Beaconcure offers Verify, an automated solution utilizing machine learning and natural language processing for the validation of clinical trial statistical outputs. This technology enhances data accuracy and accelerates regulatory approval processes, enabling faster market entry for new drugs and vaccines.
Funding
$20.7M 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.
Founders
Product
Problem
The manual validation of statistical outputs in clinical trials is a time-consuming and error-prone process, potentially delaying regulatory approvals and hindering the timely delivery of new drugs and vaccines to market. Traditional methods struggle to efficiently handle the increasing volume and complexity of clinical trial data, creating bottlenecks in quality assurance workflows.
Solution
Beaconcure's Verify is a Software-as-a-Service (SaaS) platform that automates the validation of statistical analysis outputs from clinical trials using machine learning (ML) and natural language processing (NLP). Verify converts static outputs into a dynamic, structured database, making data more accessible and freeing it from the limitations of traditional document formats. The platform accelerates regulatory approval and time-to-market by reducing human error and enabling faster quality control (QC) tasks. Verify also facilitates team collaboration by providing a shared workspace for each study.
Target Audience
The primary target audience includes clinical trial quality assurance teams, statistical programmers, and pharmaceutical companies seeking to accelerate regulatory approval and improve the accuracy of clinical trial data.
Features
- Automated validation of statistical analysis outputs using ML/NLP
- Conversion of static outputs to a dynamic, structured database
- Team collaboration features per study
- Reduction of human error in clinical trial data validation
- Facilitation of faster quality control (QC) tasks