the background.
We work for your feasibility team, alongside it. Every number comes with the reasoning to defend it to your sponsor.
We work with real patient data, so how we handle it matters as much as what we find. Privacy, expert oversight and confidentiality are built into the way we work, not bolted on.
We work exclusively with de-identified real-world data. No patient-identifying information appears in our analysis or our deliverables: we report counts, never identities.
Our AI does the heavy lifting, but clinical experts review every result before it reaches you. People stand behind the answer, and material judgments are never left to the model alone.
Your protocol and study details stay yours. Every analysis is scoped to your engagement, and nothing you share is used for anyone else.
A sponsor designing a rare disease trial had world-class KOLs at the design table, and still no one could answer the question the whole program hinged on: how many patients would actually qualify? A KOL sees their own clinic. Our data sees the whole country.
How many patients would actually qualify under the draft criteria, and which criteria were costing the most?
Tested the draft protocol against real patient data, then found the investigators best placed to enroll the patients who qualify.
Nearly 3× the qualifying patients, same scientific intent, and a site list that included strong sites the usual lists miss, before a single site was activated.
Clinical trial feasibility is the assessment of whether a study can realistically enroll: how many patients actually qualify, which investigators can enroll them, and how fast. We answer it from real, patient-level data across every U.S. institution, not questionnaires or estimates. How clinical trial feasibility works →
We rank sites on evidence: whether each site has patients who meet your protocol, and investigators with the record to enroll them. The result is a ranked, defensible shortlist built for your protocol, with the reasoning behind every rank. How AI site selection works → Rare disease site selection →
A bid defense is the meeting where a CRO justifies its proposed sites and enrollment plan to a sponsor. We give you real-world evidence for every site on the list: the qualifying patients it treats and its investigator’s record, so the sponsor can check the plan instead of taking it on trust. More on winning a bid defense →
Real, de-identified, longitudinal patient-level data from routine care. Feasibility and site selection rest on the actual patient record, not a snapshot or an estimate. Why real patient data →
Yes, a full-service one. We work from real-world, patient-level data and our own verified records on research sites and investigators, and we do not stop at the raw data. For each protocol our team turns it into actionable intelligence: the patients who meet it, the sites that treat them and the investigators behind them, in days and in your own template. Real-world data for clinical trials →
No. AI does the heavy lifting, but it runs on our data and our codified expertise, and clinical experts review every result before it reaches you. Every rank comes with its reasoning, so you can defend it to a sponsor line by line.