INITIALIZING SPATIAL OS // 2026
3D Geodata Academy
FOUNDING PRICE ENDS: 00d 00h 00m 00s
A Letter from Florent Poux, Ph.D.

THE INDUSTRY MOVED.
DID YOU?

Six months ago, "process this point cloud" was enough. Today, your clients are asking for autonomous agents, spatial RAG, and AI-powered digital twins. The gap between where you are and where the industry needs you is growing every week.

I built SpatialOS because I watched brilliant engineers — people with PhDs, 10+ years of experience — get passed over for projects because they couldn't build complete autonomous systems. This is the curriculum I wish existed when I made my own leap.

The Hard Truth

YOU'RE NOT BEHIND.
THE GAME CHANGED.

You've taken courses. You can process point clouds with Python. You can segment, classify, and reconstruct.

But your clients aren't asking for processed point clouds anymore.

They're asking: "Can I talk to my building?"

They want spatial agents that answer questions about their facility. They want autonomous pipelines that detect changes without human intervention. They want LLM-powered digital twins that their team can query in natural language.

And the gap between "I can process point clouds" and "I can build autonomous spatial systems" isn't something you close with YouTube tutorials or ChatGPT. It requires a complete system — from data to graphs to agents to deployment.

That's the gap SpatialOS was engineered to close. Not by teaching you more tools — but by giving you the complete operating system for building autonomous spatial intelligence.

The Paradigm Shift

MY VISION 2030

"We are at a glorious crossroad. The days of manual point cloud processing are fading. The future belongs to those who can engineer Autonomous Systems. I built this curriculum not just to teach you Python, but to give you the keys to the engine room of the Spatial Web."

— Florent Poux, Ph.D.

No Black Box

Own 100% of the Source Code. No API dependency. No vendor lock-in. You control the intelligence.

Evolutivity

A modular architecture designed to integrate tomorrow's LLMs and Sensors seamlessly.

Market ROI

The industry demands Autonomous Digital Twins. Be the one who builds them.

Smart Point Cloud
FIG 1.0: SMART POINT CLOUD
The Deliverable

BUILT SOFTWARE

You will build and deploy a production-ready 3D AI Agent Application with a full Chat Interface.

Imagine handing your client a URL where they can chat with their facility. "Show me the damaged pipes." "Calculate the volume of room B." The agent responds visually and analytically. This is what you will build.

3D AI Agent App
FIG 2.0: AUTONOMOUS AGENT INTERFACE
The 2026 Ecosystem

SPATIAL OS

Not just a course. An Operating System for your career.
Autonomous Agents. LLM Workflows. Impact-Driven Engineering.

Core Modules (5)
📄 Download Syllabus
Module 01
3D Data for AI
Preparing our System, Environment and 3D Query Engine
  • Architecture Environment and Setup
  • Point Cloud Processing Engine
  • Multi-Modal Data Integration
  • Spatial Indexing & Query Engine
Module 02
Graph Intelligence
Structuring point clouds, scene graphs, feature vectors for LLM consumption
  • Graph Construction from Point Clouds
  • Unsupervised Scene Segmentation
  • Semantic Enhancement with Foundation Models
  • Relationship Extraction & Scene Graph Assembly
Module 03
Agent Architecture
Building autonomous agents with tool use, memory, and spatial reasoning
  • LLM Integration Layer (LangChain)
  • From Chat to Agents
  • Scoping the Use Case and Planning
  • File System Middleware
Module 04
3D Scene Interaction
Modifying a Scene, orchestration, and real-world case studies
  • Transformation Tool
  • Agent State and Todo List
  • Prompt Engineering
  • Natural Language Scene Understanding
Module 05
Production Systems
Deploying spatial AI pipelines, APIs, and integration patterns
  • Streamlit Chat Application
  • Streaming and Verbosity
  • Point Cloud Viewer
  • HITL – Human Approval Workflows
  • Deployment to Streamlit Cloud
🎁 Exclusive Bonuses (3)
Bonus 01
Code Files (+ Commercial License)
Production-ready code, agent templates and pipelines
Bonus 02
3D AI Software (+ Source Code / Doc)
Get a production-ready software, and customize it
Bonus 03
Advanced DLC Access
Get new DLC Access upon Release (E.g. AI-assisted scene design)
20+
Hours of Content
5
Packaged Deliverables
24/7
Community Discord Access
0.001%
Expert Only
How You'll Master This

THE EXPERIENCE

A battle-tested learning system engineered over 10+ years of teaching MS.C, Ph.D students, engineers, researchers, and professionals.

