SPATIAL.AI
Geospatial intelligence from visual data
We teach machines to understand space — without GPS or lidars. Geospatial AI for logistics, robotics, and smart infrastructure. All you need is an ordinary camera — on a phone, drone, or robot.
The indoor navigation Challenge
Indoor navigation remains an unsolved problem in the logistics and robotics industry despite technological advances:
GPS Limitations
Satellite signals can't penetrate building structures, making traditional navigation systems useless indoors
Expensive Hardware
Lidars and radars require specialized, costly equipment and complex integration
Navigation Failures
Robots and couriers struggle to navigate in dynamic or unfamiliar environments
Financial Impact
Warehouses and logistics centers lose millions of euros due to inefficient search and movement operations
Our Solution: Vision-Based Spatial Intelligence
SPATIAL.AI is an artificial intelligence system that creates 3D spatial models, determines location, and recognizes objects using only camera imagery.
Hardware-independent
Operates without GPS, lidars, or other specialized sensors
Universal compatibility
Works with any camera — smartphone, tablet, drone, or robot
Real-time mapping
Continuously updates environmental maps in real-time as conditions change
Product Architecture
Our modular system provides comprehensive spatial intelligence capabilities through four integrated components:
Visual Positioning System (VPS)
Determines precise location using only visual data, enabling navigation without GPS
Video-Based 3D Reconstruction
Creates detailed spatial models from standard video feeds in real-time
Object Recognition & Classification
Identifies and categorizes objects within the environment for intelligent interactions
Integration API/SDK
Seamlessly connects with warehouse systems, AR applications, and robotics platforms
Use Case: intelligent warehouse navigation
1
Visual Orientation
Robot equipped with an ordinary camera identifies its position within the facility
2
Object Recognition
System locates the required item among thousands of similar objects
3
Optimal Routing
AI constructs the most efficient path, accounting for obstacles and traffic
4
Real-Time Updates
Visual data continuously updates the warehouse map, adapting to changes
No expensive equipment or infrastructure modifications required
Market Opportunity
€17B+
TAM
Global indoor logistics and navigation market (2025)
$6B+
SAM
Indoor logistics and navigation market in the EU (2024)
80%
of European warehouses still operate without automation
Market drivers
Rising Demand
Increasing need for autonomous systems and robotized logistics solutions
Technology Gaps
Limitations of GPS and high costs of alternative navigation systems
Digital Transformation
France's active investment in logistics digital transformation initiatives
Technology Stack
Proprietary Visual Positioning System (VPS)
Our VPS provides centimeter-level accuracy without traditional navigation tools
Custom AI Models
Machine learning algorithms trained on our proprietary spatial datasets for superior performance
Industry Adaptation
Specialized configurations for logistics, retail, emergency services, and other sectors
Scalable Infrastructure
Cloud-based system accessible for external integrators and partners through our SDK
Founding Team
Yury Podorozhnyy
CTO
Founder of Artichoke Labs and former Head of Yandex.Maps. Expert in geospatial technology with proven track record in large-scale mapping solutions.
Roman Shimanskiy
CPO & Marketing Director
Former CEO of Yango Play with extensive experience launching services in the MENA region. Product strategy and market expansion specialist.
Vadim Marchuk
CEO
Ex-COO of Nebius with over $10 billion in transactions and deep tech company scaling experience. Strategic vision and business development leader.
Market entry strategy
1
Initial Market
France as our strategic launch market, leveraging its leadership in logistics innovation
2
Pilot Project
Partnership with a logistics operator or warehouse facility for initial implementation
3
MVP Deployment
Roll out in 1-2 locations (Paris, Lyon) to validate and refine the technology
4
Data Collection
Build proprietary geospatial datasets and train industry-specific models
5
SDK Release
Market entry with software development kit for partners and integrators
Redefining spatial intelligence
with SPATIAL.AI
Email: spatial.france@gmail.com