APPLIKAI
The visual app builder for AI
and Human collaboration in real time
Julien
Mathieu
AI
Paul
Team
Repeat founders
And top-tier advisors
Thomas Rebaud
Founder of Meero (French Unicorn), investor, strategic advisor
Romain Dillet
Former Techcrunch reporter, investor, strategic advisor
Operating for years in the software development industry.
Mathieu Spiry
CEO
Co-founder & CEO of several tech startups
4 patents filled in AI
Shipped 10 mobiles apps
Tens of millions of users
Tech & economics analyst for a French news channel
Millions raised with Kima, Blast Club, ORT
—
Audencia & Efrei
Julien Goupy
CTO
CTO of Tempow, acq by Google in 2020
40 patents filled
Shipped Android kernel drivers to 50+ millions of devices with Lenovo, Motorola and TCL
Shipped 4 mobiles apps to millions of users
Millions raised with Balderton, C4 and Kima
—
Ecole Polytechnique & UC Berkeley
Paul Jentgen
CPO
Lead Senior Designer at Publicis
Designed 40+ mobile apps
Designed 20+ SaaS
Freelanced for BEATS, Audi, Ubisoft US
—
Hetic & Strat College
Problem
Human-AI collaboration is now critical in software development, but existing AI-tools all share the same limitations.
This is not a collaborative interface
Can't be used by product, marketing, ops, … teams
It works only through prompts,
on-request
Codebase gets messy and create a technical debt
And even more importantly, existing AI tools are structurally locked out by legacy code and
outdated choices
And even more importantly, they rely on a code base which is the wrong foundation for
building apps with AI. Code was not designed to be edited simultaneously by both humans and AI.
Vision
A paradigm shift
Source code is the wrong foundation to build apps with AI
Source code
Applikai
Encode user intent
Real Time editing with dozens of agents
Real Time editing with dozens of agents
Improve with new AI model
All domain experts (UI/Ux/dev) work on a single source a truth
Low LLM context consumption
Applikai, and its custom intent-based layer, is the next step of software building
Elon agrees :) https://x.com/i/status/2021805528309956905
Product
Applikai is the visual interface powering how humans and ambient AI build software together
Infinite Canvas
Optimal to interact & display information
AI
Sarah
Collaboration real time
Between AI and Humans
Sarah
Pro active AI agents
Product, dev, PO, design
Sarah
Alex
We are currently iterating on a first prototype. Our initial goal is to build the minimum end-to-end ambient AI experience.
Continuous collaboration, human and ambient AI.
One workspace
One workspace, one shared model.
Strategy
We start with mobile applications
Where iteration speed, state, offline behavior, and collaboration constraints are the highest. If collaboration works here, it works anywhere.
This makes mobile the most demanding and revealing entry point.
Moreover, the app market is surging again (Worldwide app revenues now exceed game revenues in 2025 at $85B )
How do we win?
Competition
1. A shared application model, not generated code, our proprietary DSL
- A living representation of the application for humans and AI
2. Ambient AI, not on-demand generation
- Persistent agents that observe and act continuously
3. A visual interface designed for collaboration under real constraints
- Humans and AI agents working together on an infinite canvas
- Designed for real, long-lived applications (mobile-first)
We changed the abstraction software is built on
Others optimize for speed of first drafts.
We optimize for speed of iteration at scale.
That’s why Applikai goes beyond the first prototype.
Traction / design partners
🎯 Validating collaboration before scaling generation
- Teams collaborating on the same application model
- Humans and AI agents making changes continuously through a shared visual canvas
- Real applications evolving over time (not demos)
We don’t measure success by the number of apps shipped, but by apps that survive and evolve.
Simple and familiar interface
Collaborating with AI
Publish & iterate
Raising a €2.5M pre-seed round
This round is about proving the foundation, not scaling the platform.
1. A shared application model, not generated code, our proprietary DSL
Targeting 18 months runway to iterate on the product and reach product-market-fit
18-months runway
Building a 8-person team working in-person in Paris, France
Team 50%
Inference 30%
Groth experiments 20%
Product
Upload rough ideas, existing UIs or hand-drawn screens
Agents refine into production structure and proactively ask questions when ambiguous.
Figma-like when working on a wireframe.
