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What Comes Next? LLC
The AI that runs
in your building.

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.

The Catalyst Pipeline

Production LLM inference running on WCN hardware. User health data never leaves our infrastructure. Verifiable by architecture — not by policy.

Live in production IRB-approved study underway Provisional patent filed 2025 Ardmore, PA
The Problem
Every wellness app
owns your data.

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.

The customer is already here

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 Solution
Local inference.
Real sovereignty.

The Spark processes everything on WCN hardware. At no point does intake data touch OpenAI, Anthropic, Google, or any third-party AI provider.

!
The Spark — wellness intake, habit selection, daily logging, weekly retrospective. Free to users.
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The Catalyst — local LLM inference pipeline on WCN-controlled hardware. No cloud dependency.
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Coach's Clipboard — coach-facing admin layer. Future B2B offering.
¿
espanol.whatcomesnextllc.ai — Spanish-language product in development. Same architecture. Your words back to you in the language you spoke them.
Traction
Production system.
Live study.
100
Days — study duration
4
Cohorts — rolling enrollment Summer 2026
210
Max participants, IRB-approved
3
Experimental conditions — RCT design
What's live today

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 Research
Dissertation-grade
validation built in.

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?

1
Control — platform access, in-app Coach's Note, no push notifications
2
Generic nudge — standardized push notifications, identical across group
3
AI-personalized nudge — notifications generated from participant's own logged behavioral data
NSF SBIR DH5 eligible

This study structure qualifies as feasibility documentation for an NSF Phase I application. Non-dilutive funding path active in parallel.

Market
Privacy is the
emerging expectation.

Global digital health market exceeds $200B. The differentiator this market does not have: privacy-preserving local infrastructure with longitudinal study data behind it.

B2C English
The Spark + 100 Days

Direct consumer. Privacy-conscious early adopters. Subscription model.

B2C Spanish — espanol.whatcomesnextllc.ai
Your words back to you. In the language you spoke them.

Same local inference stack. Spanish intake, Spanish output — not translated English. Independent commercial revenue path. No IRB entanglement.

B2B
Coach's Clipboard

Coaches, gyms, corporate wellness. Low CAC, recurring revenue. The growth layer.

The Founder
20 years of enterprise.
Built this himself.

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).

Why this founder

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.

PMP — 15 years Previously CISSP Previously TS/SCI Drexel DBA 2027 NASM CPT + CNC Harrisburg University Faculty
The Ask
18 months of runway.
A defined finish line.

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.

By December 2027

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:

coach@whatcomesnextllc.ai
Funding Paths
No match required.
Multiple doors open.
1
NSF SBIR Phase I — non-dilutive grant. DH5 (Behavioral Health) + AI. The IRB study is the feasibility documentation. No match, no equity. Active application in progress.
2
Drexel Startups Fund (Baiada Institute). Non-dilutive. Explicitly for enrolled Drexel students. Graduate student preference. Includes Drexel alumni investor introductions.
3
Dreamit Ventures Healthtech. Philadelphia-based accelerator. No match requirement. Drexel alumni on staff. Traction-ready requirement: met.
4
Direct contribution. 18 months. Study data + DBA completion is the milestone. Full details at whatcomesnextllc.ai/invest.

Full prospectus including financials at whatcomesnextllc.ai/invest.

coach@whatcomesnextllc.ai