The Future of AI-Ready Labs Starts in Boston BIO IT 2026

The Lab Must Think, Not Just Run

Labs have hit the ceiling.

More automation has not created better science.
More data has not created intelligence.

Instead: fragmented systems, disconnected workflows and data that arrives too late or in the wrong form. 

AI cannot fix broken infrastructure. 

At BIO-IT World 2026, the question is no longer how to digitize the lab.
It is how to make it adaptive, orchestrated and intelligent.

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See It Live: From Automation to Self-Optimizing Labs

Don’t Just Automate - Orchestrate: Building AI-Native Laboratories for Self-Optimizing Science

Rui Campos, VP of Product, Automata

Most lab automation follows instructions—even flawed ones.

What if workflows could adapt before failure, optimize before execution and improve with every run?

In this session, Rui explores how AI-native software architecture—combining orchestration, simulation and advanced scheduling with ML, LLMs and MCP—enables labs to become self-optimizing systems.

Not automated labs.
Labs that continuously evolve.

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Booth 408: Where AI Meets Execution

This is not theory. This is working infrastructure.

• One connected system
  LINQ unifies workflows, instruments, and data into a continuous, software-defined environment.
• From automation to orchestration
  Design visually, extend with code, and build systems that adapt and improve over time.
• Data that AI can actually use
  Structured, contextualized outputs generated in real time—ready for models, not endless cleanup.
• Built to evolve
  New tools, new protocols, new scale—without rebuilding your stack.
• Direct access to builders
  Meet the team behind LINQ and explore what changes when your lab is designed for intelligence.

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LINQ: Infrastructure for intelligent labs

Most platforms help you automate.

LINQ enables your lab to operate as a system.

A fully integrated, AI-ready platform connecting every component—digitally and robotically—delivering seamless, end-to-end workflows and continuous data flow.

Modular hardware.

Hybrid scheduling.
Cloud orchestration.
Open architecture.

Not another tool.
The foundation for AI-native labs.

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A Shift is Already Underway

BIO-IT World 2026 reflects a deeper divide:

Between labs that generate data—
and labs that generate intelligence.

Which lab will yours be?

Visit Booth 408.
See what your lab becomes when it is built to learn.