Morphing UI: Applikai’s entire interface continuously generates itself live depending on
Applikai’s entire interface continuously generates itself live adapting to the user’s current actions : that’s “Morphing UI”
Morphing UI: Applikai’s entire interface continuously generates itself live
Morphing UI: Applikai’s entire interface continuously generates itself live
Collaboration goes beyond app development
Agents and Humans can produce marketing content or analyse app metrics (churn / retention / ...) in order to iterate on the app
APPLIKAI
The visual app builder for AI
and Human collaboration in real time
Julien
Mathieu
AI
Paul
Team
Repeat founders
And top-tier advisors
Thomas Rebaud
Founder of Meero (French Unicorn), investor, strategic advisor
Romain Dillet
Former Techcrunch reporter, investor, strategic advisor
Operating for years in the software development industry.
Mathieu Spiry
CEO
Co-founder & CEO of several tech startups
4 patents filled in AI
Shipped 10 mobiles apps
Tens of millions of users
Tech & economics analyst for a French news channel
Millions raised with Kima, Blast Club, ORT
—
Audencia & Efrei
Julien Goupy
CTO
CTO of Tempow, acq by Google in 2020
40 patents filled
Shipped Android kernel drivers to 50+ millions of devices with Lenovo, Motorola and TCL
Shipped 4 mobiles apps to millions of users
Millions raised with Balderton, C4 and Kima
—
Ecole Polytechnique & UC Berkeley
Paul Jentgen
CPO
Lead Senior Designer at Publicis
Designed 40+ mobile apps
Designed 20+ SaaS
Freelanced for BEATS, Audi, Ubisoft US
—
Hetic & Strat College
Problem
Human-AI collaboration is critical, but our tools were never designed for it
This is not a collaborative interface
Can't be used by product, marketing, ops, … teams
It works only through prompts, on-request
Codebase gets messy and create a technical debt
And even more importantly, existing AI tools are structurally locked out by legacy code and
outdated choices
And even more importantly, they rely on a code base which is the wrong foundation for
building apps with AI. Code was not designed to be edited simultaneously by both humans and AI.
Vision
A paradigm shift
Source code is the wrong foundation to build apps with AI
Source code
Applikai
Encode user intent
Real Time editing with dozens of agents
Real Time editing with dozens of agents
Improve with new AI model
All domain experts (UI/Ux/dev) work on a single source a truth
Low LLM context consumption
Applikai, and its custom intent-based layer, is the next step of software building
Elon agrees :) https://x.com/i/status/2021805528309956905
Product
Applikai is the visual interface powering how humans and ambient AI build software together
Infinite Canvas
Optimal to interact & display information
AI
Sarah
Collaboration real time
Between AI and Humans
Sarah
Pro active AI agents
Product, dev, PO, design
Sarah
Alex
We are currently iterating on a first prototype. Our initial goal is to build the minimum end-to-end ambient AI experience.
Product
Upload rough ideas, existing UIs or hand-drawn screens
Agents refine into production structure and proactively ask questions when ambiguous.
Figma-like when working on a wireframe.
Morphing UI: Applikai’s entire interface continuously generates itself live depending on
Applikai’s entire interface continuously generates itself live adapting to the user’s current actions : that’s “Morphing UI”
Morphing UI: Applikai’s entire interface continuously generates itself live
Morphing UI: Applikai’s entire interface continuously generates itself live
Collaboration goes beyond app development
Agents and Humans can produce marketing content or analyse app metrics (churn / retention / ...) in order to iterate on the app
One workspace
One workspace
Continuous collaboration, human and ambient AI.
Strategy
We start with mobile applications
Where iteration speed, state, offline behavior, and collaboration constraints are the highest. If collaboration works here, it works anywhere.
This makes mobile the most demanding and revealing entry point.
Moreover, the app market is surging again (Worldwide app revenues now exceed game revenues in 2025 at $85B )
Competition
How do we win?
We changed the abstraction software is built on
1. A shared application model, not generated code
- A living representation of the application for humans and AI
2. Ambient AI, not on-demand generation
- Persistent agents that observe and act continuously
3. Collaboration-first interface, not terminal workflows
- Humans and AI agents working together on an infinite canvas
- Designed for real, long-lived applications (mobile-first)
Others optimize for speed of first drafts.
We optimize for speed of iteration at scale.
That’s why Applikai goes beyond the first prototype.
From validation to execution
What we have validated with 10 designs partners
- Teams don’t want AI generating code, they want to collaborate on a shared application model
- Continuous collaboration (humans + AI agents) is more valuable than one-off generation
- The real pain starts after the first prototype, when apps must evolve
We don’t measure success by the number of apps shipped, but by apps that survive and evolve.
