Build studies around the patients who exist today, not the ones you hope will appear once the trial goes live.
Support eligibility criteria, endpoints, and timelines with evidence from historical trials and real-world data.
Identify recruitment and feasibility risks before they become amendments, delays, and missed milestones.
See the full competitive picture across pipelines and assets.
Design protocols real patients can qualify for and complete.
Place trials where the right patients and capable sites meet.
Reach the right patients at the right moment.
Spent by sites on feasibility assessments and qualification visits in 2024
of Phase I–IV protocols undergo at least one amendment
Median direct cost of a substantial Phase II or III protocol amendment
approved sites under-enroll, while 11% enroll no patients
Test eligibility criteria against real-world patient populations before the protocol is finalized.
Compare endpoints, eligibility criteria, timelines, and enrollment performance across successful trials.
Evaluate enrollment trends, competitive activity, and emerging risks across comparable studies.
Curated trial intelligence, 60K+ trials with enrollment performance actuals, available in-platform or via API.
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Trial success starts with the patient. Patient Intelligence combines epidemiology, standard of care, and real-world patient journey data to show where patients are, how they’re treated, and which providers care for them, helping teams design studies around real-world clinical reality.

Understand how many patients meet your study requirements.

See how patients move through diagnosis, treatment, and referral.

Identify risks earlier and make more informed protocol decisions.
Curated trials
Sites across 185 countries
Years of clinical intelligence
Validated accuracy

Analyst-curated intelligence, not raw aggregation. AI supports decisions while your team stays in control.

57%+ more coverage than ClinicalTrials.gov, drawn from sources no public registry captures.

30+ years of analyst-curated trial, site, and patient intelligence.
| The Traditional Approach | The Trial Design Workflow |
|---|---|
| Trial, patient, site and competitive intelligence reviewed separately | Trial, patient, site and competitive intelligence connected in a single workflow |
| Eligibility criteria designed first, recruitability validated later | Eligibility criteria evaluated against real patient populations during design |
| Feasibility assessments built through multiple manual analyses | Feasibility informed continuously throughout protocol development |
| Recruitment risks often discovered after launch | Recruitment risks identified earlier in planning |
| Decisions rely heavily on expert judgement and fragmented evidence | Decisions supported by patient intelligence, clinical data and AI-assisted recommendations |
By identifying recruitment and feasibility risks earlier, Trial Design helps teams make better-informed protocol decisions before study launch.