ESSENSE AI / AUTONOMOUS LAB
Integrate Physical AI and multi-omics testing into a working system that connects design, execution, measurement, and analysis, enabling continuous feedback and optimization of laboratory workflows.
01 / THE CLOSED LOOP
An autonomous laboratory forms a closed loop of design, execution, measurement, and analysis, enabling equipment, methods, and data to work together in one workflow.
Experimental Design → Automated Execution → Instrument Measurement → Data Analysis
Define research questions, samples, and methods, and establish processing workflows, quality criteria, and execution plans.
Use automated pipetting platforms, robotic arms, and workstations for sample preparation and workflow handoffs.
Configure instruments and methods for the testing objectives, perform measurements, and retain relevant workflow and quality records.
Integrate results and workflow data for analysis by professional teams, feeding insights into the next round of experimental design.
Equipment × Methods × Data × AI→ Reproducible, scalable laboratory workflows
02 / BUILD & OPERATE
From equipment implementation and test methods to data and agents, plan development and operation around client requirements.
MODULE 01
Connect sample preparation with Tecan automated pipetting platforms, robotic arms, and custom workstations.
Start with sample types, throughput, and existing equipment to plan pipetting, container handling, sample preparation, and workstation configurations, connecting operational steps according to established methods.
Explore Tecan Automation ↗
MODULE 02
Implement Waters mass spectrometry products, develop analytical methods, and extend them into standardized automated workflows.
Plan mass spectrometry equipment, analytical methods, sample preparation, and quality verification around target analytes and sample conditions, connecting automation with downstream analysis.
Explore Waters Clinical Mass Spectrometry ↗
MODULE 03
LIMS supports quality traceability, while science agents connect models and equipment to form a feedback loop.
Plan connections between sample identity, processing steps, instrument results, and quality information. Use science agents to coordinate models, experimental execution, and result feedback to support further analysis and optimization.
Explore Science Intelligence ↗03 / APPLICATIONS
The same science agent and automation platform can be configured modularly for different industry settings and client groups.
PHARMA
Wet-lab Validation of AI-generated Drug Candidates
Start with candidate molecules proposed by AI models and plan reproducible wet-lab testing. Feed measurements back to support candidate selection and the next iteration of models and methods.
Intended Users Pharmaceutical Companies · R&D Teams · CROs
DIAGNOSTICS
NGS and Clinical Mass Spectrometry Testing
Start with sample quality control and integrate NGS or clinical mass spectrometry workflows, data processing, and professional review as needed, helping reduce handoff burdens across equipment and disciplines.
Intended Users Hospitals · Diagnostic Laboratories · Medical Testing Laboratories
BIOBANK
Multi-omics Health Research
Build on sample identity and processing records to integrate genomic, protein, and metabolic data, supporting research repositories and long-term cohort follow-up.
Intended Users Research Institutions · Medical Centers · National Programs
START A CONVERSATION
Discuss samples, throughput, test methods, equipment, and data integration with ESSENSE AI to plan a suitable development and operating solution.
Workflows and images illustrate solutions and scenarios. Actual functionality, configuration, testing uses, and deliverables are confirmed through project planning and validation.
