
Equipment validation for tomorrow's standards
Stop tracking calibrations in spreadsheets, storing protocols in shared drives, and running commissioning on paper.

Bridge the gap between AI innovation and GxP compliance
Life sciences leaders need AI's transformative power without compromising patient safety or regulatory confidence. The old validation rules no longer apply.
Primary Use Cases for AI in GxP
In the life sciences GxP domain, use cases include:
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Drug target identification
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Trial design and monitoring
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Content quality control (QC)
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Site selection
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Site recruitment and Retention
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Real-world data (RWD) analysis

Meet tomorrow's standards using future-ready technology
Embrace AI-driven workflows for trend identification, predictive maintenance, and improved compliance.
Pharmaceutical Equipment Validation Services
From reactive improvement to continuous excellence
Encode best practices with agentic AI for scalable trend ID and predictive maintenance, enhancing compliance and streamlining commissioning.

- 01 AI Risk Assessment
- 02 Explainable AI Controls
- 03 Model Validation Protocols
- 04 Continuous Performance Monitoring
- 05 Regulatory Intelligence
- 06 Data Integrity for AI
Right-size validation to actual risk
Not all AI carries equal risk. Our stratified approach matches validation depth to patient impact, from low-risk analytics to critical manufacturing controls.
Transparency regulators trust
Every decision is traceable. Every output is explainable. Build confidence with AI that documents its reasoning and maintains complete audit trails.
Validate AI like any GxP system
Comprehensive validation frameworks covering training data, model performance, and ongoing monitoring. Meet FDA and EMA expectations with confidence.
Validation that keeps pace with your models
Real-time performance tracking identifies model drift and data shifts. Trigger revalidation automatically when thresholds exceed acceptable limits.
Stay ahead of evolving guidance
From the FDA's AI/ML framework to EMA's computerized systems updates, we translate regulatory imperatives into practical validation strategies.
ALCOA+ principles meet machine learning
Ensure data integrity from training sets through production. Automated quality checks maintain accuracy, consistency, and compliance throughout the AI lifecycle.
30-40% faster validation across multiple sites
See how a growing biotech unified validation control and freed their teams to focus on breakthrough discoveries.
Need deeper insights into your validation processes?
Learn more about Res_Q's dashboards and reporting capabilities.

30-40% faster validation across multiple sites
See how a growing biotech unified validation control and freed their teams to focus on breakthrough discoveries.
Need deeper insights into your validation processes?
Learn more about Res_Q's dashboards and reporting capabilities.

30-40% faster validation across multiple sites
See how a growing biotech unified validation control and freed their teams to focus on breakthrough discoveries.

The Future of Life Sciences Validation is Here: Are You Ready?
At a live roundtable event held in February 2024, three leaders from industry, IT, and Quality came together in Boston to discuss the future of GxP validation, including the role AI will play and the how to prepare for its inevitable integration. Read our whitepaper based on the illuminating discussion, hosted by Bryan Ennis (Founder, Sware) and featuring speakers Nathan McBride (Senior Vice President, IT at Xilio Therapeutics) and Aryaz Zomorodi (Associate Director, Systems Quality, SpringWorks Therapeutics).


is Here: Are You Ready?
At a live roundtable event held in February 2024, three leaders from industry, IT, and Quality came together in Boston to discuss the future of GxP validation, including the role AI will play and the how to prepare for its inevitable integration. Read our whitepaper based on the illuminating discussion, hosted by Bryan Ennis (Founder, Sware) and featuring speakers Nathan McBride (Senior Vice President, IT at Xilio Therapeutics) and Aryaz Zomorodi (Associate Director, Systems Quality, SpringWorks Therapeutics).
Quality Must Play a Pivotal Role at Every Stage
Today’s consensus is that AI is both acceptable and valuable but must exist firmly within existing IT-quality control frameworks. Quality leaders must be prepared to work closely with their IT counterparts to implement GxP solutions that offer explainable, transparent AI technologies, as well as develop robust SOPs that establish parameters for effective and responsible use.
Proper data governance forms a crucial foundation for success: put simply, bad data in leads to bad data out. Using our established lens, it’s important to ask: is our data curation process up to modern standards; do we have the right people overseeing data ops; and finally, do we have the right tools in place to store and organize our data, either via warehousing or data lakes?

