Revolution Lab Scheduling Software logo

Revolution Lab Scheduling Software

Unified scheduling and control for automated laboratory workflows across single and multi-instrument systems.

Solution by Hamilton
Visit website

Overview

Revolution Lab Scheduling Software is a modern, device-agnostic, and dynamic scheduling platform designed to coordinate and manage automated laboratory workflows at any scale. Developed by Hamilton, Revolution serves as a unified control and scheduling layer for environments ranging from single-instrument benchtop systems to complex multi-pipettor, high-throughput installations, making it suitable for both emerging automation users and experienced laboratory engineers.

By centralizing system visibility across hardware and software vendors, Revolution eliminates the need to manage multiple disconnected control environments. Its AI-assisted development approach, clean and supportable codebase, and over 5,000 unit tests ensure reliability and long-term maintainability without requiring extensive user training.

Core Platform Capabilities

  • Unified scheduling and control layer compatible with all Hamilton liquid handlers as well as third-party hardware and software providers
  • Modular and scalable architecture that supports laboratories from small benchtop setups to large, high-throughput installations
  • Configurable data storage strategies to suit varying laboratory data management requirements
  • Extensible plugin architecture allowing systems to evolve over time without redesigning core workflows
  • API-first architecture that accelerates third-party automation device integration from months to weeks
  • Continuous monitoring and a supportable codebase backed by over 5,000 unit tests
  • Simple licensing model designed to reduce administrative overhead

Workflow Development and Scheduling Features

  • 3D System Builder: An interactive user interface for quickly building out and visualising your automation system configuration
  • Schedule Editor: An easy-to-use drag-and-drop interface enabling graphical schedule construction for users at any experience level
  • Script Editor and AI Agent: Supports advanced Python-based scripting assisted by an integrated AI copilot, allowing experienced engineers to develop complex workflows efficiently
  • Workflow Simulation: Workflows can be simulated and optimized prior to execution, reducing integration risk and improving run predictability
  • Real-Time Script Editing: During runtime, the scheduler responds to system events and operational changes, enabling protocol adjustments with immediate feedback and without interrupting active automation processes
  • Error Handling: Best-in-class error handling capabilities delivering unmatched system stability across every run

Key Operational Benefits

  • Increases walkaway time by joining automated systems under a single unified control environment
  • Ensures high data integrity and robust, reproducible results across all runs
  • Maximises laboratory workflow uptime through optimised device utilisation and flexible pacing options
  • Empowers users at every skill level — beginners can use the drag-and-drop editor while experts leverage Python scripting and AI assistance within the same execution framework
  • Reduces integration overhead by centralising visibility across multiple hardware and software vendors

Revolution is backed by Hamilton's world-class service and support infrastructure, including in-depth training courses, on-site field support, and custom product builds. The platform integrates fully with the broader Hamilton ecosystem and third-party providers, and is supported by comprehensive resources including application notes, user guides, specification documents, and expert-led webinars available through Hamilton's Knowledge Center.

Meta

Domain
Lab Informatics & Operations
Subdomain
Lab Automation & Instrument Integration
Software type(s)
Workflow Automation
Deployment type(s)
On-Premise
Industry vertical(s)
Academic / ResearchAgricultural BiotechBiotechCRODiagnostics / IVDPharma
Development stage(s)
ManufacturingPreclinical / Pre-MarketResearch & Discovery
Target user(s)
Bench Scientist / Lab TechnicianLab Manager / Core Facility ManagerAutomation EngineerIT / Systems Admin / Data Engineer
Tag(s)
Uses AI