Neuronautix · Services
Neuronautix delivers two complementary engagement modes: scientific consulting for teams who need expert help on HCM, behavioral analysis, and FAIR metadata; and R&D co-development for partners who want to build new methods, algorithms, and tools — not just analyse existing data. Pre-packaged offerings live on the Products page.
R&D co-development
Through our flagship collaboration with the LIRMM lab (CNRS, Montpellier) led by Dr. Konstantin Todorov, Neuronautix runs active research workstreams that generate novel tools and publishable methods. Companies and consortia can join these as co-funders, co-developers, or licensees.
Using the Home-Cage Monitoring Ontology (HCMO) and related vocabularies to constrain LLM reasoning over preclinical knowledge graphs — increasing efficacy, reducing hallucination, and enabling provenance-aware scientific Q&A.
Developing embedding methods that combine neuroscience priors and statistical structure to generate new scientific knowledge from preclinical behavioral and physiological datasets.
LangGraph-based scientific agent squads with human-in-the-loop checkpoints, applied to literature synthesis, evidence mapping, metadata curation, and Virtual Control Group construction.
Service areas
We combine behavioral neuroscience expertise, Home-Cage Monitoring knowledge, FAIR metadata strategy, and practical software development to help laboratories move from fragmented experimental outputs to interpretable, reusable research assets.
Independent support for comparing, selecting, deploying, and documenting commercial, DIY, video-based, sensor-based, and multimodal Home-Cage Monitoring platforms.
Workflows for behavioral tracking, physiological recordings, ECG and HRV analysis, circadian metrics, longitudinal activity, and multimodal alignment.
Practical metadata schemas, provenance structures, dataset documentation, and FAIR-ready workflows for Findable, Accessible, Interoperable, and Reusable preclinical data.
Custom scripts, notebooks, data transformation tools, project prototypes, dashboards, and open-source workflows designed around real laboratory constraints.
Ontology-aware metadata structuring, semantic mapping, controlled vocabularies, SHACL-style validation concepts, and knowledge graph preparation.
Training for Home-Cage Monitoring, behavioral analysis, metadata management, FAIR principles, AI-assisted scientific workflows, and reproducible research practices.
Workflow
Each project is scoped around the scientific question, available systems, data quality, analysis needs, metadata requirements, and the level of transfer expected by the research team.
Deliverables
Neuronautix focuses on deliverables that make research work easier after the project ends: clear comparisons, reproducible analyses, structured metadata, readable documentation, and practical training material.
Tools and systems
Projects may involve Home-Cage Monitoring platforms, behavioral tracking tools, physiological recordings, metadata tables, ontology resources, custom Python workflows, and open-source scientific software prototypes.
Start a project
From Home-Cage Monitoring to FAIR metadata and reproducible analysis pipelines, Neuronautix helps you transform complex experimental data into reusable scientific knowledge.