Overview of Teacher Tutor Network Corp
Project Title: AI-Driven Adaptive Learning Platform for Neurodivergent Students
Brief Research Summary:
This project validates an AI-driven tutoring framework designed to optimize academic outcomes for diverse learners. By capturing real-time student engagement metrics, concept retention speeds, and milestone mastery during active tutoring sessions, the platform maps how dynamic adjustments to lesson delivery affect learning. The dataset generated by these live sessions will be used to automate highly individualized, scalable lesson planning.
Research Focus / Area of Study:
EdTech Accessibility, Adaptive Learning Systems, and Neurodivergent Cognitive Outcomes.
Target Population or Community Impacted:
K-12 and higher-education students with formal 504 designations or individualized education programs (IEPs), which prominently include neurodivergent learners (ADHD, Autism, dyslexia, and executive dysfunction). The project provides these students with tailored academic support to bridge the achievement gap and foster long-term educational independence.
Our Ask
Teacher Tutor Network (TTN) is requesting $100,000 in non-dilutive funding.
This capital will be deployed immediately into our software engineering pipeline to complete the final development phase of our Minimum Viable Product (MVP). Specifically, the funds will cover a targeted 60-day development sprint focused on finalizing our proprietary data-collection infrastructure and refining the user interface for neurodivergent learners.
By executing this final milestone, this $100,000 investment will successfully transition TTN from an active, high-touch tutoring validation model into a fully functional, market-ready EdTech platform, effectively positioning the company to launch our upcoming $2.0M institutional seed round.
Institution & Principal Investigator
Institution/Organization Name: Teacher Tutor Network (TTN)
Department or Center: Product Development & Academic Innovation
Name of Principal Investigator: Bryan K. Cotton, Founder & CEO
Co-Principal Investigator / Academic Lead: Joan Cotton, Co-Founder & Chief Academic Officer
Research Capital Needs & Timeline
Amount of Capital Required: $100,000 (Non-dilutive funding)
Budget Priorities:
1. Backend Engineering: Finalizing data-capture mechanics and machine learning integration.
2. Accessibility Optimization: Refining the UI/UX for students with 504/IEP designations to minimize cognitive fatigue.
3. System Validation: Conducting active quality assurance and stress-testing the live-session data loop.
Anticipated Timeline:
Days 1–30: Complete backend data infrastructure and optimize user interface accessibility features.
Days 31–45: Run active QA and validation testing during live tutoring sessions.
Days 46–60: Finalize MVP optimization, bug fixes, and prepare platform for market readiness and institutional seed round launch.
Research Status & Prior Funding
Current Stage:
Minimum Viable Product (MVP) Development. The core software architecture is 50% completed. The foundational code for the platform has been written, and the project is now entering the final 60-day engineering sprint. This final phase will focus on completing the backend data-capture infrastructure and optimizing the user interface for students with 504/IEP designations.
Prior Funding:
Yes. To date, Teacher Tutor Network has been funded through a combination of founder capital and early-stage investment from five angel investors. This capital has been successfully deployed to complete 50% of our software development, secure intellectual property, and handle legal formation. No institutional venture capital has been raised to date.
Research Team & Collaboration
Key Team Members:
Kenneth James Iconos, Chief Operating Officer: Oversees technical execution, cloud infrastructure, and network architecture. A professional member of the National Society of IT Service Providers, he brings 20 years of extensive experience specializing in IT infrastructure management, enterprise cloud environments, and robust data security/disaster recovery systems. His deep expertise in deploying secure technology solutions across the education sector ensures a highly stable, scalable, and compliant platform architecture for TTN’s proprietary data loops.
Joan Cotton, Co-Founder & Chief Academic Officer: Directs curriculum framework, 504/IEP pedagogical alignment, and live-tutoring quality control. Brings 11 years of hands-on classroom teaching experience specializing in student engagement and individualized learning strategies.
Kenneth James Iconos, Chief Operating Officer: Oversees technical execution, cloud infrastructure, and network architecture. A professional member of the National Society of IT Service Providers, he brings 20 years of extensive experience specializing in IT infrastructure management, enterprise cloud environments, and robust data security/disaster recovery systems. His deep expertise in deploying secure technology solutions across the education sector ensures a highly stable, scalable, and compliant platform architecture for TTN’s proprietary data loops.
Joseph Werle, MBA, Chief Financial Officer: Manages financial strategy, corporate capitalization, and accounting compliance, providing enterprise-grade financial oversight to ensure rigorous milestone tracking and budget accountability during the MVP development sprint.
Collaborating Institutions & Partners:
Mindly Care (Exploratory Alignment): Following an introduction by the Alliance, TTN is exploring future collaborative synergies with Mindly Care. Because our platforms are highly complementary, we are evaluating pathways to bridge Mindly Care’s expertise in real-time behavioral and clinical symptom tracking with TTN’s live academic engagement data. This alignment aims to provide a holistic, data-driven framework that unifies behavioral insights and personalized tutoring for the broader 504 and IEP community once our MVP development is finalized.