01

The B2D Platform

Build-to-Deploy (B2D) is the pedagogy I developed from a decade of mentoring experts. Every lesson follows a proven structure:

  • › Concept → Implementation → Deployment
  • › HD video lessons with live coding
  • › Automatic progress tracking
  • › Downloadable resources & handouts
Learning Dashboard
02

Production Assets

No black boxes. No API keys. You own everything. We hand you the complete tech stack:

  • › Full Python codebase (5 modules + DLCs)
  • › Production datasets (Point Clouds, Scene Graphs)
  • › Environment configs (One-click setup)
  • › Commercial license for client work
Deliverables
🔓
Zero Dependencies
Everything runs locally or on your cloud infrastructure. No vendor lock-in. You control the entire stack.
Founding Member Offer

CHOOSE YOUR SYSTEM

Spatial OS
€1,497
Founding Price — Locks in permanently
  • Spatial OS: Full Lifetime Access
  • 5 Core Modules + 3 DLC Bonuses
  • Complete Python Codebase + 3D Assets
  • Production-Ready AI Software (Source Code)
  • Commercial License for Client Work
  • Group Mentoring Sessions (2026)
  • All Future Updates Included
Get Spatial OS
Content Availability
Full course content ready Q1 2026 • Order now to lock in founding price
14-Day
Money-Back Guarantee
Lifetime
Access to Content
2,500+
Students Educated
Secure
Payment Processing
Let's Be Honest

I KNOW WHAT YOU'RE THINKING

"I DON'T HAVE TIME FOR ANOTHER COURSE."

This isn't another course you'll start and abandon. It's an operating system with a clear 12-week roadmap. My students invest 6-10 hours per week — less than the time most engineers lose debugging fragmented knowledge from scattered tutorials.

The question isn't "Do I have time?" It's "Can I afford not to invest these hours while the industry reshapes around me?"

"€1,497 / €2,997 IS A LOT OF MONEY."

Compared to what? A university semester costs €5,000-15,000 for theory. Corporate training runs €1,500 per person, per day — three days and you've already exceeded the Innovation Stack. And trial-and-error? That's 6-12 months of your salary while you figure it out alone.

One freelance project with these skills: €5,000-15,000. One corporate training contract: €15,000-50,000. Salary increase from Spatial AI specialization: €10,000-30,000/year. Breakeven is your first project.

"WHAT IF IT DOESN'T WORK FOR ME?"

Then you get every penny back. 14-day money-back guarantee. No questions asked. And you keep everything you've downloaded.

Why am I confident? Because this is the exact system I used to go from field engineer to PhD to Professor to Innovation Director to O'Reilly Author. Same principles. Same architecture. Proven across 2,500+ students.

"WHY CAN'T I JUST USE CHATGPT TO LEARN THIS?"

ChatGPT will give you code that runs. It won't teach you when deep learning fails and classical methods win. It won't show you how to validate quality in production. It won't explain why your pipeline works on test data but breaks on real-world scans.

That's judgment. That's system design. That's what separates architects from prompt engineers. Use AI to accelerate implementation. Use SpatialOS to develop the judgment AI can't replicate.

"THE CONTENT ISN'T FULLY READY YET."

Correct — full content is ready Q1 2026. That's exactly why the founding price exists. You're locking in the lowest price this program will ever have, with lifetime access to every future update, module, and DLC I release.

Early students shape the curriculum. Your feedback directly influences what I build. That's a feature, not a bug.

From the Community

WHAT STUDENTS SAY

2,500+ professionals across 42 countries. Here's what some of them shared.

"Florent's courses transformed how I approach 3D data projects. Within 3 months, I went from basic point cloud processing to leading my company's spatial AI initiative. The code templates alone saved me weeks of development time."

