Clinical Protocol Validator

Ensure compliance, consistency, and safety—by validating study protocols against standards, guidelines, and internal rules.

Challenges

Clinical development breaks when flawed protocols require mid-study changes. Preventable errors in study design lead to costly amendments, paused enrollment, and comprised data integrity.

Costly Protocol Amendments

The average protocol amendment costs nearly $500k and delays the study by months. Most amendments stem from avoidable inconsistencies in the initial document.

Inconsistent Schedules

Discrepancies between the text description of visits and the "Schedule of Assessments" table create confusion at investigator sites, leading to missed procedures and protocol deviations.

Ambiguous Eligibility

Vague inclusion/exclusion criteria (e.g., "uncontrolled hypertension") leave room for site interpretation, resulting in ineligible patients being enrolled and jeopardizing study data.

Regulatory Rejections

Missing standard safety language or failure to align with recent FDA/EMA guidance triggers regulatory questions that stall IND/CTA approval.

What Defines Us

shifting quality control upstream with semantic intelligence that "stress tests" the protocol logic before a single patient is enrolled.

Automated logic verification
Schedule of Assessment (SoA) cross-checks
Eligibility criteria standardization
Regulatory constraint mapping
Site burden analysis

Agent-Powered Protocol Assurance for Accuracy and Scale

Autonomous AI agents continuously ingest and analyze draft protocols (Word/PDF). These agents reason over complex medical logic, systematically cross-referencing the synopsis, detailed body text, and footnotes against the Schedule of Assessments to identify internal contradictions instantly.

Operational agents drive execution through automated validation workflows that simulate real-world patient pathways against eligibility criteria. Exception-handling agents manage edge cases by flagging logical gaps such as a procedure listed in the assessment table but missing from the visit description for structured medical writer review. Beyond consistency validation, intelligence agents deliver predictive insight by calculating the “site burden score” and “patient complexity index,” anticipating recruitment challenges based on protocol design intensity.

Clean, Executable Protocols – First Time Right

Drastically reduce the frequency of preventable amendments. Achieve the document quality required to streamline IRB/EC approval and site training.

0%

reduction in preventable protocol amendments

0%

decrease in protocol deviation queries

0%

internal consistency (Text vs. Tables)

See Protocol Validation in Action

Observe how your protocol drafts are evaluated instantly—errors, omissions, deviations all surfaced with context and audit traceability.

Verify SoA Consistency

Automatically detect if a lab test listed in the "Visit 3" column is missing from the "Visit 3" text description.

Standardize Eligibility

Flag subjective inclusion criteria and suggest quantifiable biometrics (e.g., replace "stable medication" with "no dose change > 30 days") to reduce enrollment errors.

Check Regulatory Compliance

Scan the protocol against current therapeutic area guidelines (e.g., oncology RECIST criteria) to ensure all mandatory endpoints are included.

Assess Feasibility

Visualize the procedural complexity per visit to identify "heavy" visits that may overburden sites or discourage patient retention.

Verify SoA Consistency
Standardize Eligibility
Check Regulatory Compliance
Assess Feasibility

Ready to Adapt, Grow, Optimize or Disrupt With Us?

Book a 30-minute consultation to find the best starting point