APPLIKAI
Collaborative Mobile AI App Builder
Julien
Mathieu
AI
Paul
Design, Spec, Push on Stores, Analytics
Team
Repeat founders
Operating for years in the software development industry.
Mathieu Spiry
CEO
Repeat entrepreneur
Built and led 20+ person teams (product,
tech, ops)
4 patents filed in AI
Shipped 10 mobile apps
Tens of millions of users
Millions raised with Kima, Blast Club, ORT
—
Audencia + Efrei + University of Cincinnati
(MS in CS // Ms in Management // MBA)
Happily married & proud father of three
Julien Goupy
CTO
Co-founder & CTO at Tempow (Acq. by Google)
40 patents filed
Shipped Android kernel drivers to 50+ million of devices with Lenovo, Motorola and TCL
Shipped 4 mobile apps to million of users
Millions raised with Balderton, C4 and Kima
—
École Polytechnique + UC Berkeley
(MSc in CS/ML // MS MS&E)
Paul Jentgen
CPO
Lead Koyeb (Acq. by Mistral AI) developer experience
Lead Senior Designer at Publicis
Designed 40+ mobile apps
Designed 20+ SaaS
Freelanced for Beats, Audi, Ubisoft US
—
Hetic + Strat College
(MSc in Design // MSc in HCI)
Problem
Human-AI collaboration is now a necessity,
yet current AI tools share identical core limitations.
Not a collaborative interface
Can't be used by product, marketing, ops, … teams
Only works through
prompts, on demand
Codebase gets messy and piles up technical debt
And even more importantly, existing AI tools are structurally locked out
by legacy code and outdated choices
Any app builder still tied to source code
will be left behind.
Vision
The paradigm shift
Source code is the wrong foundation for building apps with AI
Source code
Rork
Applikai
Captures 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 of truth
Low LLM context consumption
Quick prototyping
Applikai uses a collaboration layer which is a custom shared application model (DSL)
Applikai is designed for AI, not “AI on top of existing tech”.
Competition
Existing players can’t and won’t compete
Code, Git, React are things of the past
AI model will evolve beyond tech made to frame human work
Legacy and tech debt lock-in
Adding AI on top of existing products is not that simple
Full rewrite of the entire stack is required to match Applikai’s features
Figma could not integrate agentic features into Figma Design and had to ship a completely separate Figma Make.
Product
Applikai is the visual workspace where humans and AI build software together
Infinite Canvas
Optimal to interact & display information
AI
Dev
Alex
William
Real-time collaboration
Between AI and Humans
Sarah
UI
Proactive AI agents
Product, dev, PO, design
Dev
Product
Alex
We are currently iterating on our first prototype. Initial goal: build the minimum viable end-to-end
ambient AI experience.
Product - Features
Applikai reinvents software development
for the AI era
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 interface continuously regenerates itself,
adapting live 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
Applikai
Leverage AI without losing control
Competition
Building a Category Leader
Viral Adoption Loop
- One canvas across all teams drives company-wide rollout
- Frictionless preview-to-production flow converts every tester into a customer
- Invite any stakeholder → active user in minutes
Exponential Network Advantage
- Public reusable asset library grows with every user
- Agents learn faster & faster from collective interactions
User Lock-in
- All knowledge, context, and custom apps live inside Applikai
- Switching costs become extremely high after the first real application is built
Future-proof by Default
- AI models getting better only improve Applikai
- Compatible with imagination-to-app style of models
- Accumulate data on all aspects of app building
Raising €2.5M
pre-seed
18 months runway
Iterate on the product and reach
product-market fit
Hiring 5 team members
Building an 8-person team working in-person in Paris, France
Team 50%
Inference 30%
Growth experiments 20%
Tier-1 team already in place
Hugo Le Picard
AI
PhD in AI and computer vision
Put in prod SOTA image generation and virtual try-ons model
Shipped first worldwide agentic KYC system for banking system (Kulipa)
Shipped first worldwide Singing Voice Model for AirBuds (1.5M DAU, a16z) accepted by US music Majors (Universal)
Strategic advisor for the French government on autonomous weapons, AGI and hardware sovereignty
Maxime Las
AI
Ex Bloomberg: Senior Lead AI
Freelance: Integrate AI agents into existing business
Shipped 30+ AI agents in production
$8M+ in cost savings
Senior Software Engineer in low latency, high reliability system
Antoine Soulier
Dev
Ex-Google (L8)
Worked on Android OS
Wrote the firmware for Apple AirPods competitors that was 50% more power efficient (last 6h instead of 4h for Apple) (and way better on all possible metrics)
FFmpeg contributor
Pierre-A Nicolay
Product
Senior Product Lead at Société Générale for customer facing apps, serving 26M+ customers worldwide
Scale multiple projects from 0 to 1M+ users as Senior Product Lead
Community manager and active contributor of Figma France community (Friends of Figma)
MSc in Cognitive Psychology & Human-Centered Design
Anonymous
Dev
Ex-Google (L7 - not L8 because too young)
Currently working in a well known French unicorn
This pre-seed round will accelerate the right team to ship Applikai.