M
Marcus R.
Construction Technology Specialist

"The depth of content is unmatched. I've taken courses on Udemy, Coursera — nothing comes close to the practical, production-ready approach Florent delivers. My PhD research accelerated by months thanks to the techniques and code I learned here."

S
Dr. Sarah C.
Postdoctoral Researcher, Computer Vision

"I used to spend days on tasks that now take hours. The 3D Segmentor OS gave me a complete framework I use on every project. I landed a €25K consulting contract within weeks of finishing the course."

L
Laurent D.
Geospatial Consultant, France

"What separates Florent from every other instructor is that he's actually built production systems. The code works. The architectures are real. The support is genuine. This isn't theory — it's a playbook for building things that matter."

A
Ana K.
Robotics Engineer, Germany
Your Instructor

WHY FLORENT

Dr. Florent Poux
Dr. Florent Poux
Ph.D. in Spatial Sciences
O'Reilly Media
3D Data Science with Python
687 pages · April 2025

Most instructors teach from one angle. Florent built the complete pipeline — from field operations to spatial AI breakthroughs, from startup founding to million-euro funding, from research publications to industry deployment.

🎓
Academic Authority
Ph.D. in Spatial Sciences · PostDoc in Computer Graphics · Professor in Spatial AI · Jack Dungeman Prize for advancing 3D Spatial AI
🏗
Industry Proven
Started as LiDAR Field Engineer · Land Surveyor · Director of Innovation for FrenchTech 120 · R&D Director for cutting-edge spatial technology firms
🚀
Entrepreneur & Tech Leader
Founded companies · Secured millions in startup funding · Built production systems deployed across construction, robotics, and geospatial industries
📚
Thought Leader
Author of "3D Data Science with Python" (O'Reilly, 687 pages) · 35+ technical articles (millions of reads) · 2,500+ students educated in 42 countries

"I don't teach what I read in papers. I teach what I used to win contracts, secure funding, publish research, and build companies. SpatialOS is the operating system I wish I had when I started."

Common Questions

QUICK ANSWERS

Do I need advanced programming skills?

Basic Python knowledge is sufficient (if/else, loops, functions, lists). Everything else — from LangChain to scene graphs to Streamlit deployment — is taught from first principles with step-by-step code walkthroughs.

How long does it take to complete?

Following the structured roadmap at 6-10 hours per week, expect 8-12 weeks to complete the core modules. You have lifetime access, so work at your pace. Some students finish faster; others take their time with the DLC bonuses.

Can I access the content immediately?

Full course content is rolling out Q1 2026. Founding members lock in the lowest price and get immediate access to available modules, with new content delivered as it's released. You also get all future updates at no extra cost.

What software/hardware do I need?

Windows, Mac, or Linux with 16GB+ RAM recommended. All tools are open-source or free-tier: Python, Open3D, LangChain, Streamlit, and more. No paid software licenses required. Everything runs locally — no cloud dependencies.

Can my company purchase this for our team?

Yes. Corporate packages with team licenses, completion reporting, and custom invoicing are available. Book a strategy call to discuss your team's needs.

What's the refund policy?

14-day money-back guarantee. If you're not satisfied for any reason, request a full refund within 14 days — no questions asked, keep all downloaded materials.

Do you offer payment plans?

Payment plan options can be discussed. Book a quick call and we'll find the right arrangement.

Decision Time

TECHNICIAN
OR ARCHITECT?

You've read this far. That tells me something about you.

You're not satisfied with scattered skills. You want complete systems. You want to build things that matter — autonomous agents, spatial digital twins, production-ready AI pipelines.

The spatial AI landscape won't wait. Six months ago, most engineers hadn't heard of spatial RAG. Today, it's becoming a client requirement. The window for early movers is closing.

Path A: Wait

Keep collecting random tutorials. Hope the pieces connect eventually. Watch colleagues get the projects you wanted.

Path B: Build

Master complete autonomous systems in 12 weeks. Deploy production-ready spatial AI. Become the architect your industry needs.

Spatial OS · €1,497 Innovation Stack · €2,997
✓ 14-Day Money-Back Guarantee ✓ Lifetime Access ✓ Immediate Access ✓ Secure Payment

Still deciding? Book a 15-minute strategy call — no pressure, just clarity on whether SpatialOS is right for your situation.

☕ Book a Strategy Call