Large AI Model Layer
Select leading models for each task


AUTONOMOUS SCIENCE LAB
Connect large AI models, automated equipment, and experimental data through the decision loop of Science AI Agents.
01THE DECISION ENGINE · THE BRAIN OF SCIENCE AI AGENTS
Observe equipment and experimental results before deciding the next action—allowing model predictions and real experiments to learn from one another.
Essense Science AI Agent
Observe → Reason → ExecuteRead images, sensors, and instrument status
Interpret results and update experimental plans and parameters
Coordinate instruments and robotic arms to carry out operations
Capture measurement data and complete execution records
Adjust parameters, retry, and check quality before the next cycle
Safety Governance: Scientists set objectives and permissions, while the control layer automatically blocks high-risk actions—maintaining oversight of autonomous operations.
02ESSENSE SCIENCE AI AGENTS · SYSTEM ARCHITECTURE
ESSENSE AI integrates Tecan automated liquid handling platforms and intelligent robotic arms to develop Science AI Agents and complete the commercial loop for autonomous laboratories.
Select leading models for each task

ESSENSE Science AI Agents / MHS
MHS standards connect large models to physical equipment
Design → Execute → Test → Analyze → Optimize




Physical AI × Science AI Agents will become the operating system for autonomous laboratories in the physical world.
EXPLORE SCIENCE INTELLIGENCE
From AI drug candidate validation and NGS diagnostics to clinical mass spectrometry and biobanking, integrate autonomous experimentation across the entire workflow.