APPENDIX
Appendix 1
Applikai, not a vibe-coded copycat
- Native runtime (C++23, Metal, Vulkan, WebGL)
- Semantic components: Wireframe, navigation, data model, and business rules.
- Dozens of humans and AI agents to collaborate in real time without the need for “git merge”
- The runtime delivers instant QR-code native previews on real devices
- One click push to App store with 120 FPS performance, sub-100 ms cold starts, and safe over-the-air updates.
- Integrated telemetry and AB testing without any third party in-app integration
Always Sync-ed
Appendix 2
Lovable
will not compete with Applikai
Core technical mismatch
- Git prevents real-time multi-user editing
- Git blocks coordinated work across dozens of AI agents
- Web-based code foundation eliminates instant mobile previews and over-the-air updates
Lovable's Legacy Inertia
- 8 million+ users and paying customer projects lock the company into its current architecture
- The mutable code base plus every prompt template, diffing agent, and Git tool will stay in place
- LLM orchestration for web codebases will not be replaced
Strategic reality
- Talent, culture, and internal processes are built to ship web apps
- Core engineering team has zero experience building production app engines for cross-platform mobile infrastructure
- $6.6B valuation and $200M ARR (Series B 2025) eliminate any room for a full pivot
Lovable copying Applikai means scrapping its architecture, their GTM, and their valuation while rebuilding from zero in a domain they have no experience in.
Appendix 3
F
i
g
m
a
will not compete with Applikai
Core technical mismatch
- Browser-based design canvas + .fig file format prevents native mobile runtime execution and packaging
- No structured entity system or version control adapted for real-time multi-agent editing
- web-based code foundation eliminates instant mobile previews and over-the-air updates
Figma cannot "just add Al" into its product
- Figma make is a different product from Figma Design because the data model of Figma Design was not built for agentic workflows
- Figma Make and Al features output prototypes. Not a complete mobile app.
- Entire product, plugins, templates, variables, and collaboration features are built around design handoff.
- Existing customer files, team processes, and ecosystem (plugins, Dev Mode, FigJam integration) cannot be discarded
Strategic reality
- Talent, culture, and internal processes are built around design tools, not working applications
- ~$14.5B market cap and~$1.37B revenue guidance for 2026 (post-IPO reset from 2025 peak) leave no room for a radical pivot to own the full app executable stack
Figma attempting to become Applikai would mean abandoning its core identity as the universal design tool, fragmenting its 10M+ designer ecosystem, and diluting the value of every existing fig file.
All to enter a market it has never operated in.
APPLIKAI
Collaborative Mobile AI App Builder
Julien
Mathieu
AI
Paul
Design, Spec, Push on Stores, Analytics
Team
Repeat founders
Operating for years in the software development industry.
Mathieu Spiry
CEO
Repeat entrepreneur
Built and led 20+ person
teams (product, tech, ops)
4 patents filed in AI
Shipped 10 mobile apps
Tens of millions of users
Millions raised with Kima,
Blast Club, ORT
—
Audencia + Efrei + University
of Cincinnati
(MS in CS // Ms in
Management // MBA)
Happily married & proud father of three
Julien Goupy
CTO
Co-founder & CTO at Tempow (Acq. by Google)
40 patents filed
Shipped Android kernel drivers to 50+ million of devices with Lenovo, Motorola and TCL
Shipped 4 mobile apps to million of users
Millions raised with Balderton, C4 and Kima
—
École Polytechnique + UC Berkeley
(MSc in CS/ML // MS MS&E)
Paul Jentgen
CPO
Lead Koyeb (Acq. by Mistral AI) developer experience
Lead Senior Designer at Publicis
Designed 40+ mobile apps
Designed 20+ SaaS
Freelanced for Beats, Audi, Ubisoft US
—
Hetic + Strat College
(MSc in Design // MSc in HCI)
Problem
Human-AI collaboration is now a necessity,
yet current AI tools share identical core limitations.
Not a collaborative interface
Can't be used by product, marketing, ops, … teams
Only works through
prompts, on demand
Codebase gets messy and piles up technical debt
And even more importantly, existing AI tools are structurally locked out
by legacy code and outdated choices
Any app builder still tied to source code will be left behind.
