AI Product Studio · Seoul, Korea

AI and data that turnone dive into the next

People dive deep into one thing, then find the next thing worth diving into. Chain of Dive uses AI and data to keep that chain unbroken — Twins for the connections between people, DiveApp for the ones inside a business.

See the products Investor inquiry

Company at a glance

2: Products in development and serviceTwins · DiveApp
B2C + B2B: Two revenue enginesAn app that connects people · A solution that connects a business
AI: Our own models for personality and performanceApplied on both sides
Google Cloud: Container-based operationsCloud Run · asia-northeast1

Why Chain of Dive

A dive is never just one dive

Go deep enough into something and you can see the next thing worth going into. We call that a chain of dives, and we put it in the company name. The problem is how often the chain breaks. Chain of Dive uses AI and data to reconnect it.

01Dive

Answers live one layer down

We do not stop at surface numbers. Whether it is someone's personality or where ad spend went, the next move only appears once you go deeper.

02Chain

One dive carries into the next

Conversations keep going; revenue funds the next bet. Finding the break points and removing them is what our products do.

03Code

Engineering holds the chain together

Apps, data collection, and analytics are all built in-house. Nothing is bolted on, so nothing comes apart.

Products

Product lineup

One connects the dives between people, the other the dives inside a business. We build both apps ourselves, and measure what happens inside them ourselves.

B2C · DatingAndroid testing · iOS in development

Twins

An AI twin talks first, and only introduces the people you click with.

Photo-first dating, inverted. Answer a personality survey and an AI twin of you is built; two people's twins then talk to each other first. How well that conversation actually flowed becomes a compatibility score and report, so only the matches that clicked get introduced. No awkward opening message to write.

Platform: Android · iOS
Core: Twin conversation simulation
Model: Subscription · in-app purchase

Visit twins.chainofdive.com

Key capabilities

A twin that resembles you

The survey builds an AI twin that grows more like you the more you answer — Big Five traits, relationship outlook, and conversational style included.

The twins talk first

Two people's twins hold the conversation on their behalf, and an introduction only follows if it held up.

Compatibility report

What matched and what might not, side by side, so both people start out already understanding each other.

B2B · Commerce app · MMPIn service

DiveApp

Turn a shop into a native app — with marketing measurement built in.

Native app launches and marketing measurement (MMP) delivered as one product for online shop owners. It replaces i-apps for the app build and Airbridge for measurement. Collapsing two vendors into one means the app and the measurement SDK come from the same team, so accurate data accrues from day one with no SDK integration in between.

For: Online shop owners
Replaces: i-apps · Airbridge
Model: Setup fee + monthly subscription

Visit diveapp.chainofdive.com

Key capabilities

Native app launch

We build the shop into a store-ready native app ourselves, with push and deep links included.

Marketing measurement (MMP)

Ad click through install to purchase stays connected, so ROAS and retention are visible per channel.

What merging them buys

Because we build the app, the measurement SDK ships inside it. The integration and validation steps disappear.

Technology

We build the app and the data, so the connection holds

Both products are built in-house, from the app through data collection to the analytics surface. There is no integration or validation step that an external tool would demand, and a signal a user leaves in the app feeds straight into the next improvement.

How a connection gets made

01
Build
We build the app and embed the SDK ourselves
02
Collect
Behavior and answers captured straight from the app
03
Connect
Personality tied to people, ad spend tied to revenue
04
Learn
Models and metrics recomputed
05
Act
Back into the product as recommendations and dashboards

Stack

Android · iOS native builds

Our own pipeline through to store release

In-house measurement SDK

Captures in-app behavior and where users came from

Next.js (App Router)

Server Components for web and dashboards

TypeScript

Type safety across the product surface

Docker · Artifact Registry

Reproducible container builds

Google Cloud Run

A runtime that scales with traffic

Roadmap

Now, next, later

Milestones per product and the resources behind them. Detailed metrics and financials are shared separately in the IR deck.

Now

Solidify both products

Improve DiveApp attribution accuracy and harden operations
Improve accuracy of the Twins personality model
Automate the app build pipeline

Launch Twins and acquire early users
Ship self-serve onboarding for DiveApp
Land reference shops and publish case studies

Later

Scale on measurement data

Expand ad channel integrations
Recommendations and retargeting from shop data
Extend the product lineup

Contact

Investment, partnership, and hiring

We welcome IR deck requests, product demos, and technical collaboration. We reply within two business days.

Send us an email Explore DiveApp

contact@chainofdive.com