Neurocube builds advanced AI and data-analysis solutions grounded in neuroscience, machine learning and complex time-series modelling. We help research teams and industrial partners turn high-dimensional data into usable insight, robust models and new automation capabilities.
What we do
We combine deep scientific expertise with practical software, modelling and machine-learning implementation.
Analysis of complex biological, behavioural, neural and industrial datasets using machine learning, signal processing, statistics and domain-specific interpretation.
Development of AI software for flexible industrial automation, with a focus on contact-rich robotic tasks where force, pressure, friction and correction matter as much as trajectory.
Intelligent Automation
TACIT is Neurocube's developing platform for contact-rich robotic automation. It is designed for industrial tasks where conventional trajectory programming is not enough: sanding, polishing, deburring, sealing, adhesive application, deformable assembly and other processes where quality depends on physical interaction.
Instead of teaching only positions and orientations, TACIT aims to capture how expert operators establish contact, regulate pressure, maintain sliding, react to friction and correct local deviations.
Discuss TACIT or a data challenge →Motion, force, tactile signals and task events from humans, tools or robots.
Convert demonstrations into interpretable tactile-kinematic primitives.
Map skills to commercial robots using constraints, feasibility and learned residuals.
Monitor contact during execution and adjust pressure, speed, orientation or path.
Experience
The Neurocube team has extensive experience in experimental design, project management, machine learning and analysis of high-dimensional biological and behavioural data, including electrophysiology, calcium imaging, optogenetics, photometry and freely moving behaviour.
Our scientific background supports rigorous analysis, careful interpretation and technically credible AI development. Selected publications are available through PubMed.
View selected publications →
We apply methods developed for complex biological systems to broader data-intensive problems: behavioural analysis, preclinical research, experimental pipelines, industrial time series and automation tasks requiring robust inference from noisy multimodal signals.
Team
Neurocube brings together expertise in neuroscience, computational modelling, machine learning, behavioural analysis, software development and robotics-oriented AI.
Our work sits at the intersection of data science, neuroscience and intelligent automation. This lets us approach complex data and robotic skill-transfer problems with scientific discipline, practical implementation and domain understanding.
Contact
Carrer Major 31, Cubelles 08880
Barcelona, Spain
