TrialsGuard scores any registered clinical trial protocol with a calibrated 0–100 termination risk index — powered by machine learning, explained in plain English.
Sponsors, CROs, and oversight bodies have no quantitative early-warning system. Decisions about which trials to fund, monitor, or insure are made on instinct and spreadsheets.
Every year, failed clinical trials consume research budgets, delay therapies, and erode investor confidence — with zero predictive infrastructure to prevent it.
1 in 12 registered trials are terminated or suspended before reaching their endpoint — due to poor recruitment, sponsor failure, design flaws, and resource shortfalls.
Oversight committees, insurers, and ethics boards rely on subjective review. There's no calibrated, explainable score to benchmark one protocol against the historical risk landscape.
TrialsGuard reads a trial's registered protocol and outputs a calibrated termination risk score — before enrollment begins.
Scores any registered trial by protocol ID in under one second. No manual data entry. No waiting.
Score draft protocols before registration. Catch design flaws and risk factors while there's still time to act.
Every score is explained with SHAP-based risk drivers in language your team can present to stakeholders and boards.
Deployable as a full dashboard, REST API, or embedded analytics module — integrates with your existing workflow.
Not a binary pass/fail — a probabilistic termination risk index calibrated against thousands of historical trials.
Monitor your entire trial portfolio at a glance. Surface the highest-risk trials before problems escalate.
Provide a trial protocol ID or upload a pre-registration protocol document. TrialsGuard parses all structured fields automatically.
Our gradient boosting model, trained on 400,000+ historical trials, evaluates recruitment patterns, sponsor history, design complexity, therapeutic area, and 60+ additional features.
Get a 0–100 risk score with ranked SHAP explanations, comparable benchmark trials, and recommended risk mitigation actions — in under one second.
Prioritize R&D portfolio allocation. Identify high-risk trials before committing resources. Satisfy board and investor risk disclosure requirements.
Score incoming trial contracts before accepting. Flag protocol design risks for client review. Improve delivery success rates across your portfolio.
Supplement subjective protocol review with quantitative risk metrics. Identify patterns across submissions and allocate oversight resources accordingly.
Underwrite policies with data-driven risk scores. Build actuarial models on calibrated trial-level termination probabilities.
Join the waitlist for API access or schedule a live demo with our clinical AI team.
TrialsGuard was founded by clinical data scientists and former CRO executives who experienced the cost of late-stage trial failure first-hand. Our model is trained on a comprehensive dataset of 400,000+ historical trials, peer-reviewed, and calibrated to ensure probability estimates — not just rankings.
We believe every dollar lost to a preventable trial termination is a patient who waited longer for a therapy that could have helped them.