Investor deck
All Things AI
AI that lives on your device. Free. No subscriptions, ever.
allthingsn.com
The problem
Consumer AI today makes you pay twice.
01
A monthly subscription.
02
Your data, shipped to someone else's cloud.
Accounts, paywalls, round-trips — a tax on the user.
Our thesis
Modern phones are supercomputers.
Serious AI can run entirely on-device: private by default, instant, works offline — and near-zero marginal cost to serve, which is why we can afford “free, forever.”
Private by default
Instant
Works offline
Near-zero marginal cost
In the agentic era, the best AI products won't be a tax on customers.
What we do
A small studio building privacy-first consumer apps.
20+
apps built
17
live on the App Store
Every one free — no subscriptions, no ads, no paywalls. Data stays on the device.
Flagship: Form Coach
Form Coach
Live form coach in your pocket
Your camera becomes a personal trainer.
500+ exercises tracked with on-device computer vision — real-time rep counting, form scoring, mid-set coaching.
Live on iOS, Apple Watch, and Android.
It's working
It's working.
~1,000
monthly active users
100%
organic — $0 ever spent on marketing
17–21%
Form Coach App Store page conversion
Around the Fitness category's 75th percentile.
AI-native distribution
We build to be recommended — by search engines and by LLMs.
#2
ChatGPT is our #2 referral source after Google
~59%
of the users it sends convert to a download
We're also a top Google result for “best apps without subscription.”
The engine model
Shared core technology across apps.
The pose-estimation engine behind Form Coach also powers Yoga Coach.
Ship broadly, learn what pulls, double down — the portfolio compounds.
Pose-estimation engine
Form Coach
Yoga Coach
Business model
Free today by design.
On-device inference costs us almost nothing to serve.
Monetization roadmap built around our promise:
Premium unlocks
Technology licensing
Never subscriptions.
Founder
Ankit Jhalaria
Founder & CEO
- 15 years building AI and data platforms at scale. Most recently Director of Engineering for a public internet company's enterprise AI platform — the required path for ~90% of its AI products, 100+ LLMs behind one governed interface at 99.9% uptime.
- Before that, built the company-wide data mesh as Director of Engineering, Data Platform: petabyte-scale, 2,000+ data products across 10+ lines of business. Earlier, Principal Engineer on the same platform.
- Technical advisor to a top-tier NYC seed-stage VC. Featured by AWS on AI-assisted product development; author on the AWS Big Data Blog.
- Apache Beam open-source contributor; speaker at Flink Forward and Beam Summit.
- M.S. Computer Science, USC. Based in the Bay Area.
What's next
What's next.
01
Deepen the flagship (retention, daily habit loops)
02
Localize into 12 languages
03
Grow Android
04
Keep shipping for the agentic era