Roadmap
From research to reality — how we're building Classification Infrastructure to prevent misclassification harm
The Mission
Build a governance system that prevents misclassification harm at every level — from individual diagnosis to systemic healthcare policy.
Primary Goal
Reduce average misdiagnosis delay from 7 years to less than 1 year
Impact Target
Lower comorbidity rates in neurodivergent populations by 40%+
Scale Target
Reach 100,000+ neurodivergent people with proper support
Seven Core Sectors
The Classification Infrastructure Empire spans seven integrated sectors addressing the full ecosystem
Evidence-grade frameworks with legal liability protection
Ethical AI adapting to neurodivergent needs
40+ ready-to-deploy tools for specialized populations
Dual diagnosis solutions for ND/addiction comorbidities (23% ADHD)
Bridging diagnostic deserts (70% of rural counties lack psychiatrists)
Establishing divergence as a governance-grade primitive
Protecting against algorithmic bias liability (Mobley v. Workday)
Implementation Phases
Phase 1: Validation
CompletedProve the misclassification → comorbidity link with real users
Key Milestones
- Research compilation (122+ sources)
- Niches & Matrices framework development
- User interviews with neurodivergent community
- Prototype nūc interface
- Early adopter feedback validation
Outcomes Achieved
- ✅ Evidence base established
- ✅ Framework validated by lived experience
- ✅ Prototype demonstrates concept viability
- ✅ Community trust built
Phase 2: Platform
In ProgressBuild production-ready Classification Infrastructure platform
Key Milestones
- Full nūc platform development
- PRM, CDM, ESM, CIM matrix engine implementation
- Mind-map UI with real-time status tracking
- Attention system for crisis detection
- Integration with support resources
- Beta testing with neurodivergent users
- Iterative refinement based on feedback
Target Outcomes
- 🔄 Core platform functional
- 🔄 Matrix engines routing effectively
- ⏳ Beta user testing in progress
- ⏳ Crisis detection system refinement
Phase 3: Scaling
FutureDeploy at scale to prevent misclassification harm systematically
Key Milestones
- Q1 2026: Mobley-responsive enterprise audits, dual diagnosis protocols
- Q2 2026: Deploy 20+ microkits, rural provider training programs
- Q3 2026: Launch addiction/recovery infrastructure, achieve $150K MRR
- Q4 2026: Complete Defining Divergence series, enterprise certification programs
- Healthcare system partnerships
- Educational institution integration
- Policy advocacy for ND-aware classification
Target Outcomes
- Year 1 (2026): $325K - Bootstrap + validation
- Year 2 (2027): $2.3M - Growth + market penetration
- Year 3 (2028): $7.3M - Scale + enterprise dominance
- Reduce average misdiagnosis delay from 7 years to <1 year
- Lower comorbidity rates in users by 40%+
- Reach 100,000+ neurodivergent people
Current Focus: Phase 2
We're actively building the production platform right now. Here's what's happening:
Core nūc Platform
Chat interface, dashboard, and foundational architecture complete
Matrix Engine Development
PRM, CDM, ESM, CIM being implemented with real-time routing logic
Mind-Map UI
Interactive visualization system with status tracking and attention routing
Beta Testing Upcoming
Preparing to onboard neurodivergent users for real-world validation (Q3 2025)
Join the Mission
Help us build Classification Infrastructure and prevent misclassification harm