AI Agent for Laboratory Liquid Handling
QPillars (Product Demo)
The Challenge
Preparing a liquid-handling workflow requires translating a scientific task into supported operations, parameters and resource constraints. We wanted to make that translation inspectable through an agent-assisted software demonstration.
Our Solution
LiquidBridge demonstrates task planning with specialized skills, a structured workflow and explicit validation against a modeled liquid-handling environment. Users can inspect the proposal and validation findings. The demonstration explores the software interaction between an agent, instrument capabilities and a digital twin; it does not establish physical instrument qualification or production readiness.
Results
- An inspectable path from a task description to structured workflow steps
- Skill-based planning with explicit validation and repair behavior
- A modeled environment for repeatable software demonstrations
- A concrete starting point for scoping instrument integration and hardware acceptance
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