Transforming 3D Spatial Intelligence
SceneSage is a decentralized protocol that revolutionizes how 3D spatial data is processed, understood, and monetized.
Decentralized Processing
A distributed network of nodes running the SpatialLM model to process 3D data efficiently and securely.
Token-Based Incentives
The SAGE token aligns incentives among data providers, processors, and consumers in the ecosystem.
Semantic Understanding
Advanced AI that transforms raw point clouds into structured, semantically rich representations.
Our Vision
SceneSage aims to become the global standard for decentralized spatial intelligence, empowering the next generation of immersive digital experiences. Our mission is to democratize the acquisition, processing, and value creation of 3D spatial data through blockchain technology and artificial intelligence.
Use Cases & Applications
SceneSage enables a wide range of applications across industries through advanced 3D spatial intelligence.
Metaverse Development
Enable rapid creation of immersive 3D environments from real-world scans with semantic understanding for interactive elements.
- Automated 3D asset creation from scans
- Semantic tagging for interactive objects
- Real-time environment updates
Autonomous Systems
Provide advanced spatial understanding for robots, drones, and autonomous vehicles to navigate complex environments.
- Enhanced obstacle detection and avoidance
- Semantic scene understanding for decision-making
- Dynamic environment mapping
Smart Infrastructure
Transform building management and urban planning through detailed 3D spatial intelligence and analysis.
- Automated building inspection and maintenance
- Urban planning and simulation
- Energy efficiency optimization
Digital Twins
Create accurate virtual replicas of physical assets with semantic understanding for simulation and optimization.
- Industrial facility monitoring and optimization
- Predictive maintenance through spatial analysis
- Real-time synchronization with physical assets
Showcase
Explore real-world applications and impressive demonstrations of SceneSage's 3D spatial intelligence technology
3D Spatial Understanding Demo
This demonstration showcases how SceneSage processes and understands complex 3D spatial data, transforming raw point clouds into semantically rich representations.
Real-time Processing
Efficiently process large-scale point cloud data
Semantic Segmentation
Precisely identify and classify objects in scenes
Spatial Relationships
Understand positional and interactive relationships between objects
More Case Studies
Our technology has been applied across multiple domains, including:
- Digital twins for architecture and urban planning
- Environmental perception for autonomous vehicles
- Metaverse and AR/VR content creation
- Industrial facility monitoring and optimization
SceneSage Technology
Our breakthrough 3D large language model transforms the way spatial data is processed and understood.
Advanced Transformer Architecture
SceneSage incorporates transformer-based architectures optimized for point cloud data, with multi-modal input processing and hierarchical feature extraction.
Multi-modal Input Processing
Unified representation of various point cloud formats
Hierarchical Feature Extraction
Multi-scale analysis preserving both local and global context
Attention Mechanisms
Self-attention across spatial dimensions for contextual understanding
Transfer Learning
Knowledge transfer from large-scale pre-training on diverse 3D datasets
SAGE Token Economics
The SAGE token serves as the core utility and governance token within the SceneSage ecosystem.
Token Utility
Service Access
Payment for processing, storage, and advanced features
Staking
Security deposits for node operation and service quality assurance
Governance
Voting rights on protocol upgrades and parameters
Rewards
Distribution to contributors and ecosystem participants
Token Distribution
Total Supply: 1,000,000,000 SAGE
Value Accrual Mechanisms
SAGE token value is supported by multiple mechanisms designed to ensure long-term sustainability.
Burning Mechanism
30% of protocol fees are used for token buyback and burning
Staking Requirements
Nodes must stake tokens, reducing circulating supply
Utility Growth
Expanding ecosystem increases token utility and demand
Fee Sharing
Token holders earn a share of protocol revenue through staking
Development Roadmap
Our strategic plan for building and scaling the SceneSage protocol.
Foundation Phase
Q2 2025 - Q3 2025
- SpatialLM core model development
- Protocol architecture design
- Initial testnet deployment
- Developer documentation
Growth Phase
Q4 2025 - Q1 2026
- Mainnet launch
- SAGE token generation event
- Node network expansion
- Initial marketplace features
- Strategic partnerships
Expansion Phase
Q2 2026 - Q4 2026
- Advanced model capabilities
- Cross-chain integration
- Enterprise adoption program
- Governance transition to DAO
- Developer grants program
Maturity Phase
2027 and beyond
- Full protocol decentralization
- Industry standard establishment
- Global node network
- Advanced marketplace features
- Ecosystem fund for startups