Vision
The paradigm shift
Source code is the wrong foundation for building apps with AI
Source code
Rork
Applikai
Captures 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 of truth
Low LLM context consumption
Quick prototyping
Applikai uses a collaboration layer which is a custom shared application model (DSL)
Applikai is designed for AI, not “AI on top of existing tech”.
Competition
Existing players can’t and won’t compete
Code, Git, React are things of the past
AI model will evolve beyond tech made to frame human work
Legacy and tech debt lock-in
Adding AI on top of existing products is not that simple
Full rewrite of the entire stack is required to match Applikai’s features
Figma could not integrate agentic features into Figma Design and had to ship a completely separate Figma Make.
Product
Applikai is the visual workspace where humans and AI build software together
Infinite Canvas
Optimal to interact & display information
AI
Dev
Alex
William
Real-time collaboration
Between AI and Humans
Sarah
UI
Proactive AI agents
Product, dev, PO, design
Dev
Product
Alex
We are currently iterating on our first prototype. Initial goal: build the minimum viable end-to-end ambient AI experience.
Product - Features
Applikai reinvents software development
for the AI era
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 interface continuously regenerates itself,
adapting live 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
Applikai
Leverage AI without losing control
Competition
Building a Category Leader
Viral Adoption Loop
- One canvas across all teams drives company-wide rollout
- Frictionless preview-to-production flow converts every tester into a customer
- Invite any stakeholder → active user in minutes
Exponential Network Advantage
- Public reusable asset library grows with every user
- Agents learn faster & faster from collective interactions
User Lock-in
- All knowledge, context, and custom apps live inside Applikai
- Switching costs become extremely high after the first real application is built
Future-proof by Default
- AI models getting better only improve Applikai
- Compatible with imagination-to-app style of models
- Accumulate data on all aspects of app building
Raising €2.5M pre-seed
18 months runway
Iterate on the product and reach
product-market fit
Hiring 5 team members
Building an 8-person team working in-person in Paris, France
Team 50%
Inference 30%
Groth experiments 20%
Tier-1 team already in place
Hugo Le Picard
AI
PhD in AI and computer vision
Put in prod SOTA image generation and virtual try-ons model
Shipped first worldwide agentic KYC system for banking system (Kulipa)
Shipped first worldwide Singing Voice Model for AirBuds (1.5M DAU, a16z) accepted by US music Majors (Universal)
Strategic advisor for the French government on autonomous weapons, AGI and hardware sovereignty
Antoine Soulier
Dev
Ex-Google (L8)
Worked on Android OS
Wrote the firmware for Apple AirPods competitors that was 50% more power efficient (last 6h instead of 4h for Apple) (and way better on all possible metrics)
FFmpeg contributor
Maxime Las
AI
Ex Bloomberg: Senior Lead AI
Freelance: Integrate AI agents into existing business
Shipped 30+ AI agents in production
$8M+ in cost savings
Senior Software Engineer in low latency, high reliability system
Anonymous
Dev
Ex-Google (L7 - not L8 because too young)
Currently working in a well known French unicorn
Pierre-A Nicolay
Product
Senior Product Lead at Société Générale for customer facing apps, serving 26M+ customers worldwide
Scale multiple projects from 0 to 1M+ users as Senior Product Lead
Community manager and active contributor of Figma France community (Friends of Figma)
MSc in Cognitive Psychology & Human-Centered Design
This pre-seed round will accelerate the right team to ship Applikai.
APPENDIX
Appendix 1
Applikai, not a vibe-coded copycat
- Native runtime (C++23, Metal, Vulkan, WebGL)
- Semantic components: Wireframe, navigation, data model, and business rules.
- Dozens of humans and AI agents to collaborate in real time without the need for “git merge”
- The runtime delivers instant QR-code native previews on real devices
- One click push to App store with 120 FPS performance, sub-100 ms cold starts, and safe over-the-air updates.
- Integrated telemetry and AB testing without any third party in-app integration
Always
Synced
Appendix 2
Lovable
will not compete with Applikai
Core technical mismatch
- Git prevents real-time multi-user editing
- Git blocks coordinated work across dozens of AI agents
- Web-based code foundation eliminates instant mobile previews and over-the-air updates
Lovable's Legacy Inertia
- 8 million+ users and paying customer projects lock the company into its current architecture
- The mutable code base plus every prompt template, diffing agent, and Git tool will stay in place
- LLM orchestration for web codebases will not be replaced
Strategic reality
- Talent, culture, and internal processes are built to ship web apps
- Core engineering team has zero experience building production app engines for cross-platform mobile infrastructure
- $6.6B valuation and $200M ARR (Series B 2025) eliminate any room for a full pivot
Lovable copying Applikai means scrapping its architecture, their GTM, and their valuation while rebuilding from zero in a domain they have no experience in.
