Privacy-first AI wellness coaching. Local inference on WCN-controlled hardware. No cloud AI vendor. No third-party data processing. The architecture is the product.
Production LLM inference running on WCN hardware. User health data never leaves our infrastructure. Verifiable by architecture — not by policy.
Whoop. Fitbit. Oura. Apple Watch. AI is being embedded into every fitness and wellness platform on the market. All of them cloud-dependent. Your biometric data processed on servers you don't control.
Location services off by default. VPN-paying. Wants AI-assisted personal development — and is increasingly unwilling to pay for it with their health data. No product in this market credibly addresses them.
The Spark processes everything on WCN hardware. At no point does intake data touch OpenAI, Anthropic, Google, or any third-party AI provider.
Full production platform: intake, habit tracking, daily logging, AI Look Back, PDF delivery, lead capture, coach admin UI, native iOS app. Ambassador tabling active. wawawednesday.com live.
The 100 Days of Summer study is a Drexel IRB-approved randomized controlled trial. Three conditions. 100 days. Does AI personalization improve habit adherence beyond generic nudging?
This study structure qualifies as feasibility documentation for an NSF Phase I application. Non-dilutive funding path active in parallel.
Global digital health market exceeds $200B. The differentiator this market does not have: privacy-preserving local infrastructure with longitudinal study data behind it.
Direct consumer. Privacy-conscious early adopters. Subscription model.
Same local inference stack. Spanish intake, Spanish output — not translated English. Independent commercial revenue path. No IRB entanglement.
Coaches, gyms, corporate wellness. Low CAC, recurring revenue. The growth layer.
Jason Rashaad, MBA, PMP. Senior technical program leader — Ford, GM, Amazon, State of Michigan, Intelligence Community. Currently on contract at Comcast. Drexel DBA candidate. NASM CPT + CNC. Corporate Faculty, Harrisburg University (Entrepreneurship & Innovation).
Architected and shipped the entire platform solo. Federal IRB approval navigated. Live research study running. Provisional patent filed. Enterprise background is why the infrastructure is production-grade and the compliance posture is defensible.
The ask is clearly scoped, clearly justified, and the use-of-funds breakdown is specific down to the line item. The Drexel Executive DBA tuition is not separable from the research — without the final two quarters, there is no experiment, no published data, and no degree. That cost funds the existence of this work.
DBA completed. Longitudinal RCT data published. Platform validated at 100+ participant scale. espanol.whatcomesnextllc.ai live. Coach's Clipboard ready for B2B licensing. NSF SBIR Phase II eligible.
The full prospectus — including the complete use-of-funds breakdown and funding path details — is at whatcomesnextllc.ai/invest.
For direct conversation:
Full prospectus including financials at whatcomesnextllc.ai/invest.
coach@whatcomesnextllc.ai