Simple and familiar interface
Collaborating with AI
Publish & iterate
Raising a €2.5M pre-seed round
18 months runway
Targeting 18 months runway to iterate on the product and reach product-market-fit
Hiring 5 team members
Building a 8-person team working in-person in Paris, France
Team 50%
Inference 30%
Groth experiments 20%
This round is about proving the foundation with the right team, not scaling the platform.
APPLIKAI
The visual app builder for AI and Human collaboration in real time
Mathieu
Julien
AI
Paul
Team
Repeat founders
Operating for years in the software development industry.
Mathieu Spiry
CEO
Co-founder & CEO of several tech startups
4 patents filled in AI
Shipped 10 mobiles apps
Tens of millions of users
Tech & economics analyst for a French news channel
Millions raised with Kima, Blast Club, ORT
—
Audencia & Efrei
Julien Goupy
CTO
CTO of Tempow, acq by Google in 2020
40 patents filled
Shipped Android kernel drivers to 50+ millions of devices with Lenovo, Motorola and TCL
Shipped 4 mobiles apps to millions of users
Millions raised with Balderton, C4 and Kima
—
Ecole Polytechnique & UC Berkeley
Paul Jentgen
CPO
Lead Senior Designer at Publicis
Designed 40+ mobile apps
Designed 20+ SaaS
Freelanced for BEATS, Audi, Ubisoft US
—
Hetic & Strat College
Problem
Human-AI collaboration is now a necessity,
yet current AI-tools have identical core limitations.
Not a collaborative interface
Can't be used by product, marketing, ops, … teams
Only works through
prompts, on-request
Codebase gets messy and accumulates technical debt
And even more importantly, existing AI tools are structurally locked out by legacy code and
outdated choices
Any app builder relying on source code is destined to die out
Vision
A paradigm shift
Source code is the wrong foundation to build apps with AI
Source code
Applikai
Encode user intent
Quickly comprehend substantial changes
Real Time editing with dozens of agents
Improve with new AI model
All domain experts (UI/Ux/dev) work on a single source a truth
Low LLM context consumption
Applikai uses a custom intent-based layer
Elon agrees :) https://x.com/i/status/2021805528309956905
Product
Applikai is the visual interface powering how humans and ambient AI build software together
Infinite Canvas
Optimal to interact & display information
AI
Dev
Alex
William
Collaboration
in real time
Between AI and Humans
Sarah
UI
Pro active AI agents
Product, dev, PO, design
Dev
Product
Alex
We are currently iterating on a first prototype. Our initial goal is to build the minimum end-to-end ambient AI experience.
Product - Features
Applikai is reinventing software development
Starting a project is as simple as uploading rough ideas, existing UIs
or hand-drawn screens.
Agents refine into production structure and proactively ask questions when ambiguous.
Morphing UI
Applikai’s entire interface continuously generates itself live adapting to the user’s current actions
Contextual Figma-like interface
Voice activated spec builder interface
Collaboration goes beyond app development
Agents and humans can generate marketing materials or analyze key app metrics (churn, DAU, and similar) to guide iterative improvements
One workspace
One shared model
Continuous collaboration, human and ambient AI.
Strategy
We start with mobile applications
Where constraints are the highest, if collaboration works here, it works everywhere
This makes mobile the most demanding and revealing entry point.
Moreover, the app market is surging again (Worldwide app revenues now exceed game revenues in 2025 at $85B )
Competition
How do we win?
We changed the abstraction software is built on
1. A shared application model, not generated code
- A living representation of the application for humans and AI
2. Ambient AI, not on-demand generation
- Persistent agents that observe and act continuously
3. Collaboration-first interface, not terminal workflows
- Humans and AI agents working together on an infinite canvas
- Designed for real, long-lived applications (mobile-first)
Others optimize for speed of first drafts.
We optimize for speed of iteration at scale.
That’s why Applikai goes beyond the first prototype.
From validation to execution
What we have validated with 10 designs partners
- Teams don’t want AI generating code, they want to collaborate on a shared application model
- Continuous collaboration (humans + AI agents) is more valuable than one-off generation
- The real pain starts after the first prototype, when apps must evolve
In the next 90 days, we're building a focused mobile-first MVP
Simple and familiar interface
Collaborating with AI
Publish & iterate
Raising a €2.5M pre-seed round
18 months runway
Targeting 18 months runway to iterate on the product and reach product-market-fit
Hiring 5 team members
Building a 8-person team working in-person in Paris, France
Team 50%
Inference 30%
Growth experiments 20%
We have an incredible team ready
This round is about proving the foundation with the right team, not scaling the platform.