Build Real 3D AI Systems.
Ship Them to Production.
7 production systems. From raw point clouds to deployed applications. Results from your first session. Full production capability in under 30 days.
I’ve spent 15 years building 3D AI systems for industry. I’ve packed everything
Here’s what I keep seeing. Engineers copy-paste from ChatGPT and get something that looks right on a toy dataset. Then they try it on a real scan with 200 million noisy points, occlusions, and mixed coordinate systems. It falls apart. Every time.
AI can write code. That’s not the bottleneck anymore. The bottleneck is understanding what to build, why, and how to make it survive contact with real-world data. Papers drop weekly. 3D Gaussian Splatting. Foundation models for point clouds. SAM lifted to 3D. AI can help you implement any of them. But it can’t tell you which one solves your actual problem.
Companies don’t need more people who can prompt an LLM. They need architects who understand the full pipeline from sensor to deployment. People who know why RANSAC fails on curved surfaces, when to reach for a neural approach vs. a classical one, and how to ship a working system, not a notebook.
AI tutorials teach you to copy code. University courses take 4 years. Commercial software locks you into licenses that cost more than your salary. There’s no fast path from “I understand the concept” to “here’s my deployed system.”
I’ve watched smart engineers spend months clicking through GUIs they don’t understand. Tools that cost their company thousands per year. Updates that never fix their specific problem. And when the tool doesn’t support their use case? They wait. They file tickets. They fall behind.
And when your company already uses Trimble, Cyclone, or ArcGIS? You don’t replace them. You extend them. Inject your own intelligence into their pipeline. Make the expensive tools actually smart. That’s what an architect does.
From Following Along
To Shipping Production Systems
The 3D AI Architect Program is a 19-episode production system built around 6 core disciplines:
3D Data Foundations
Load, inspect, and understand any 3D dataset — LAS, LAZ, PLY, E57, PCD, GLB. Know what you’re working with before writing a single line.
3D Processing & Segmentation
Clean, downsample, segment, cluster. RANSAC, region growing, DBSCAN, Euclidean clustering — every method, when and why.
Machine Learning & Intelligent Labeling
Train classifiers on geometric features. Build a human-in-the-loop annotation tool. Construct scene graphs to query 3D space.
3D Reconstruction & Neural Rendering
From drone photos to dense point clouds (COLMAP, DAv3). Train Gaussian Splats. Classical vs. neural, side by side.
Spatial AI & Foundation Models
Zero-shot classification (SAM + CLIP). Build an autonomous agent. Assemble a digital twin with VLM-powered object identification.
Production & Deployment
Package into 5 standalone .exe tools that run on any machine. No Python needed. Ship to clients.
Every episode has one deliverable. Not a quiz. Not a certificate. A working system that runs on real data. You can show it to a client, a hiring manager, or use it in production tomorrow.
20+ standalone courses + 3D AI Architect ebook. Lifetime access.
Intelligence-driven R&D platform. Bring intelligence to any point cloud. 100% Python.
Curated positions + fast-moving markets needing 3D AI.
Connect, share work, get feedback. Async-first.
Production-tested Python. Copy, adapt, ship. Updated monthly.
4 agents: pipeline generator, data quality, code review, paper analyst.
80+ hours of specialization across 4 mastery paths.
R&D consulting, software dev, tech advisory. Members only.
1h onboarding + annual strategy call. Career roadmap, priorities.
CV review, enterprise referral network, personal endorsement.
The Path to Success
“I’ve trained surveyors who never wrote a line of code and PhD researchers who’d never touched a real scanner. Both built production systems. The difference isn’t talent or background. It’s having the right progression: build foundations, implement from scratch, test on real data, deploy. That’s what I’ve spent 15 years refining.”
Practical First
Every concept is taught through real-
world applications and hands-on
projects
Community Driven
Learning happens best in a supportive
community of peers and mentors
Continuously Updated
Content evolves with the rapidly
changing 3D technology landscape
The B2D Framework™
After training thousands of professionals, I found the exact sequence that works. It’s not about spending
Build Foundations
Start with the math and theory. But not academic proofs. Just enough to understand what you're building. Point cloud geometry. 3D transformations. Neural architectures.
Implement from Scratch
Build the algorithms yourself. Line by line. No black boxes. No "just use this library." When you write PointNet++ from zero, you actually understand it.
Apply to Real Data
Take your implementation. Apply it to industry datasets. Handle edge cases. Debug failures. Optimize performance. This is where learning becomes mastery.
Ship to Production
Package it. Deploy it. Make it accessible. Turn Jupyter notebooks into FastAPI services. Build web interfaces. Create something you can show clients.
