Tecan and NVIDIA advance Agentic AI for data-driven laboratories

Tecan has integrated Agentic AI capabilities into its Introspect™ lab analytics platform, powered by the NVIDIA BioNeMo Agent Toolkit. This collaboration enables laboratories in pharmaceutical, biotechnology, and clinical environments to move from reactive monitoring to proactive, data-driven decision-making, helping prevent issues before they affect performance, quality, or scientific outcomes.

Strategic collaboration to accelerate data-driven labs

This Agentic AI development marks a key milestone in the collaboration between Tecan and NVIDIA. The joint work advances the companies’ shared vision of enabling data-driven laboratories with AI-powered platforms that accelerate scientific discovery and improve laboratory productivity.

By embedding the NVIDIA BioNeMo Agent Toolkit into Introspect, Tecan is creating a more intelligent, connected lab ecosystem that can support complex workflows, high-throughput operations, and scalable digital transformation strategies.

How Agentic AI transforms laboratory operations

Agentic AI introduces a new paradigm for laboratory operations. Instead of identifying problems only after they occur, intelligent AI agents can continuously analyze laboratory data, workflows, and system performance to uncover hidden patterns that limit throughput, constrain scalability, or reduce operational efficiency.

By transforming raw data into recommended actions, Agentic AI within Introspect enables laboratories to:

• Accelerate decision-making across research, development, and clinical workflows
• Optimize resource utilization, including instruments, consumables, and personnel
• Proactively improve overall productivity and lab uptime
• Support more consistent quality and reproducible scientific outcomes

Early access to the enhanced Introspect platform is available, with initial applications focused on pharmaceutical, biotechnology, and clinical laboratory environments where complex, data-intensive workflows demand robust automation and analytics.

Building responsible and reliable Agentic AI for the lab

The work between Tecan and NVIDIA also focuses on the agentic guardrails required for the responsible and reliable deployment of AI in laboratory environments. These safeguards are designed to support transparency, reliability, and controlled automation, helping to establish Agentic AI as a trusted technology for key research and operational workflows.

By prioritizing robust governance and clear operational boundaries, the collaboration aims to ensure that AI-driven recommendations and actions align with regulatory expectations, quality standards, and institutional policies.

Enabling next-gen lab instrumentation with Physical AI

Tecan and NVIDIA will continue to develop AI-enabled platforms that data-driven laboratories need to achieve faster discoveries and higher lab productivity. This includes the use of Physical AI to enable next-gen lab instrumentation, integrating intelligent software agents with advanced hardware to create more autonomous, efficient, and adaptable laboratory systems.

These developments are intended to support a wide range of applications, from drug discovery and bioprocessing to clinical diagnostics, by connecting data, instruments, and AI in a unified, scalable ecosystem.

Mukta Acharya, Executive Vice President - Head of the Life Sciences Business division at Tecan, said, “Agentic AI has the potential to reshape how laboratories operate. By combining Tecan’s laboratory expertise with NVIDIA’s BioNeMo Agent Toolkit, we are enabling a new generation of intelligent laboratory solutions that can proactively support scientists, improve productivity, and help accelerate scientific outcomes.”

This perspective reflects a broader industry shift toward AI-enabled, data-centric laboratories that can adapt dynamically to changing scientific and operational demands.

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