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How Genivra Works:
Step-by-Step

From data upload to trial optimization, here's a detailed walkthrough of how our platform transforms your CNS trial strategy with AI-powered insights.

01

Connect Your Data

Begin by securely uploading your trial data, biomarker results, and protocol documentation.

Data Input Options

Upload Excel files, CSVs, EDC exports, or connect directly to your clinical data warehouse via API. We support CDISC standards (SDTM, ADaM) for seamless integration.

What We Analyze

Protocol details, patient inclusion/exclusion criteria, dosing regimens, primary/secondary endpoints, biomarker data (blood, CSF, imaging), adverse events, and demographics.

Data Security

Your data is encrypted end-to-end (AES-256), stored in HIPAA-compliant infrastructure, and never used to train models accessible to other customers.

Typical Upload Time

Most customers complete data upload in 15-30 minutes. Our team provides hands-on support for complex datasets or legacy systems.

02

AI Analysis

Our AI engine compares your trial against 10,000+ historical CNS studies to identify patterns.

Comparative Analysis

We match your trial against similar studies by indication, mechanism of action, target population, and design characteristics.

Failure Pattern Detection

Our models flag protocol elements historically associated with failure—such as overly broad inclusion criteria, suboptimal endpoints, or inappropriate trial duration.

Success Factor Identification

We identify which elements of successful trials (e.g., specific biomarker thresholds, patient enrichment strategies) are present or absent in your protocol.

Processing Time

Initial analysis completes in 5-10 minutes. Deep biomarker correlation and subgroup analyses may take 30-60 minutes for complex datasets.

03

Generate Insights

Receive actionable recommendations to optimize trial design and reduce failure risk.

Risk Assessment Report

A comprehensive report scoring your trial’s success probability across multiple dimensions (patient selection, endpoint choice, dosing strategy, trial duration).

Protocol Optimization

Data-driven suggestions for modifying inclusion/exclusion criteria, refining endpoints, adjusting dose selection, or implementing biomarker stratification.

Biomarker Insights

Identification of predictive biomarkers that correlate with success in similar trials, including thresholds for patient enrichment or stratification.

Benchmarking

See how your trial compares to industry averages and best-in-class designs for your indication, with specific areas for improvement highlighted.

04

Optimize & Execute

Implement recommendations and continuously monitor trial performance with ongoing support.

Implementation Support

Our clinical development experts help you translate AI insights into protocol amendments, statistical analysis plans, and regulatory submissions.

Ongoing Monitoring

Track your trial’s progress against predictive benchmarks. Our platform flags emerging risks and provides adaptive recommendations.

Iterative Refinement

As new data becomes available (interim analyses, biomarker results), re-run analyses to refine predictions and adjust trial strategy in real-time.

Regulatory Readiness

Generate reports suitable for FDA/EMA submissions, including methodology descriptions, validation evidence, and supporting literature.

Ready to Get Started?

See Genivra in action with a personalized demo using your trial data.

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