Clinvana provides a Human Protocol platform that adds a dedicated participation system to clinical trials, using AI‑assisted strategy and design to improve study branding, physician activation, and patient outreach without requiring new passwords or dashboards. The solution layers evidence and diagnostics onto sponsors' existing data, translating metrics like screen‑fail rates and retention into actionable insights that reduce recruitment friction and accelerate enrollment.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical trials frequently miss enrollment targets, causing delays and significant financial losses. Patient recruitment is the leading cause of these delays, with many trials taking longer than planned and incurring up to $500 K per day in lost revenue.
Solution
Clinvana offers a “Human Protocol” that adds a dedicated participation system to the existing scientific and operational frameworks of clinical trials. By applying AI‑assisted strategy, creative design, and measurement, the platform improves study branding, physician activation, and patient outreach without requiring new passwords or dashboards. It guides pre‑screening communications, consent orientation, and site coordination to reduce friction throughout the participation arc. The solution also layers an evidence framework on top of a sponsor’s existing data, translating metrics such as screen‑fail rates, retention, and site productivity into actionable insights that boost enrollment speed and quality.
Target Audience
Clinvana’s primary customers are pharmaceutical sponsors, contract research organizations, and clinical trial sites seeking to improve patient recruitment, retention, and overall trial timelines.
Features
- AI‑enhanced study brand and physician activation campaigns tailored to decision‑makers rather than the study itself
- Structured pre‑screening and consent communication pathways that reduce patient drop‑off before enrollment
- Site‑level diagnostics (e.g., screen‑fail rate, retention at 90 days, time to first patient screened) presented through the existing data infrastructure
- Continuous monitoring of patient and site experience to identify and mitigate friction points in real time
- Quantitative reporting that maps enrollment metrics to human‑focused actions, enabling data‑driven adjustments without additional platforms