LIMS
LabVantage Solutions, Inc has launched LabVantage Cortex, a next-generation AI, analytics, and automation platform that extends its LIMS capabilities. Designed for laboratories across pharma, biotech, food and beverage, and forensics, LabVantage Cortex combines intelligent automation with cloud-native infrastructure, helping labs operate more efficiently while gaining deeper insight from their data.
At the core of LabVantage Cortex are autonomous AI agents capable of orchestrating complex lab tasks directly within the LIMS. This enables automated sample management, worksheet assistance, stability study support, and compliance monitoring - reducing manual effort and minimising errors. Its cloud-native architecture also allows seamless integration with IoT devices and digital twin technologies, supporting predictive maintenance, real-time environmental monitoring, and proactive laboratory management - all without disrupting existing workflows.
“LabVantage Cortex is more than an upgrade; it redefines how laboratories interact with data and processes, enabling autonomous workflows and smarter decision-making,” said Gary Stimson, principal architect and Head of AI technologies at LabVantage Solutions. “Our goal is to give scientists the tools to focus on discovery, not routine tasks, while ensuring compliance and operational efficiency.”
The platform’s automation and analytics capabilities provide laboratories with actionable insights to accelerate R&D. By combining AI-driven recommendations with robust LIMS functionality, LabVantage Cortex helps streamline workflows, improve reproducibility, and optimise resources - all while offering a low-risk migration path for existing LabVantage customers.
LabVantage Cortex demonstrates the growing role of AI and automation in laboratory operations, positioning labs to handle increasing data volumes, complex regulatory requirements, and evolving scientific challenges. The platform is now available globally, and LabVantage will showcase its capabilities at PittCon 2026.
More information online
Lab Asia 33.2 April