Feature|Videos|March 25, 2026

LabVantage CORTEX for AI-Driven Laboratory Operations

Key Takeaways

  • Understand how CORTEX is transforming LIMS into a laboratory operating system that delivers actionable insights rather than solely serving as a data repository.
  • Recognize how the LabVantage CORTEX platform supports more automated, connected lab operations.
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Denise Bell, VP Product Management & Marketing, and Gary Stimson, Principal Architect and Head of AI Technologies at LabVantage Solutions, explain the evolution from a traditional Laboratory Information Management System (LIMS) provider into an agentic AI–driven platform with the launch of CORTEX.

Sponsored by LabVantage Solutions

CORTEX is an agentic AI-powered laboratory platform that enables users to create AI agents to work alongside scientists as digital colleagues. The platform addresses a growing need among laboratories to better leverage their data and extract meaningful insights from increasingly complex datasets. By integrating AI into existing workflows, CORTEX reduces manual processes and allows scientists to focus more on their work rather than administrative tasks. Increasing trust in AI is shifting perceptions, with users recognizing its ability to enhance—not replace—human expertise, leading to improved productivity and job satisfaction. Looking ahead, the convergence of AI and robotics is expected to further transform laboratories, with LIMS evolving into a central intelligence hub that drives decision-making and operational efficiency.


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Figure 2. Split injection used to measure triplicate test of MTBE, hexane, o-xylene, and 1-methylnaphthalene comparing different solvents (methanol, methylene chloride) and column insertion distances starting with 0.5 mm, 5.0 mm, 10.0 mm, 15 mm, and 20.0 mm. Methanol had the best performance at the 5.0 mm insertion distance and methylene chloride looked slightly better at the 0.5 mm. We would still recommend not going below the 5.0 mm manufacturer recommended insertion distance.
Revisiting insertion distance for methanol and methylene chloride in GC analysis and confirming that insertion depth strongly affects response and reproducibility.
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