Encode the method, not replace the human
The platform is intended to complement educators and disability services. It extends specialist practice into moments when direct support is not available.
Specialized tutoring that adapts.
Private college support built around neurodivergent learners, available when the learning moment happens.
The expertise exists. Access does not.
Effective tutoring for ADHD, Autism, Dyslexia, Dysgraphia, Dyscalculia, other learning disabilities, and executive functioning challenges often lives inside individual specialist educators. When that person is unavailable, the support disappears.
Patient by default
The tutor can slow down, repeat, reframe, and check understanding without making the student feel rushed.
Private by design
Students can ask the question they are embarrassed to ask in class, without exposing the conversation to an institution or researcher.
Built around a changing learning profile.
LuminousPath does not assign a learning style and stop there. The platform builds a working picture of how a student processes, retains, and applies information, then updates that picture over time.
Student intake
The student shares where learning gets difficult, what has helped before, and what they need right now.
Responsive tutoring
The tutor changes pace, language, and learning approach, and checks for understanding based on the student's profile.
Profile refinement
Each session adds evidence about what works, helping future explanations become more useful and specific.
Student control
Support remains available on the student's device, on the student's schedule, without taking ownership away from them.
Privacy is part of the architecture.
A student should not have to trade confidentiality for support. LuminousPath keeps tutoring conversations private and separates them from institutional and research data.
Student conversations stay private
Tutoring conversations are designed to stay visible only to the student who had them.
Institutions do not read transcripts
Universities, disability-services offices, advisors, and platform administrators do not receive access to conversations.
Research uses structured summaries
When a student chooses to participate, research can use aggregated structured data, never full tutoring conversations.
Tutoring and research remain separate
The separation is designed into the data architecture, not left to a policy statement alone.
Built for students and the people who support them.
The platform serves a personal learning moment while creating a responsible path for institutional capacity, pilot partnerships, and research.
For students
Private help at the point of need, shaped around the way each student processes information and stays engaged.
For universities
Extend support beyond office hours and reach students who do not engage with traditional disability services.
For research partners and funders
Study AI-delivered specialized tutoring through a platform being built with privacy, structured evidence, and research readiness from the start.
Specialist practice meets systems experience.
LuminousPath brings together three decades of direct work with neurodivergent students and a technical lead with deep experience in enterprise software, nonprofit operations, and data governance.
Pedagogical lead
A specialist educator with 30 years of direct experience spanning classroom teaching, academic intervention, instructional leadership, and teaching other educators how to support neurodivergent learners.
Anthony Hogg
Founder and technical lead with 15 years of enterprise software experience and more than 15 years of nonprofit systems leadership.
Built by people who live this
Anthony is Autistic and ADHD. Our pedagogical lead is ADHD. We are also raising neurodivergent children. LuminousPath is not built from the outside looking in.
Work underway now
- University partnership path in development
- IRB research framework in preparation
- Methodology encoding in progress
- Research and development funding conversations open