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Bio-IT World Presentation 2026: Key Highlights
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Key Highlights
The Productivity Paradox
Despite unprecedented investment in biopharma, labs remain stuck in manual bottlenecks. Scientists spend 40% of their time on repetitive tasks, while data stays trapped in fragmented ELNs/LIMS and AI models suffer from explainability and reproducibility issues.
Introducing
Quantori's modular, agentic AI platform addresses these challenges end-to-end, spanning drug discovery (
Agentic AI: From Tools to Collaborators
Unlike passive software, agentic AI autonomously reasons, plans, and decomposes high-level scientific goals, such as “Optimize this lead for better ADMET,” into actionable instructions for both digital and robotic systems.
Self-Optimizing DMTA Cycle
Safety by Design
To prevent unconstrained AI autonomy, Quantori introduced the
Standardizing with MCP
The Model Context Protocol (MCP) solves the “NxM” integration problem, enabling AI agents to securely connect with LIMS, EHRs, and enterprise systems without custom code.
Beyond Discovery
Agentic capabilities extend into CMC (Chemistry, Manufacturing & Controls), with specialized agents for process optimization, tech transfer, and automated regulatory filing drafting (FDA/EMA Module 3).
A Thought-Provoking Close
Chris wrapped up with a timely caution: “We are creating new silicon-based life forms and don't have the ethical guidelines in place for the treatment of these new creatures,” reminding us that excitement about new technology must be matched with scientific rigor and ethical foresight.

Thank you to everyone who joined the talk. If you missed it, you can download the slides here.
