NeuroStell is a science-backed adaptive learning platform that renders the same content differently based on attention, working memory, sensory load, and pacing differences. This proof of concept shows how cognitive profiling, adaptive rendering, and multisensory delivery can work together without diagnosing anyone.
These modules are live today. Together they show how NeuroStell profiles learners, maps cognitive needs, and adapts content without changing the underlying curriculum.
Probabilistic profiling from self-report preferences. Not a diagnosis.
Short browser games capture attention shifts, reaction time, and memory bias.
Switch the structure of the same lesson: skimmer, stepper, deep, visual, or Socratic.
Optional audio layers that reduce fatigue and support pacing.
Same content, different structures. Use the quick switcher below to preview how NeuroStell can reduce cognitive friction without changing the information itself.
Institutions see drop-offs when learners cannot match their attention rhythm to the delivery format. Adaptive rendering targets this mismatch without demanding extra time from educators.
The PoC maps to the production workflow: profile learners, build interpretable neuro-constellations, adapt content, and deliver through any LMS.
Questionnaires and behavioral tasks infer cognitive preferences.
Neuro-Constellations express attention, memory, and sensory load.
Rule-based logic plus LLMs render the optimal format and pacing.
Deliver through web or LMS with SCORM/xAPI compatibility.
NeuroStell is designed as an educational support tool. It does not diagnose. Validation focuses on learning gain, retention, and cognitive load proxies.
Controlled pilots with institutions, followed by peer-reviewed studies.
Minimal data, de-identified signals, optional exports, GDPR-ready.
White-label delivery, LMS integration, and accessible output formats.
NeuroStell is led by an interdisciplinary team with deep experience in learning science, product leadership, and AI infrastructure.
Founder and CEO
Interdisciplinary scientist. Learning, complex systems, AI.
COO
20+ years product leadership. Serial entrepreneur in EdTech.
CTO
Data scientist. Deep learning & AI/ML infrastructure.
Reach the team to discuss pilots, partnerships, or research collaboration.
Email:
sofiag.gallego@gmail.com
jpmdc@chastenay.co