Get Production-Ready Tools
Complete boilerplate repositories. Copy-paste starter code. Interactive software for parameter tuning. Everything you need to ship fast.
Add to Portfolio
Every system becomes a portfolio piece. Deployed demo. GitHub repo. Case study. By day 90, you have 7 projects that prove you can ship.
Most courses stop at theory. Some get to implementation. Almost none teach deployment. The B2D framework takes you all the way: from “I’m curious about this” to “here’s my deployed system processing real data.” That’s why our students ship faster than anyone else.
From Zero to Production in Under 30 Days
Students land six-figure roles. Others charge consulting rates they never thought possible. Some build products generating recurring revenue. Spatial AI expertise is the skill that AI can’t automate, because it requires understanding physical reality, not just patterns in text.
3D Gaussian Splatting. NeRF. KPConv. PointNet++. Vision Transformers for 3D. You’ll read papers and implement them from scratch. Not copy a GitHub repo and hope it works. Actually understand every layer, every loss function, every design decision. Then use AI to accelerate your implementation while knowing exactly what it’s doing.
7 Complete Production Systems
Each system is self-contained. The Spatial Accelerator track gets you through the core in days, not months. Full B2D progression. Production deployment
You don’t need all 7 systems to get value. Pick the ones that match your goals. But if you want complete authority in spatial AI? Complete all 7. You’ll understand the field deeper than 99% of practitioners, and you’ll be able to leverage AI tools from a position of real understanding, not blind trust.
Point cloud to mesh. Scan to BIM. Scan to CAD. Professional modelling software.
What Others Built After the Free Sprint
Real results from people who started exactly where you are.
Researcher
Technical University of Madrid
ML Engineer
PropTech Startup
Civil Engineer → Spatial AI Lead
Architect Spatial Intelligence.
The Brain-to-Deploy methodology. From first principles to production-grade 3D AI.
Master the core 3D AI stack. For innovators building a strategic edge in spatial intelligence.
- Spatial Accelerator (17 Episodes) The 17-episode deep-dive on the Brain-to-Deploy methodology. From mental models to shipped production systems.
- Full 3D Course Library (20+ Courses) The complete curriculum. Point clouds, meshing, segmentation, deep learning 3D, spatial reasoning.
- Neurones 3D Software Suite The software suite I built to unify 3D reconstruction, segmentation, and spatial analysis in one stack. Standard commercial license included.
- Monthly Spatial AI Nuggets A monthly briefing on what moved in 3D AI. Research, code, and market signals I think you should know.
- Private Job & Market Intelligence
Scale from prototype to industrial-grade deployment. For founders architecting proprietary spatial systems.
- Everything in Foundation
- 4 OS Deep-Dive Production Tracks Complete tracks: Spatial Reconstructor, Segmentor, Deep Learning 3D, and more. Each ships with 12 months of active updates and support, with optional annual renewal. Each track valued at €1,497.
- 5 Forge .exe Apps + AI Agent Toolkit Five ready-to-run Windows apps plus the AI agent toolkit. Run 3D AI pipelines without touching infrastructure code.
- 12-Month Strategic Production Briefs Every month I spot a real market opportunity and hand you the full step-by-step blueprint to build it. Twelve briefs, twelve shipped tools or software over the year.
- Monthly Live Q&A Sessions Monthly live calls. Ask anything technical or strategic and get a direct answer from me.
Elite 1-on-1 advisory. I personally review your architecture and deliver custom Brain-to-Deploy blueprints.
- Everything in Professional
- Onboarding + Annual Strategy Sessions A kickoff session to map your system, plus recurring strategy calls where I pressure-test your architecture and roadmap.
- Private 48h Priority Channel A direct line to me for architecture reviews and technical unblocks. Guaranteed response within 48h on business days.
- Co-Built Custom 3D AI Solution Not built for you, but with you. I code alongside you to architect and ship a custom 3D AI solution for your specific use case.
- Portfolio & Project Endorsement
Why 3D AI Architects Are Irreplaceable
We're entering the spatial AI era. Here's what that means for you.
Your phone has LiDAR. Apple Vision Pro scans rooms in real-time. Tesla trains on billions of 3D points. The physical world is being digitized, and every industry needs people who can make sense of that data.
Every car needs 3D perception. 100M vehicles by 2030.
Vision Pro is just the start. Spatial apps need spatial AI.
The demand is real. The people who can deliver are rare.
I get emails from companies every week asking: “Do you know anyone who can actually build this?” Not someone who watched a tutorial. Someone who can take a raw scan and turn it into a working, deployed system. They’ll pay well for that skill because it directly impacts their bottom line.
But honestly? It’s not about the money. It’s about building things that matter. Autonomous vehicles that save lives. AR systems that help surgeons. Digital twins that catch structural failures before buildings collapse. That’s what gets me out of bed, and that’s what I want to help you build.