Quality must play a pivotal role at every stage
Today’s consensus is that AI is both acceptable and valuable but must exist firmly within existing IT-quality control frameworks. Quality leaders must be prepared to work closely with their IT counterparts to implement GxP solutions that offer explainable, transparent AI technologies, as well as develop robust SOPs that establish parameters for effective and responsible use.
Proper data governance forms a crucial foundation for success: put simply, bad data in leads to bad data out. Using our established lens, it’s important to ask: is our data curation process up to modern standards; do we have the right people overseeing data ops; and finally, do we have the right tools in place to store and organize our data, either via warehousing or data lakes?
Webinars
As part of our commitment to supporting organizations implementing AI for GxP, Sware is proud to present the following webinars:

As AI capabilities push into GxP regulated business functions, how can Quality and IT teams partner to ensure they are properly controlled? Join us as a panel of experts walks you through emerging practices for how Life Sciences companies can integrate AI-based solutions into GxP functions responsibly.
Panelists:
Bryan Ennis, President, Sware
Jamie Hijimans, President and Strategic CTO, Global Exponential Technologies (GxT)
Michelle Vuolo, Head of Quality, Tulip Interfaces, Inc.
Madhavi Ganesan, Director, Lifesciences Advisory, KPMG

In this presentation, featured speaker Bryan Ennis, President, Sware, explores important topics that Quality and IT leaders should consider when developing an organizational path towards the use of AI within the GxP ecosystem, including:
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GxP use cases where AI is emerging
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Quality System practices for managing AI in GxP
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The role of vendors, IT and Quality in controlling GxP AI
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Investments needed to scale AI capabilities into future GxP use cases
Upcoming Events and Webinars
As part of its commitment to supporting organizations implementing AI for GxP, Sware is proud to participate in the following events and webinars:

JULY 10, 2024 / 11 AM EST
As AI capabilities push into GxP regulated business functions, how can Quality and IT teams partner to ensure they are properly controlled? Join us as a panel of experts walks you through emerging practices for how Life Sciences companies can integrate AI-based solutions into GxP functions responsibly.
Topics included:
- GxP use cases where AI is emerging
- Quality System practices for managing AI in GxP
- The role of vendors, IT and Quality in controlling GxP AI
- Investments needed to scale AI capabilities into future GxP use cases

SEPT 12, 2024 / 11:15 AM EST
As AI capabilities push into GxP regulated business functions, Quality and IT teams can partner together to ensure they are properly controlled. In this discussion, we will explore important topics that Quality and IT leaders should consider when developing an organizational path towards the use of AI within the GxP ecosystem, including:
-
GxP use cases where AI is emerging
-
Quality System practices for managing AI in GxP
-
The role of vendors, IT and Quality in controlling GxP AI
-
Investments needed to scale AI capabilities into future GxP use cases
Preparing your life sciences organization for AI in GxP
As companies assess the value of these tools for their clinical and commercial endeavors, they must ensure they have the right processes, people, and tools in place prior to making significant investments.
True GxP validation domain experts can help life sciences companies navigate the complexities and challenges born out of this emergent technology, as well as develop a roadmap for AI-based validation automation.

"Sware provided invaluable support by bringing deep industry knowledge, experience, and connections to our project. Now, when I’m sitting across the table from a large life sciences client, I can speak their language and discuss compliance knowing that as audit processes evolve, we’ll be in a strong position to evolve with them."

GxP Compliant AI: Your strategic guide
Master the convergence of AI and quality management. Get actionable strategies for modernizing validation in the age of intelligent systems.

Use cases
Track every asset from FAT through decommissioning in one system.
Roll out validated equipment protocols across facilities instantly.
Monitor change and receive alerts when revalidation is needed.
Agentic AI converts SME walkthrough videos to executable scripts automatically.
Understand equipment validation status at a glance. Know what needs attention today.
Automate alerts before calibrations expire and integrate directly with your CMMS.

A clinical-stage biotech reduced validation time from days to hours while managing 30+ quarterly releases. See how they moved from paper-based tracking to automated workflows.
Validation workstreams that weren’t in Res_Q took days. Those same workstreams, once moved into the Res_Q system, take hours.”
Senior Director, Development Informatics
Molecular Medicine Company
The smart factory isn't coming. It's here.
But here's what most vendors won't tell you: the journey from paper-based to autonomous operations requires validation that evolves with your digital maturity. This means real-time control over operations, mass customization without sacrificing efficiency, and GMP embedded from the very start.
Create an agentic AI-powered ecosystem that scales from your first connected sensor to your fully autonomous production line.


"We highly recommend Res_Q for its simplicity and effectiveness. [The] software is exceptionally user-friendly, enabling streamlined audits through controlled auditor access. All validation activities are consolidated within a single app, ensuring consistency and transparency. The prebuilt templates simplify implementation and promote uniform validation processes."
Jim H | Director of Quality
"Sware's Res_Q software is exceptionally user-friendly, enabling streamlined audits through controlled auditor access. All validation activities are consolidated within a single app, ensuring consistency and transparency. The prebuilt templates simplify implementation and promote uniform validation processes. We highly recommend Sware for its simplicity and effectiveness."
Jim H
Andelyn Biosciences
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