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
🔄

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
📊

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.

Navigating the Complexities of Quality Assurance in Life Sciences

Jul 21, 2025

In the rapidly evolving field of life sciences, ensuring the highest quality of products and services is paramount. Quality assurance (QA) plays a critical role in maintaining the integrity and reliability of scientific outcomes. However, navigating the complexities of QA in life sciences can be challenging due to the intricate nature of the industry, stringent regulatory requirements, and the need for constant innovation.

Understanding the Importance of Quality Assurance

Quality assurance in life sciences goes beyond mere compliance. It is about ensuring that every product, from pharmaceuticals to medical devices, meets high standards of safety and efficacy. This not only protects consumers but also enhances the reputation and credibility of organizations within the industry.

Effective QA processes help in identifying potential issues before they arise, minimizing risks associated with product failures. Furthermore, a strong QA framework fosters innovation by providing a structured approach to testing new ideas while maintaining safety protocols.

quality assurance life sciences

The Challenges of Regulatory Compliance

One of the most significant challenges in QA for life sciences is navigating the complex web of regulatory requirements. Different regions have varied regulations, which can be overwhelming for companies operating globally. Ensuring compliance with these regulations is crucial to avoid hefty fines and market withdrawal.

Moreover, regulatory bodies frequently update their guidelines to keep pace with scientific advancements. This dynamic environment requires organizations to stay informed and agile, adapting their QA processes to meet new standards promptly.

Strategies for Effective Compliance

To manage regulatory complexities, companies can adopt several strategies:

  • Invest in continuous training for staff to keep them updated on current regulations.
  • Implement robust documentation systems to maintain detailed records of QA processes.
  • Engage with regulatory experts to gain insights and guidance on complex regulations.
regulatory compliance

The Role of Technology in QA

Technology is revolutionizing quality assurance in life sciences. Advanced tools and software solutions are enabling organizations to streamline their QA processes, ensuring greater accuracy and efficiency. Automation, for instance, reduces human error and accelerates routine tasks such as data analysis and reporting.

Moreover, technologies like artificial intelligence (AI) and machine learning (ML) are being employed to predict potential quality issues before they occur. These innovations not only enhance product quality but also contribute to faster time-to-market for new products.

Embracing Digital Transformation

For organizations looking to stay ahead in the competitive life sciences arena, embracing digital transformation is crucial. This involves:

  1. Integrating AI and ML into QA processes for predictive analytics.
  2. Utilizing cloud-based platforms for real-time data access and collaboration.
  3. Implementing blockchain technology for secure and transparent record-keeping.
qa technology

Fostering a Culture of Quality

A successful QA strategy is not just about systems and technology; it's also about fostering a culture of quality within the organization. This involves instilling a mindset where every employee is committed to maintaining high standards in their work.

Encouraging open communication and collaboration across departments helps in identifying potential quality issues early. Moreover, recognizing and rewarding employees who contribute to quality improvements can motivate others to follow suit.

In conclusion, while navigating the complexities of quality assurance in life sciences presents numerous challenges, adopting a proactive approach can lead to significant benefits. By prioritizing compliance, leveraging technology, and fostering a culture of quality, organizations can ensure they deliver safe and effective products that meet the needs of consumers worldwide.