Discover how Sentra’s AI helps organizations answer critical questions about sensitive data—where it is, who can access it, and compliance—redefining how businesses visualize, protect, and secure their most valuable assets.

Discover how AI is transforming cancer diagnosis and treatment—enhancing pathology workflows, improving sensitivity, enabling risk prediction, and powering tools like CHAI, AI biomarkers, and PathChat for precision and reliability.

Explore the real-world limits of LLMs in complex domains like biomedical research. Learn how to manage messy data, meet regulations, and balance LLMs with traditional ML, open tools, and pipelines for reliable, reproducible results.

This session will explore how advanced digital health platforms like Nytia Health will reshape the future of preventive care and chronic condition management in the workplace.

Discover how AI is revolutionizing dentistry with digital smile design—integrating facial analysis and scans to create personalized 3D smiles, boost patient trust, and streamline restoration workflows.

Explore FDA’s risk-based framework for AI in drug, biologics, and device manufacturing—balancing innovation, compliance, and patient safety.

Discover Zippy, the AI SME built for GxP. From onboarding to IT incidents, Zippy handles compliance-heavy tasks with precision—freeing teams to focus on people and products. See how she drives speed, accuracy, and risk reduction.

This session introduces CLAMS (Chemical Language AI Model for Molecular Structure Elucidation), a breakthrough generative AI model that predicts molecular structures directly from spectroscopic data.

This session explores practical examples of addressing key shortfalls in manufacturing and demonstrates how Agentforce drives autonomous behaviors to enhance efficiency, compliance, and resilience.

This session highlights how xLM successfully delivered a comprehensive, risk-based validation of SCA Pharma’s Sage X3 ERP and Toolbox applications across its Windsor, CT and Little Rock, AR sites—ensuring cGMP compliance, end-to-end traceability, and audit-ready documentation.

This session explores how AI/ML transforms drug stability prediction, using tools like iTope-AI & PredictR to flag molecular risks early, cut costs, and improve accuracy in drug development.

In this session, explore Hybrid AI—combining ML & OR to tackle logistics challenges. Discover CVRP efficiency gains, hybrid HLP & RCP models, and lightweight, scalable solutions delivering results in minutes on standard hardware.

Discover xLM’s Intelligent Mapping Platform — automating the full mapping lifecycle with AI agents, real-time data, voice queries, and instant GxP reports. Effortless, error-free, and scalable to thousands of sensors.

This session shares a practical roadmap for sustainable AI in life sciences—covering strategy, leadership, data readiness, security, ethics, and people empowerment—helping organizations start small, learn fast, and scale smart.

In this session, see a live demo of xLM’s autonomous AI agents in GxP—auto-creating URS, generating test cases, executing protocols, building trace matrices, and delivering audit-ready docs in minutes.

The xTelliGent AI in GxP Conference keynote explores Agentic AI in life sciences, highlighting autonomous labs, regulatory compliance, ROI in bioprocessing, and governance frameworks—offering strategic vision and practical guidance for digital transformation.

In this podcast, we explore how AI and advanced analytics are transforming biopharma and medical device manufacturing, boosting efficiency, reducing costs, and improving quality through real-time insights, predictive modeling, and digital twins across critical operations.

xLM highlights six major pitfalls in AI adoption for pharma—unclear policies, high expectations, data silos, and weak leadership. The talk stresses agility, collaboration, and continuous learning to embrace innovation and stay competitive.

Discover how the FDA’s AMT, ETP, PTD, and ATT programs are driving innovation in pharma manufacturing. This podcast explores how xLM’s AI-powered solutions—like Continuous Intelligent Validation, Predictive Maintenance, and Digital Twin–enabled manufacturing—align with FDA goals for smarter, compliant, and efficient production.

In this episode of xLM’s Continuous Intelligence Podcast, Anand Natarajan and Osvaldo Santiago explore how AI is transforming manufacturing. They discuss reducing unplanned downtime, using data for predictive maintenance, and improving efficiency. Osvaldo emphasizes that AI empowers human expertise for smarter, proactive operations.

This short video highlights the Continuous Intelligent Validation (CIV) agent in action as it validates CONNECT CDS. Originally presented at AVEVA World Conference (AWC) 2025 in April, it showcases the power of intelligent automation in streamlining validation processes.

This episode of the xLM Continuous Intelligence Podcast explores the intersection of AI, safety, and compliance. It highlights real-world AI risks, the need for trust and balanced regulation, gaps in current policies, and the importance of ongoing collaboration among technologists, policymakers, and society to ensure responsible AI governance.

xLM drives operational excellence through agile methods, global teams (USA, India, Singapore), and a robust SDLC. We deliver 24/7 support and high-quality, innovative solutions like Continuous Intelligence AI and Continuous Validation. Our focus on efficiency, collaboration, and advanced tools ensures seamless, industry-leading performance worldwide.