So here's the real question:
Do you keep competing with millions of developers on 2D tasks that AI is rapidly automating?
Or do you become one of the people who can build the spatial AI systems that the next decade runs on?
The window is open. The skills you build here compound every year as spatial computing grows.
Find Your Perfect Fit
From free exploration to enterprise transformation.
| Feature | Free Experience | Cherry Pick (Library) | Foundation (€1,497) | Professional (€2,497) ★ | Architect (€3,997) | Enterprise (Custom) |
|---|---|---|---|---|---|---|
| Spatial Accelerator | Act I only (Ep 0–3) | ✕ | All 19 episodes | All 19 episodes | All 19 episodes | All 19 + custom content |
| Course Library + OS Tracks | ✕ | Pick any (from €99) | All 20+ included | All 20+ included | All 20+ included | All + custom modules |
| 3D AI Architect Ebook | First chapters | ✕ | ✓ Full | ✓ Full | ✓ Full | ✓ Full |
| Neurones 3D | ✕ | ✕ | Standard license | Full license | Full license | Full + team licenses |
| Code Templates & AI Agents | Starter only | Snippets only | Starter only | 50+ production + 4 AI agents | 50+ production + 4 AI agents | Production + custom agents |
| Monthly Drops (Briefing, Briefs, Templates) | ✕ | ✕ | Briefing only | Briefing + briefs + templates | Briefing + briefs + templ. | Briefing + custom briefs |
| Forge .exe Apps | ✕ | ✕ | ✕ | ✓ 5 apps | ✓ 5 apps | ✓ 5 + custom |
| Spatialetics Community | ✕ | ✕ | ✓ Access | ✓ Priority | ✓ VIP Private | ✓ Team channel |
| Job & Market Board | ✕ | ✕ | ✓ | ✓ | ✓ | ✓ |
| Sprint Slots (1-on-1 Florent) | ✕ | ✕ | ✕ | ✕ | 4 / year (w/ Florent) | Dedicated weekly |
| Services Access (R&D, software) | ✕ | ✕ | ✕ | ✓ R&D, consulting | ✓ Priority access | ✓ On-site integrated |
| Onboarding + Strategy Calls | ✕ | ✕ | ✕ | ✕ | ✓ 1h + 1h per year | ✓ Team onboarding |
| Private Channel | ✕ | ✕ | ✕ | ✕ | ✓ 48h response | ✓ Dedicated |
| Certificate | ✕ | ✕ | Completion | Professional | Architect | Team certs |
| Renewal (monthly content) | ✕ | Per course | €697/yr (fdg: €497) | €697/yr (fdg: €497) | €497/yr (always) | €497/yr (always) |
Everything You Need to Know
Do I need a PhD?
No. You need intermediate Python and basic 3D knowledge (point clouds, meshes). If you can write a for-loop and know what a point cloud is, you’re ready. I’ve trained surveyors with zero coding background and PhD researchers. Both succeed.
How is this different?
Three things. First, it’s 100% focused on 3D spatial data, not generic computer vision repackaged for point clouds. Second, you build everything from scratch. No black boxes. You understand every line. Third, production deployment is included. Real systems, not notebooks that only work on clean demo datasets. And in 2026, there’s a fourth: I show you how to use AI tools from a position of understanding, so they accelerate your work instead of replacing your thinking.
How long does it take to complete the Program?
The Spatial Accelerator gets you building from day one. Each system’s main track is 15-20 hours. Students using the accelerator path complete their first production system in under a week. Full program completion is realistic in 3-4 weeks at a focused pace. Lifetime access means you can go at your own speed. No pressure, no expiration.
Can I use this commercially?
Yes. Full commercial license. Use all code in products, consulting, or internal systems. Only restriction: can’t resell the course as training material.
What hardware needed?
Most systems run on laptops (16GB RAM minimum, 32GB recommended). For deep learning, you’ll want a GPU—but free Colab/Kaggle work fine for training. No $10K workstation needed.
What if I get stuck?
Complete documentation. Private community. Monthly office hours. Email support. Average response under 24 hours.
Refund policy?
90-day money-back guarantee. Go through the material, apply it to your data. If you don’t get real, measurable results after actually doing the work, email me for a full refund. I don’t want your money if you don’t get value. Simple as that.
Why trust you?
I’ve done the full journey: Field LiDAR engineer → PhD in Spatial Sciences → Professor → Director of Innovation at FrenchTech 120 → Startup Founder. Author of “3D Data Science with Python” (O’Reilly, 687 pages). Trained 2,847 professionals. I know what works.
Have Questions?
Team Training
Custom programs.
