Your Partner in Biometrics

Empowering biometrics teams to lead the change in statistical analysis and reporting through AI innovation.

During TLF development

TLF

Verify reduces time and effort from ADaM to validated TLFs

Why Verify works

Verify is an integrated application layer that enhances speed, efficiency, and visibility

Speed biometrics workflows by unifying all TLF review roles within a fit-for-purpose platform built to enhance visible collaboration, accountability, and efficiency.

Dynamic collaboration and review

AI-enabled review of full TLF sets identifies issues early, reducing reliance on manual QC and double programming and freeing up statistical teams to focus on high-value analysis.

Accelerated quality TLF delivery

Our AI algorithms are continuously refined through metadata extraction and expert feedback, delivering faster, smarter validation as your study portfolio evolves.

AI that learns from your metadata

An automated activity log maintains a real-time audit trail to support oversight documentation, inspection readiness, and traceable internal and external collaboration.

Transparent oversight, built in

Your AI-enabled statistical analysis platform

Pfizer shortens submission timelines using Verify

Automating clinical trial data validation when the world needed it most

Prior to the onset of COVID-19, Pfizer understood the need to ensure clinical data accuracy in an automated manner and to structure the data in a way that provides insight into safety and efficacy. From the beginning of the pandemic, Pfizer used Verify to safely reduce its vaccine study time to submission for FDA approval, while maintaining the highest quality.

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Experts talk about Beaconcure

We formed a partnership with Beaconcure to enhance interactivity on tables, figures, and listings between CROs and sponsors. That piece of technology is providing a much better way for sponsors and the CRO community to communicate with each other, allowing the review processes for all of those documents to be completed much more quickly than before.

Graham Clark

CEO at Phastar

Beaconcure has taken the lead in automating a resource-intensive but mission critical business challenge, poised to improve quality and cycle time of regulatory submissions.

Craig Lipset

Former Head of Clinical Innovation at Pfizer

Using Beaconcure’s technology, you no longer have to compromise quality to meet timelines and stay within budget, and you have confidence that all deliverables, whether they be for regulators, data monitoring committees, clients or internal customers, will be of equally high quality and will be delivered on time.

Hugh Donovan

Former EVP of Clinical Research Services at Parexel

The objective of the collaboration with Beaconcure is accelerating the introduction of new drugs and vaccines to the market for the benefit of patients worldwide.

Pfizer

Statistical Programming Automation Department

Resources

All Resources

Case Study: How Phastar Uses Verify to Accelerate Clinical Data Review

Accelerating Clinical Data Review: Addressing Fragmentation, Improving Collaboration, and Reducing Review Cycle Times by 35% Industry Challenge: Disconnected Review Workflows, Lack of Automation, and Lengthy Data Review Cycles Clinical data analysis review remains a critical, yet often fragmented, element of the clinical trial process. Many organizations still rely on manual workflows, using email or instant […]
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Beaconcure Podcast: Clinical Trial Innovation – Spotlight on Quality, Review, and Collaboration

In this video podcast, Névine Zariffa, leading voice in biometrics and data science, and Beaconcure Co-Founder and COO Ilan Carmeli, discuss the future of technology in improving clinical trial efficiency and quality during statistical analysis review. Névine and Ilan discuss some of the challenges reviewers currently face using traditional review processes, and Ilan demonstrates new […]
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Blog

The Future of Statistical Computing: Environment Platforms

While an “ideal” Statistical Computing Environment (SCE) is highly sought for in the pharmaceutical industry, one is yet to be developed. To encourage tech business leaders to develop such a platform, experts from top global pharma companies have compiled their requirements for the ideal SCE. These requirements were published in December 2021 in a white […]
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BENEFITS OF AUTOMATING STATISTICAL ANALYSIS Blog

Benefits of Automating Statistical Analysis for Clinical Studies

The Current Status Statistical analysis output validation takes time and effort but does not guarantee a high-quality deliverable. Errors are still likely to go uncorrected. When submitting a study to the regulator, the expectation is that the output validation tasks -which are lengthy and expensive timewise –  will be done with impeccable accuracy.  The validation […]
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