Now accepting early access partners

Validation that moves
at the speed of science.

EVOLV | The Validation Factory

The first AI-native Computer System Validation platform built for GAMP 5, 21 CFR Part 11, and FDA QMSR. Generate compliant URS, automate risk assessment, and govern AI model changes — in minutes, not months.

Request Early Access ▶ Try Live Demo
GAMP 5 21 CFR Part 11 21 CFR Part 820 QMSR ISO 13485:2016 FDA PCCP Guidance Aug 2025 GMP Annex 11 EU GMP

The Problem

CSV validation still runs on
spreadsheets and email chains.

Life sciences teams spend months on documentation that should take days. Regulatory guidance has changed. Most platforms haven't.

📋

Weeks to generate a URS

Requirements written manually in Word, reviewed in meetings, rewritten after audit findings. No regulatory traceability. No version control. Just documents.

⚠️

Regulations change. VMPs don't.

FDA's QMSR replaced the QSR on February 2, 2026. The PCCP final guidance landed August 2025. Most validation plans still cite rules that no longer exist.

🤖

AI in GxP with no governance

Drug interaction predictors and defect classifiers are being deployed with no PCCP, no change control, no audit trail. FDA inspectors are starting to notice.

The Platform

One platform.
The entire validation lifecycle.

From first requirement to post-market governance — every step compliant, auditable, and powered by AI that knows GAMP 5.

📄

Validation Factory

Generate GAMP 5-compliant URS from plain English. SMART refinement, PCCP verification, UR/FR decomposition, CSA test scripts, and PDF export with e-signature — in one guided workflow. What took days takes minutes.

URS Generation SMART Refinement UR/FR Decomposition CSA Test Scripts PDF + E-Signature
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Change Control

ServiceNow change requests cross-referenced against your system portfolio in real time. GxP classification, GAMP-aware risk calculation using Severity × Occurrence × Detectability, and automatic revalidation flags. No spreadsheet required.

ServiceNow Integration GxP Classification GAMP Risk Matrix Revalidation Flags
🤖

AI Model Governance

Validated AI models treated as GAMP Category 5 assets. PCCP-aware change assessment aligned to FDA final guidance August 2025. Human-in-the-loop approval queue with 21 CFR Part 11 compliant audit trail.

PCCP Assessment HITL Governance FDA Aug 2025 21 CFR Part 11
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Portfolio Dashboard

Every system, every site, every phase — one view. RAG status, action items, regulatory due dates. Register new systems with GxP classification and track their full validation journey from plan to monitor. Built for QA Heads and CTOs.

RAG Status System Registry Lifecycle Tracking Multi-Site

See It In Action

Watch EVOLV handle in 4 minutes
what takes your team weeks.

Three real workflows. No voiceover scripts. No slides. Just the platform doing what it's built to do.

Demo 01

Portfolio Dashboard

Your entire validated system landscape — GAMP category, GxP status, risk level, revalidation due dates — in one view. Built for QA Heads and CTOs who need portfolio-wide compliance visibility instantly..

Demo 02

Change Control & GxP Classification

ServiceNow CR received → portfolio cross-reference → GAMP risk calculation → revalidation decision. Automatic.

Demo 03

AI Model Governance

AI model change in a validated system → PCCP assessment → Governance Hub → human-in-the-loop approval → 21 CFR Part 11 audit trail. Built for FDA's final guidance (Aug 2025).

Try the Validation Factory — live, right now.

Generate a real GAMP 5-compliant URS from your own requirement. No login required.

▶ Open Live Demo

Built For

EVOLV speaks the language
of regulated industries.

Whether you're defending a validation package in an inspection or governing 150 systems across 25 sites — EVOLV gives you the records to back it up.

🧪 QA Head · CSV Manager

Stop writing in Word. Start validating.

EVOLV generates, verifies, and manages your entire validation portfolio with a complete audit trail FDA inspectors can review on the spot.

  • URS from plain English in minutes
  • SMART requirements, auto-verified against GAMP 5
  • Full lifecycle tracking — Plan to Monitor
  • Audit-ready PDFs with e-signature

📋 VP Regulatory Affairs

FDA updated the rules. EVOLV already knows.

QMSR is mandatory. PCCP guidance is final. EVOLV cites the right regulations, routes the right changes, and produces the records you need when an inspector walks in.

