People Depend Upon Your Data: 
Verify Provides Trust

Verify is an intuitive statistical analysis validation software that saves critical time and reduces human error, accelerating regulatory approval and speed-to-market.

* ROI measurements based on average clinical trial size. Results may vary by customer and trial.

Verify case study

Pfizer's Covid-19 vaccine trials

Automating clinical trial data validation when the world needs it most

Prior to the onset of Covid-19, Pfizer understood the need to ensure clinical data’s 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 studies’ time to submission for FDA approval while maintaining the highest quality.

Covid-19

What is Verify?

Verify is an automated SaaS system using ML/NLP for clinical trials output data management.
The system automates the validation of statistical analysis clinical outputs.
Developed specifically for the needs of clinical trial quality assurance, Verify allows you to bring a production-ready product to market faster, without compromising quality.

Experts & Clients Talk about us

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, Paraexel

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

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