This episode explores the intersection of AI, machine learning, and operations research, stressing the role of optimization in solving complex problems. It highlights the limitations of LLMs, advocates for hybrid approaches, and features a Toyota supply chain case using frugal AI. It ends with insights into AI trends and the path toward artificial general intelligence (AGI).

Experience AI-driven GxP validation as autonomous agents create URS documents, generate test cases,execute protocols, and deliver GxP-compliant reports in real time. This live demo showcases Continuous Intelligence, revolutionizing compliance processes with speed, accuracy, and efficiency—transforming days of manual work into minutes. This extended content adds more words to demonstrate the functionality of the Read More button when text exceeds the word limit. Users can expand it to read the full content and see host and guest information.

Unlock the power of AI in GxP manufacturing with xLM's autonomous agents, transforming raw data into real-time insights. See how AI-driven IIoT interpretation, predictive analytics, and continuous intelligent validation streamline compliance and boost efficiency. Experience interactive dashboards, automation, and conversational AI, revolutionizing decision-making and unlocking hidden manufacturing potential.RetryClaude can make mistakes. Please double-check responses.

As AI revolutionizes manufacturing, organizations must unlock real-time telemetry to boost visibility, optimize operations, and enhance efficiency. By seamlessly integrating IT and engineering data, businesses can streamline production, minimize downtime, and make smarter decisions. Embracing this shift enables intelligent automation, improved coordination, and sustained innovation in an increasingly data-driven world.RetryClaude can make mistakes. Please double-check responses.

Revolutionize industrial system validation with an autonomous AI-driven testing framework for PLC, HMI, and SCADA. Experience lightning-fast, intelligent validation of pushbuttons, alarms, and reporting—turning hours of manual testing into minutes. Unlike risk-based methods, this delivers 100% regression coverage, eliminating human error. Cut test time from 1 hour to 3 minutes and unlock unparalleled efficiency and precision.RetryClaude can make mistakes. Please double-check responses.

Join Justin Brochetti as he explores the challenges of building responsible and compliant technology in today's fast-changing digital world. Drawing from his experience with solutions like SemDB and Buffaly, he will share practical strategies for ensuring ethical, secure, and regulation-aligned innovation. This session will provide insights into managing risks, safeguarding data, and fostering trust while maintaining the agility needed for business success. Whether you're a developer, executive, or policymaker, you'll gain a clear roadmap for integrating compliance and responsibility into cutting-edge technology.RetryClaude can make mistakes. Please double-check responses.

In today's fast-paced world of machine learning and data science, ensuring the authenticity and security of digital assets is more critical than ever. This session will explore how Quantum Knight's innovative HyperKey™ technology protects sensitive data and prevents threats like data tampering and unauthorized access. By leveraging advanced encryption techniques, it ensures secure model training and decision-making, providing organizations with greater confidence in their digital ecosystems.RetryClaude can make mistakes. Please double-check responses.

AI is revolutionizing pharma manufacturing by streamlining compliance, accelerating time-to-market, and enhancing efficiency. This session explores how intelligent automation, predictive analytics, and machine learning models help organizations meet regulatory standards and stay competitive. Through real-world use cases, attendees will gain insights into leveraging AI for innovation, agility, and quality. Discover how AI unlocks new growth opportunities in pharma manufacturing and beyond.RetryClaude can make mistakes. Please double-check responses.

Dr. Nikolaj van Omme explores how combining Machine Learning and Operations Research solves complex logistical challenges at scale. This session highlights prescriptive analytics for optimizing industrial problems, showcasing AI-driven decision-making for efficiency. Attendees will see real-world examples of how this approach enhances large-scale logistics, offering smarter, faster, and more effective solutions in industrial operations.

Experience the future of GxP compliance with xLM's autonomous agents, transforming manufacturing analytics in real-time. Watch intelligent agents interpret IIoT data, apply machine learning for predictive insights, and ensure compliance through continuous validation. Witness traditional processes replaced by AI-driven automation, achieving hours of work in minutes. Explore interactive dashboards and conversational AI for real-time insights, unlocking hidden value from your manufacturing data.

Salesforce's Agentforce platform revolutionizes manufacturing with AI-driven automation and intelligent operations. This session explores how autonomous and assistive AI agents enhance inventory management, optimize supply chains, and enable predictive maintenance. Learn how Agentforce empowers real-time monitoring, production scheduling, and workflow automation, driving operational efficiency and transforming manufacturing processes for improved productivity and resilience.

Dr. David Smith explores how AI-driven DRL agents enhance industrial automation. These intelligent agents enable advanced control, iterative planning, and autonomous operations. AVEVA integrates its Dynamic Simulation platform with NVIDIA Raptor DRL for improved efficiency. This innovative approach maximizes production, reduces downtime, enhances decision-making, and improves overall product quality, ensuring smarter and more adaptive manufacturing processes.