Appendix 3
F
i
g
m
a
will not compete with Applikai
Core technical mismatch
- Browser-based design canvas + .fig file format prevents native mobile runtime execution and packaging
- No structured entity system or version control adapted for real-time multi-agent editing
- web-based code foundation eliminates instant mobile previews and over-the-air updates
Figma cannot "just add Al" into its product
- Figma make is a different product from Figma Design because the data model of Figma Design was not built for agentic workflows
- Figma Make and Al features output prototypes. Not a complete mobile app.
- Entire product, plugins, templates, variables, and collaboration features are built around design handoff.
- Existing customer files, team processes, and ecosystem (plugins, Dev Mode, FigJam integration) cannot be discarded
Strategic reality
- Talent, culture, and internal processes are built around design tools, not working applications
- ~$14.5B market cap and~$1.37B revenue guidance for 2026 (post-IPO reset from 2025 peak) leave no room for a radical pivot to own the full app executable stack
Figma attempting to become Applikai would mean abandoning its core identity as the universal design tool, fragmenting its 10M+ designer ecosystem, and diluting the value of every existing fig file.
All to enter a market it has never operated in.
APPLIKAI
Collaborative Mobile AI App Builder
Mathieu
Julien
AI
Paul
Design, Spec, Push on Stores, Analytics
Team
Repeat founders
Operating for years in the software development industry.
Mathieu Spiry
CEO
Repeat entrepreneur
Built and led 20+ person teams (product,
tech, ops)
4 patents filed in AI
Shipped 10 mobile apps
Tens of millions of users
Millions raised with Kima, Blast Club, ORT
—
Audencia + Efrei + University of Cincinnati
(MSc in Management // MSc in CS // MBA)
Happily married & proud father of three
Julien Goupy
CTO
Co-founder & CTO at Tempow (Acq. by Google)
40 patents filed
Shipped Android kernel drivers to 50+ million of devices with Lenovo, Motorola and TCL
Shipped 4 mobile apps to million of users
Millions raised with Balderton, C4 and Kima
—
École Polytechnique + UC Berkeley
(MSc in CS/ML // MS MS&E)
Paul Jentgen
CPO
Lead Koyeb (Acq. by Mistral AI) developer experience
Lead Senior Designer at Publicis
Designed 40+ mobile apps
Designed 20+ SaaS
Freelanced for Beats, Audi, Ubisoft US
—
Hetic + Strat College
(MSc in Design // MSc in HCI)
Problem
Human-AI collaboration is now a necessity,
yet current AI tools share identical core limitations.
Not a collaborative interface
Can't be used by product, marketing, ops, … teams
Only works through
prompts, on demand
Codebase gets messy and piles up technical debt
And even more importantly, existing AI tools are structurally locked out by legacy code and
outdated choices
Any app builder still tied to source code will be left behind.
Vision
The paradigm shift
Source code is the wrong foundation for building apps with AI
Source code
Rork
Applikai
Captures user intent
Quickly comprehend substantial changes
Real-time editing with dozens of agents
Retro actively improve with new AI model
All domain experts
(UI/UX/dev) work on a single source of truth
Low LLM context consumption
Quick prototyping
Applikai uses a collaboration layer which is a custom shared application model (DSL)
Applikai is designed for AI, not “AI on top of existing tech”.
Competition
Existing players can’t and won’t compete
Code, Git, React are things of the past
AI model will evolve beyond tech made to frame human work
Legacy and tech debt lock-in
Adding AI on top of existing products is not that simple
Full rewrite of the entire stack is required to match Applikai’s features
Figma could not integrate agentic features into Figma Design and had to ship a completely separate Figma Make.
Product
Applikai is the visual workspace where humans and AI build software together
Infinite Canvas
Optimal to interact & display information
AI
Dev
Alex
William
Real-time collaboration
Between AI and Humans
Sarah
UI
Proactive AI agents
Product, dev, PO, design
Dev
Product
Alex
We are currently iterating on our first prototype. Initial goal: build the minimum viable end-to-end
ambient AI experience.
