Verisian offers a platform for clinical trial analysis that replaces manual double programming with Full Study Traceability. It accelerates submissions and approvals by mapping dependencies between specifications, code, and data, while AI co-pilots assist with code generation and documentation.
Funding
$4.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
DCFounders
Product
Problem
Traditional clinical trial analysis validation relies on double programming and manual processes, which are time-consuming, resource-intensive, and prone to errors. This outdated approach delays critical submissions and approvals, hindering the timely delivery of new treatments to patients.
Solution
Verisian provides a platform that replaces traditional double programming with Full Study Traceability, accelerating clinical trial submissions and approvals. By creating a comprehensive dependency graph of specifications, metadata, code, and data, Verisian ensures transparency and quality control across all aspects of a clinical study. This allows for faster, more confident decision-making, ultimately bringing life-saving therapies to market more efficiently. The platform also integrates AI co-pilots trained on this traceability data to assist with code generation, debugging, and documentation.
Target Audience
The primary target audience includes pharmaceutical companies, biotechnology firms, Contract Research Organizations (CROs), and regulatory agencies involved in clinical trial analysis and submission.
Features
- **Full Study Traceability:** Utilizes graph analytics to map dependencies between specifications, metadata, code, and data, providing end-to-end transparency.
- **Variable Traceability:** Isolates and displays only the code and data lineage relevant to a specific variable, significantly reducing complexity for analysis and validation.
- **AI Co-pilots:** Leverages study traceability data to provide evidence-based answers, generate code, debug, and create submission documentation.
- **Specification Validation:** Automates checks against study specifications and Statistical Analysis Plans (SAP) at a variable level.
- **Results Validation:** Enables TLF-by-TLF validation by reviewing results, underlying data, and derivations.
- **Validation Tracker:** Manages and tracks validation issues, linking findings directly to specific variables, datasets, or results for streamlined resolution.
- **Data Explorer:** Provides an intuitive interface for exploring, reviewing, and visualizing study data with integrated traceability.
- **Tracer:** Allows detailed exploration of datasets, variables, TLFs, and macros to understand dependencies and derivations.
- **Git-style Version Control:** Automatically versions all analyses, facilitating collaboration and tracking changes throughout the study lifecycle.
- **Enterprise-Grade Security:** Implements robust security protocols, including role-based access control, end-to-end encryption for data at rest and in transit, and secure cloud infrastructure.