LLMs exhibit metacognitive knowledge, identifying skills and procedures for given tasks. A prompt-guided approach enables LLMs to label and cluster math reasoning skills. Experiments show improved accuracy when LLMs use skill labels to guide problem-solving. This domain-agnostic method enhances reasoning across various applications beyond math, improving adaptability, efficiency, and decision-making in diverse problem-solving scenarios.

The Data Computation Platform (DCP) serves as a crucial link between innovation and compliance in the pharmaceutical sector, seamlessly integrating non-GxP and GxP-compliant tools. Validated for GxP compliance, it facilitates real-time multivariate data analytics using the AVEVA PI System. Transitioning into an open-source, collaborative platform, DCP enhances resilience, efficiency, and process monitoring. Overcoming challenges, it drives continuous progress in Pharma 4.0, ensuring adaptability, compliance, and innovation.

GxP Validation Automation Agents: Industry's First AI-Powered Compliance Solution. Experience AI transforming GxP validation, reducing days of manual work to minutes. Watch autonomous agents create URS documents, generate test cases, and execute validation protocols in real-time. Discover how Continuous Validation evolves into Continuous Intelligence with fully compliant AI agents. Don't miss this live demonstration showcasing the future of automated compliance documentation.

xTelliGent One: AI in GxP 2025 Summit is a premier event where AI meets pharmaceutical excellence, bringing together industry leaders to shape the future of GxP manufacturing. Speakers from xLM, Roche, Meta, and more will share insights on AI automation, intelligent validation, and compliance-driven innovation. Key topics include responsible AI implementation, DevSecOps, and agentic frameworks to enhance manufacturing processes. This summit is essential for organizations looking to leverage AI while ensuring regulatory compliance and operational efficiency.

This podcast introduces xLM's ContinuousCMMS (cCMMS), an all-in-one platform for optimizing maintenance management in GxP-compliant organizations. It streamlines maintenance requests, work orders, and procurement through automation and data-driven insights. With centralized asset management and robust reporting, cCMMS enhances resource allocation and cost control. Seamless team collaboration and audit trails ensure efficiency and compliance. The system focuses on minimizing downtime and extending asset lifespan through proactive maintenance strategies.

This podcast introduces Continuous Lifecycle Governance (cLCG) as a vital framework for ethical and compliant AI use in regulated industries like finance and life sciences. It explores the implementation of cLCG across all AI lifecycle stages, from development to continuous monitoring and system retirement. Key challenges such as resource allocation, coordination, and technical complexities are discussed. The episode emphasizes the importance of continuous validation in maintaining responsible AI practices.

This episode introduces xLM's Continuous Data Integrity (cDI) solution, a managed service suite designed to uphold data integrity in life sciences. It explores eight key use cases, including ALM, DM, ITOM, and Risk Management. The discussion highlights cDI’s role in regulatory compliance, risk mitigation, and operational efficiency. It explains how cDI streamlines data workflows and enhances security. Learn how organizations can leverage cDI to maintain reliable and compliant operations.

This episode explores ContinuousSM’s key features, including Audit Trail, Portal, Workflow Designer, Asset Management, Reports, Change Management, and Automation. It emphasizes customization flexibility, seamless integration with external tools like Power BI for comprehensive dashboards and reports, and AI capabilities that automate processes, generate rules, and improve service efficiency, delivering intelligent, streamlined service management tailored to diverse business needs.

This episode explores ContinuousDM's cloud-based features, including Part 11 compliance, AI-driven automatic summarization, query generation, custom workflows, and robust security, offering enhanced efficiency and advanced capabilities compared to traditional content creation tools.

This episode highlights the importance of a robust ALM (Application Lifecycle Management) package, showcasing ContinuousALM’s capabilities. Built on xQUAL, it supports software, equipment, and facilities validation. Key features include managing requirements, test cases, traceability, and bugs using Agile/V-model practices. ContinuousALM ensures streamlined project management and quality enhancement through TDD and BDD methodologies.

This episode explores a GenAI Framework designed to automate code generation and validation for Clinical Data Management (CDMS). By converting natural language rules into programmatic instructions, the framework streamlines data acquisition in Electronic Data Capture (EDC) systems, reducing manual effort and ensuring compliance in clinical trials.

This episode explores a GenAI Framework that automates complex GxP document creation using an agent-based chat interface. By leveraging NLP, it simplifies Risk Assessment (RA) in medical device manufacturing, reducing manual effort and improving efficiency.

This episode discusses the intricacies of LAM (Large Action Model) and how it can be leveraged to perform software validation. It also explores how LAM is unique by incorporating reinforced learning, which is a game changer. Demos include showcasing LaVague, Playwright, and Zerostep AI.