Product - Features
Applikai reinvents software development
for the AI era
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 interface continuously regenerates itself,
adapting live 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
Applikai
Leverage AI without losing control
Competition
Building a Category Leader
Viral Adoption Loop
- One canvas across all teams drives company-wide rollout
- Frictionless preview-to-production flow converts every tester into a customer
- Invite any stakeholder → active user in minutes
Exponential Network Advantage
- Public reusable asset library grows with every user
- Agents learn faster & faster from collective interactions
User Lock-in
- All knowledge, context, and custom apps live inside Applikai
- Switching costs become extremely high after the first real application is built
Future-proof by Default
- AI models getting better only improve Applikai
- Compatible with imagination-to-app style of models
- Accumulate data on all aspects of app building
Raising €2.5M pre-seed
18 months runway
Iterate on the product and reach
product-market fit
Hiring 5 team members
Building an 8-person team working in-person in Paris, France
Team 50%
Inference 30%
Growth experiments 20%
Tier-1 team already in place
Hugo Le Picard
AI
PhD in AI and computer vision
Put in prod SOTA image generation and virtual try-ons model
Shipped first worldwide agentic KYC system for banking system (Kulipa)
Shipped first worldwide Singing Voice Model for AirBuds (1.5M DAU, a16z) accepted by US music Majors (Universal)
Strategic advisor for the French government on autonomous weapons, AGI and hardware sovereignty
Maxime Las
AI
Ex Bloomberg: Senior Lead AI
Freelance: Integrate AI agents into existing business
Shipped 30+ AI agents in production
$8M+ in cost savings
Senior Software Engineer in low latency, high reliability system
Antoine Soulier
Dev
Ex-Google (L8)
Worked on Android OS
Wrote the firmware for Apple AirPods competitors that was 50% more power efficient (last 6h instead of 4h for Apple) (and way better on all possible metrics)
FFmpeg contributor
Anonymous
Dev
Ex-Google (L7 - not L8 because too young)
Currently working in a well known French unicorn
Pierre-A Nicolay
Product
Senior Product Lead at Société Générale for customer facing apps, serving 26M+ customers worldwide
Scale multiple projects from 0 to 1M+ users as Senior Product Lead
Community manager and active contributor of Figma France community (Friends of Figma)
MSc in Cognitive Psychology & Human-Centered Design
This pre-seed round will accelerate the right team to ship Applikai.
APPENDIX
Appendix 1
Applikai, not a vibe-coded copycat
- Native runtime (C++23, Metal, Vulkan, WebGL)
- Semantic components: Wireframe, navigation, data model, and business rules.
- Dozens of humans and AI agents to collaborate in real time without the need for “git merge”
- The runtime delivers instant QR-code native previews on real devices
- One click push to App store with 120 FPS performance, sub-100 ms cold starts, and safe over-the-air updates.
- Integrated telemetry and AB testing without any third party in-app integration
Always
Synced
Appendix 2
Lovable
will not compete with Applikai
Core technical mismatch
- Git prevents real-time multi-user editing
- Git blocks coordinated work across dozens of AI agents
- Web-based code foundation eliminates instant mobile previews and over-the-air updates
Lovable's Legacy Inertia
- 8 million+ users and paying customer projects lock the company into its current architecture
- The mutable code base plus every prompt template, diffing agent, and Git tool will stay in place
- LLM orchestration for web codebases will not be replaced
Strategic reality
- Talent, culture, and internal processes are built to ship web apps
- Core engineering team has zero experience building production app engines for cross-platform mobile infrastructure
- $6.6B valuation and $200M ARR (Series B 2025) eliminate any room for a full pivot
Lovable copying Applikai means scrapping its architecture, their GTM, and their valuation while rebuilding from zero in a domain they have no experience in.
Appendix 3
F
i
g
m
a
will not compete with Applikai
Core technical mismatch
- Browser-based design canvas + .fig file format prevents native mobile runtime execution and packaging
- No structured entity system or version control adapted for real-time multi-agent editing
- web-based code foundation eliminates instant mobile previews and over-the-air updates
Figma cannot "just add Al" into its product
- Figma make is a different product from Figma Design because the data model of Figma Design was not built for agentic workflows
- Figma Make and Al features output prototypes. Not a complete mobile app.
- Entire product, plugins, templates, variables, and collaboration features are built around design handoff.
- Existing customer files, team processes, and ecosystem (plugins, Dev Mode, FigJam integration) cannot be discarded
Strategic reality
- Talent, culture, and internal processes are built around design tools, not working applications
- ~$14.5B market cap and~$1.37B revenue guidance for 2026 (post-IPO reset from 2025 peak) leave no room for a radical pivot to own the full app executable stack
Figma attempting to become Applikai would mean abandoning its core identity as the universal design tool, fragmenting its 10M+ designer ecosystem, and diluting the value of every existing fig file.
All to enter a market it has never operated in.