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Build, Validate, and Submit Clinical Trial Analyses

Based on Traceability. Empowered by AI.

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Full study traceability

Verisian uses graph analytics to transform code and logs into a knowledge graph representing all derivations and their interdependencies. All upstream dependencies and downstream effects of any derivation are accessible across study programs, providing full transparency and quality control.

Bring AI to your clinical trial analysis

Verisian AI co-pilots are trained on traceability-aware clinical analysis code and fine-tuned for quality. These co-pilots can be tuned to company or indication-specific contexts and write code, fix bugs, debug logs, and generate documentation and metadata.

Delivering Quality and Insight

Trusted by Industry Leaders

Verisian's approach to overcome traditional methods in the clinical programming field using graph-based tech will revolutionize the industry, paving the way for efficient and cost-effective solutions in the future.

Ankur Sangani

Senior Statistical Programmer,
ex-Agati Clinical Informatics

The technology Verisian uses is new and revolutionary: building traceability from code is exactly the right way to know what really happened in a study.

Oliver Wirtz

Head of Analysis Standards & Reporting Quality,
Bayer

Verisian is exactly what the pharmaceutical industry has been waiting for, easy traceability of programs and CDISC, SDTM and ADaM mappings which will streamline clinical trials for the future.

Claire Springett

Statistical Programmer,
AstraZeneca

Verisian is advancing the kind of change this industry badly needs. Their technology is fundamentally designed to improve the speed, clarity, and reliability of the clinical data reporting pipeline.

Kyle Ireton

Senior Statistical Programmer,
Syneos Health

Verisian is helping us scale our statistical programming services by streamlining our clinical programming framework. We’re excited about the potential!

Miguel Pereira

Executive Director and Biostatistician,
Cogitars UK

Verisian's approach to overcome traditional methods in clinical programming for e.g. SDTM and ADaM using graph-based tech will revolutionize the industry, paving the way for efficient and cost-effective solutions in the future.

Ankur Sangani

Senior Statistical Programmer,
ex-Agati Clinical Informatics

The technology Verisian uses is new and revolutionary: parsing study code and leveraging that is exactly the right way to know what really happened in a study.

Oliver Wirtz

Head of Analysis Standards & Reporting Quality,
Bayer

"The technology Verisian uses is new and revolutionary: parsing study code and leveraging that is exactly the right way to know what really happened in a study."

Oliver Wirtz, Head of Analysis Standards & Reporting Quality

Bayer

"Verisian is exactly what the pharmaceutical industry has been waiting for, easy traceability of programs and CDISC mappings which will streamline clinical trials for the future."

Claire Springett, Statistical Programmer

AstraZeneca

"Verisian is advancing the kind of change this industry badly needs. Their technology is fundamentally designed to improve the speed, clarity, and reliability of the clinical data reporting pipeline"

Kyle Ireton, Senior Statistical Programmer

Syneos Health

"Verisian is advancing the kind of change this industry badly needs. Their technology is fundamentally designed to improve the speed, clarity, and reliability of the clinical data reporting pipeline"

Kyle Ireton, Senior Statistical Programmer

Syneos Health

"Verisian's approach to overcome traditional methods in the clinical programming field using graph-based tech will revolutionize the industry, paving the way for efficient and cost-effective solutions in the future."

Ankur Sangani, Senior Statistical Programmer

ex-Agati Clinical Informatics

Why Verisian

Build Fast. Ensure Quality. Submit in Confidence.

Build

Build faster and higher quality studies through automation.

Easier code reuse across studies

Build SDTM, ADaM and TLF derivations faster using validated code extracted from previous studies.

AI co-pilot for clinical trials

Write better code for clinical trial analysis (including SDTM and ADaM), auto-generate documentation, and get help fixing bugs.

Develop and debug your code in confidence

See how datasets, variables, formats and codelists interact and understand upstream dependencies and downstream effects across your study.

Validate

Safeguard quality through automated quality control.

Guarantee the quality of your analyses

Identify root causes of code and data quality issues in your study quickly and accurately, ensuring your analysis is correct, robust, and transparent.

Ensure double programming validity

Continuously compare production and validation programs to ensure validity and prevent mistakes.

Monitor and verify SAP, SOP and GPP adherence

Configurable rule-based system monitors analyses for consistency with SAP specifications and SOP/GPP guidelines to boost consistency and quality.

Submit

Submit transparently with quality and confidence.

Prove the quality of your submission

Leverage a submission fitness score based on log, code, and analysis integrity to prove your analysis is robust and transparent.

Use full traceability for define.xml automation

Ensure SDTM, ADaM, and ARM define.xml sections are up-to-date and consistent.

Prevent inquiries from regulatory authorities

Grant regulatory access to full study traceability to speed up review and build trust.

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In the spotlight

Join the Verisian Community

Join any of our meetups around the world to connect in-person, or join our online community for virtual peer support and updates.

Join the community