Catalyst: Agentifying Research
Partnering with an advanced research laboratory to transform their entire experiment pipeline with AI agents — enabling autonomous execution of cutting-edge, long-running experiments.
Autonomous Experiment Execution
AI agents manage task queues, orchestrate hardware instruments, and run complex multi-step experiments end-to-end — freeing scientists to focus on discovery.
Intelligent Instrument Orchestration
Distributed client-server architecture enables real-time communication with lab equipment — signal generators, data acquisition systems, and network analyzers — all managed by AI.
AI-Powered Knowledge Extraction
Automated transcription, scene detection, and structured synthesis from research meetings — turning hours of discussion into searchable, actionable knowledge.
Real-Time Monitoring Dashboard
Live experiment visualization, hardware status tracking, and interactive data exploration — keeping researchers in control even during autonomous operation.
Applicable Scenarios
Long-Running ExperimentsAgents autonomously manage experiments that run for hours or days, handling parameter sweeps, data collection, and error recovery without human intervention.
Instrument AutomationCoordinate multiple pieces of lab equipment simultaneously, with AI agents handling the complex sequencing and timing of hardware operations.
Research Knowledge ManagementTransform unstructured meeting recordings and lab notes into organized, searchable documentation with AI-powered scene detection and summarization.
Pipeline OptimizationAI agents learn from experiment history to suggest parameter optimizations, identify anomalies, and accelerate the path from hypothesis to result.