Home-Cage Monitoring Systems
Independent expertise across commercial platforms, DIY systems, video-based tracking, sensor-based monitoring, physiological recordings, and multimodal behavioral pipelines.
Home-Cage Monitoring - FAIR metadata - scientific software
Home-Cage Monitoring, FAIR metadata, and open-source data solutions.
We help research teams choose, deploy, analyse, and document Home-Cage Monitoring systems while building FAIR-ready metadata and data pipelines.
Positioning
Scientific consulting for better preclinical data
Neuronautix helps preclinical neuroscience teams improve experimental design, behavioral analysis, metadata quality, and data reuse. We support projects from Home-Cage Monitoring implementation to data analysis, metadata structuring, FAIR consulting, and custom scientific software development.
Behavioral & Physiological Data Analysis
Custom workflows to process, align, visualize, and interpret behavioral, physiological, and metadata-rich preclinical datasets.
FAIR Metadata & Knowledge Infrastructures
Structuring experimental metadata, provenance, and dataset documentation to make preclinical data Findable, Accessible, Interoperable, and Reusable.
Open-Source Scientific Software
Development of practical tools and prototypes for behavioral neuroscience, HCM analytics, metadata curation, ontology mapping, and reproducible research workflows.
HCM expertise
Home-Cage Monitoring Expertise
Home-Cage Monitoring is becoming essential for modern preclinical neuroscience, but choosing the right system is difficult. Each platform differs in behavioral resolution, sensors, data structure, analysis possibilities, animal welfare impact, cost, scalability, and compatibility with existing workflows.
Neuronautix helps laboratories navigate this complexity with independent scientific guidance to compare and implement HCM solutions, including commercial systems, DIY platforms, video-based tracking, sensor-based monitoring, physiological recordings, and multimodal approaches.
- System selection and comparison
- Experimental design for HCM studies
- Behavioral and physiological readout definition
- Data extraction, cleaning, and visualization
- Metadata structuring and FAIR documentation
- Training and support for laboratory teams
Analysis pipelines
From raw data to publication-ready results
Neuronautix builds reproducible data workflows for behavioral and physiological datasets. We help transform raw recordings, tracking outputs, sensor data, and metadata tables into clean, interpretable, and publication-ready results.
- Behavioral tracking analysis
- Home-Cage Monitoring analytics
- ECG and HRV analysis
- Circadian and longitudinal activity metrics
- Multimodal data alignment
- Custom Python workflows
- Publication-ready figures and reports
Metadata and FAIR data
Metadata Management & FAIR Data Consulting
High-quality preclinical research depends not only on good experiments, but also on well-structured metadata. Critical information about animals, groups, procedures, devices, housing conditions, timelines, files, and analysis decisions is often fragmented across notebooks, spreadsheets, local folders, and institutional systems.
Neuronautix helps research teams design practical metadata workflows aligned with FAIR principles, data traceability, reusable datasets, and documentation that supports reproducibility, collaboration, and long-term reuse.
- FAIR data strategy for preclinical research
- Metadata schema design
- Experimental subject and cohort tracking
- Dataset documentation and provenance
- Ontology-aware metadata structuring
- Preparation for data reuse, sharing, and interoperability
Open-source R&D portfolio
Open-Source Projects
Neuronautix develops open-source tools and prototypes for behavioral neuroscience, Home-Cage Monitoring, metadata management, FAIR data workflows, ontology mapping, scientific agents, and data analysis.
Public - Active developmentPublic GitHub
Science-Agent-Squad-SAS-
AI & Agents / HCM / Scientific Writing
A configurable LangGraph-based multi-agent framework for scientific research.
View repositoryPublic - Ontology packagePublic GitHub
HCMO
Ontologies / HCM / FAIR Metadata
A reusable ontology package for Home-Cage Monitoring.
View repositoryPublic - Ongoing ontology workPublic GitHub
MBO
Ontologies / Behavior / FAIR Metadata
An ontology for describing mouse behaviors with operational laboratory definitions.
View repository
Founder
Damien Huzard, PhD
Damien Huzard, PhD, is the founder and CEO of Neuronautix. With over a decade of experience in behavioral and preclinical neuroscience and a PhD from EPFL, Switzerland, Damien specializes in mouse models, behavioral analysis, Home-Cage Monitoring, physiological recordings, metadata management, and FAIR data strategies.
He develops open-source tools and scientific software prototypes to improve behavioral data analysis, metadata structuring, and reproducible preclinical research.
FAQ
Frequently asked questions
What types of behavioral analysis do you specialize in?
We specialize in advanced behavioral tracking, Home-Cage Monitoring, quantitative phenotyping, physiological recordings, and longitudinal analysis of preclinical behavioral data.
How can Neuronautix help with Home-Cage Monitoring systems?
We help laboratories choose, compare, deploy, and analyse Home-Cage Monitoring systems, including commercial platforms, DIY systems, video tracking, sensor monitoring, physiological recordings, and multimodal setups.
How do you implement FAIR principles in data management?
We help structure metadata, datasets, provenance, documentation, and analysis workflows so that preclinical research data becomes more Findable, Accessible, Interoperable, and Reusable.
Contact
Build better behavioral and preclinical research workflows
From Home-Cage Monitoring to FAIR metadata and reproducible analysis pipelines, Neuronautix helps you transform complex experimental data into reusable scientific knowledge.
- Email: neuronautix [at] gmail.com
- Phone: +33 (0)7 85 30 64 70
- Montpellier, France