  • Aligned to FDA PCCP Guidance Aug 18, 2025
  • 21 CFR Part 820 QMSR / ISO 13485:2016
  • SHA-256 tamper-evident audit trail
  • 21 CFR Part 11 electronic records

💻 CTO · CDO

Your AI models are GAMP Cat 5 assets.

EVOLV gives you the governance infrastructure to deploy AI in GxP contexts without regulatory exposure — with a full HITL approval layer and immutable decision records.

  • AI model registry with version history
  • PCCP-aware change assessment
  • Human-in-the-loop governance hub
  • Portfolio-wide RAG visibility

Regulatory Coverage

GAMP 5 (2nd Edition) 21 CFR Part 11 21 CFR Part 820 QMSR ISO 13485:2016 FDA PCCP Guidance Aug 18, 2025 GMP Annex 11 EU GMP GLP ISO 17025 GDPR 21 CFR Part 820.35 QMSR FDA CSA Guidance 2022

Early Access

Join our first cohort of life sciences partners.

We're working with a small group of pharma and biotech companies before general availability. Early access partners get priority onboarding, direct access to the founding team, and founding-tier pricing locked in permanently.

🔒  We'll respond within 1 business day. Your information is never shared.

The Role of Quality Assurance in Life Sciences: A Comprehensive Guide

Jul 09, 2025

In the highly regulated field of life sciences, maintaining product integrity and patient safety is paramount. This is where Quality Assurance (QA) plays a critical role. QA is a systematic process dedicated to ensuring that products and services meet specific requirements and standards. In life sciences, this translates to rigorous oversight of pharmaceuticals, biotechnology, and medical devices to ensure they are safe, effective, and compliant with regulatory standards.

quality assurance life sciences

Understanding Quality Assurance in Life Sciences

Quality Assurance in life sciences involves a series of processes designed to maintain and improve the quality of products. It begins at the earliest stages of product development and continues through manufacturing, distribution, and post-market surveillance. QA ensures that every step of the product lifecycle adheres to strict guidelines and regulations.

The primary goal of QA is to prevent defects and ensure the consistent quality of products. This involves comprehensive planning, systematic monitoring of processes, and implementing corrective actions when necessary. By doing so, QA helps in safeguarding the health and well-being of patients who depend on these products.

The QA Process

The QA process in life sciences is multifaceted. It includes:

  • Validation: Ensuring that processes and systems produce consistent and repeatable results.
  • Documentation: Maintaining detailed records of processes, tests, and outcomes.
  • Compliance: Adhering to local and international regulations, including FDA, EMA, and ISO standards.
  • Risk Management: Identifying potential risks and implementing strategies to mitigate them.
lab inspection

The Importance of Regulatory Compliance

Compliance with regulatory standards is a cornerstone of QA in life sciences. Regulatory bodies like the FDA in the United States and the EMA in Europe set stringent guidelines to ensure the safety and efficacy of products. Non-compliance can lead to severe consequences, including product recalls, legal actions, and damage to a company's reputation.

QA teams work tirelessly to ensure that all products meet or exceed these regulatory requirements. They conduct regular audits, both internally and externally, to ensure compliance at every stage of production. This not only protects consumers but also helps companies avoid costly penalties.

The Role of Technology in QA

Advancements in technology have significantly enhanced the capabilities of QA in life sciences. Automation, data analytics, and artificial intelligence are now integral parts of the QA process. These technologies help streamline operations, reduce human error, and provide real-time insights into quality issues.

technology lab

For instance, automated systems can monitor production lines 24/7, ensuring that any deviations from set parameters are immediately addressed. Similarly, data analytics can identify trends and patterns that may indicate potential quality issues before they become critical.

The Future of Quality Assurance in Life Sciences

As the life sciences industry continues to evolve, so too will the role of Quality Assurance. The growing complexity of products, coupled with increasing regulatory demands, will necessitate even more robust QA processes. Companies will need to invest in cutting-edge technologies and continually update their practices to keep pace with these changes.

Moreover, with the rise of personalized medicine and biologics, QA will play an increasingly important role in ensuring that these complex therapies are safe and effective. The future will see a greater emphasis on patient-centric approaches and real-time monitoring of product performance.

In conclusion, Quality Assurance is an indispensable component of the life sciences industry. It not only ensures compliance with regulatory standards but also protects patients by guaranteeing the safety and efficacy of products. As technology advances and industry demands grow, the role of QA will only become more critical in shaping the future of life sciences.