VERIFY PLATFORM OVERVIEW

The Validation Layer
for Clinical Biometrics

Verify is a cloud based Software-as-a-Service platform that protects clinical trial submissions from the errors conventional validation fails to catch.

Explore Trust

VERIFY MODULES

One Platform. Multiple Levels of Validation.

Includes four modules, each built for a specific use case. They can each be deployed individually or as one connected, end-to-end platform.atform.

Each module builds on what’s already there

Verify is sold as a capability ladder. Each module solves a specific problem on its own, and each one makes the others more useful. A team can start with deterministic validation first, add the workflow layer later on, and add on generative AI to independently regenerate tables from source data while it compares them to a programmer’s output with every result independently checkable against the source.

Turn Validation Findings Into Faster Resolution

In all, Verify brings review, collaboration, task management, progress tracking, and traceability into one connected platform, giving teams greater visibility and control from validation through resolution.

VERIFY MODULES

Verify Intelligence

Independent Generative AI-powered statistical intelligence

Verify Intelligence introduces independent AI-generated TLFs for validation, automated comparison, and discrepancy detection. Rather than simply adding more automation to the existing QC process, it provides an independent analytical perspective that helps teams identify, trace, understand, and ultimately resolve differences between outputs via an automated co-worker thus significantly reducing the need for double programming and associated costs while also reducing risk.

VERIFY MODULES

Verify Validate

Automated validation and centralized, traceable review

Verify Validate is the essential quality foundation of the Verify platform. Automated and AI-assisted validation checks identify formatting and reference issues, validate values and hierarchies within TLFs, and detect inconsistencies across table sets. Findings are centralized in a traceable review environment, helping teams catch errors earlier and improve the consistency and efficiency of QC.

VERIFY MODULES

Verify Control

Governance, oversight, and orchestration across studies and portfolios

Verify Control builds on the core Verify Data Validation solution by turning individual review activities into a governed quality process. Dashboards, progress tracking, workflow visibility, and oversight capabilities give teams a centralized quality command center across a study or portfolio — the visibility needed to understand what has been reviewed, what remains outstanding, where issues exist, and how work is progressing.

VERIFY MODULES

Verify Translate

Standardize and harmonize data for downstream clinical workflows

Translate harmonizes and standardizes disparate data structures and formats before downstream review and validation begin, creating consistent, usable inputs for clinical workflows. It can operate as a standalone offering, particularly for organizations dealing with multiple CROs, acquired data environments, legacy standards, or inconsistent source formats.

INTEGRATION LAYER

Synapta API

The Synapta API is an integration interface that programmatically connects Verify directly into a customers existing software ecosystem. It automatically ingests, extracts, standardizes, and validates clinical trial data without requiring manual file uploads or leaving native workflows.

How It Benefits Our Customers

Biopharmaceutical and medical diagnostic companies require seamless system-to-system interoperability. Without an API layer, even advanced AI tools remain isolated software silos that require manual oversight to move data in and out.

Eliminates friction caused by toggling between separate tools and existing enterprise platforms, such as SCE solutions.

Replaces manual data transfers with automated, high throughput data processing across large scale clinical portfolios.

Solves the challenge of adopting new AI technology without disrupting established IT infrastructure

USE CASE

Direct SCE Integration

TLFs (tables, listings, figures) are generated in the SEC (Statistical Computing Environment) usually in a validated SAS or R environment and directly off of ADaM datasets. Connecting Verify to your SEC via the Synapta AI means that Verify can validate against the live, current version of the data and outputs, not a manually pulled snapshot that may already be stale by the time someone uploads it.

Synapta moves validated clinical trial data in and out of your systems automatically without manual uploads or leaving your existing workflows.

Latest in Resource Center

All resources

Beyond Double Programming: A New Approach to Clinical Table Validation with AI

Clinical biometrics teams are under increasing pressure to deliver faster while managing growing study complexity and maintaining confidence in every result. In this short demonstration, you’ll see how Verify Intelligence uses a metadata-driven AI approach to independently generate validation outputs, compare them with production results, and provide complete explainability and traceability throughout the validation process. […]
Keep reading
Blog

Blueprint: The Architecture Behind Clinical GenAI

Clinical Teams Don’t Have a Data Problem. They Have an Output Problem. Over the last decade, the industry invested heavily in data infrastructure. SDTM.ADaM.Data lakes.Centralized platforms.Standardized pipelines. Those investments worked. Most clinical organizations can access structured data faster than ever before. Yet one challenge remains stubbornly manual:Turning that data into submission-ready outputs. Whether it’s a […]
Keep reading

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% Download PDF: Phastar-Beaconcure Case Study 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 […]
Keep reading
Clinical Trial Data Visualization: The New FDA Guideline on Standard Formats for Tables and Figures Blog

Clinical Trial Data Visualization: The New FDA Guideline on Standard Formats for Tables and Figures

Clinical trial data visualization plays a pivotal role in effectively communicating the results of drug trials to regulatory agencies like the FDA. However, inconsistencies in the format and presentation of safety data can hinder the interpretation and evaluation of crucial information by FDA reviewers. The new FDA guideline seeks to address this issue by establishing […]
Keep reading

From manual QC to a more scalable model

Reduce the validation bottleneck without compromising confidence. Verify helps biometrics teams move beyond resource-intensive validation processes and duplicated programming effort — accelerating QC while maintaining the independence and rigor required for clinical trials.

Less manual effort. Faster validation. Greater confidence.