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FlowOS
AI × Neurodiversity — Seed Round

Your brain
has a pattern.
We decode it.

The first cognitive operating system for ADHD minds — predict your focus windows, enter flow state on demand.

ADHD
Primary Target
Flow
On Demand
AI
Personalized
The Problem
“I don’t know
when I can focus.”

ADHD is not a discipline problem.
It is a state regulation problem.
366M+ adults worldwide — none of them can
reliably predict when they’ll enter flow.

The Gap

Current tools weren’t built
for ADHD brains.

Calendar Apps
Assume you can schedule focus. ADHD brains don’t work on command.
To-Do Lists
Require consistent discipline — the exact thing ADHD impairs most.
Habit Trackers
Track behavior. Give generic advice. Never adapt to your actual brain state.

Every tool out there records your life. None of them predict it.

The Solution

A four-step cognitive
operating system.

01
Collect
Sleep, food, caffeine, hydration, movement, mood — logged passively, zero friction.
02
Learn
AI detects your personal focus patterns — when you peak, what kills your concentration.
03
Predict
“Peak focus window in 30 min.” “Avoid deep work now — low energy signal detected.”
04
Flow Mode ✦
Actively guides you into flow — timing, environment, task sequencing, dopamine ramp.
Key Differentiator

Flow Mode.
On demand.

We don’t just tell you when to focus. We guide you in — actively, intelligently, every single time.

⏱
Timing Engine
Schedules deep work at predicted peak windows based on your biometric patterns.
🌡
Environment Cues
Sound, light, and distraction settings tuned precisely to your focus profile.
🧩
Task Sequencing
Presents the right task at the right moment — dopamine ramp built in by design.
🔁
Feedback Loop
Every session retrains the model. The system gets sharper with you over time.
Market Opportunity

A massive, underserved market.

Primary
ADHD Users
Students & young professionals. 366M+ globally. Chronically underserved by existing productivity tools.
Secondary
Knowledge Workers
Remote workers, developers, writers, creatives — anyone whose output depends on sustained focus.
Expansion
Enterprise
Schools, universities, companies investing in employee cognitive wellness and performance.

366M+ adults diagnosed with ADHD worldwide. Growing 3× faster than the productivity app market.

Technology

Built different, from
the ground up.

Behavior Input
Sleep, food, habits, mood — time-series streams
Personal Model
Per-user ML — no population averages
Prediction
Focus score + timing windows
Feedback
Outcomes retrain the model continuously
Time-series behavior modeling Per-user personalized models (not generic advice) Reinforcement learning optimization loop Privacy-first on-device processing
Roadmap

Realistic, staged execution.

v1
Foundation
  • Manual behavior logging
  • Rule-based focus insights
  • Focus score dashboard
  • iOS + Android MVP
v2
Intelligence
  • ML-based focus predictions
  • Personalized pattern detection
  • Smart scheduling integration
  • Wearable data support
v3
Flow
  • Real-time recommendations
  • Full Flow Mode activation
  • RL optimization engine
  • Enterprise dashboard
The Builders

The right team
for this problem.

Aria Shi
ML & Backend Engineering
MSE Scientific Computing, University of Pennsylvania
BSc Mathematics & Physics, University College London
Building the prediction engine and data infrastructure
Shufang Tan
Research & Cognitive Science
PhD Cognitive Science, Peking University
MSc Computer Science, Tsinghua University
Researcher, Children's Hospital of Philadelphia (CHOP)

A rare combination of ML engineering depth and clinical cognitive science — built specifically for this intersection.

The Vision

Not productivity.
Cognitive
engineering.

We’re building the operating system for neurodiverse minds — starting with ADHD, expanding to anxiety, burnout, and cognitive optimization for everyone.

xish@seas.upenn.edu tans4@chop.edu “This is not productivity — it’s cognitive engineering.”
FlowOS — Cognitive AI for ADHD
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