LUC-REALITY™ RaaS Platform
Reality-as-a-Service platform providing ground truth perception data for AI training through integrated multi-modal sensing
Technical Specifications
Performance Metrics
| Processing Capacity | 1M points/sec |
| Annotation Accuracy | >99% |
| Response Time | <100ms |
| Storage Capacity | Unlimited (cloud) |
| Supported Formats | LAS, PLY, PCD, E57 |
| API Latency | < 50ms |
Physical Characteristics
| Deployment Type | Cloud Service |
| Data Transfer | HTTPS/TLS 1.3 |
| Availability | 99.9% SLA |
| Regions | US, EU, Asia |
| Compliance | SOC 2, GDPR |
| Integration | REST API, SDK |
Applications
Ground Truth Data for Embodied AI
LUC-REALITY™ is a Reality-as-a-Service (RaaS) platform that solves the AI training data crisis. By integrating all LUC sensors into a unified cloud platform, we provide the world’s most comprehensive perception dataset—real physics, real complexity, real results. Train your AI on reality, not simulation.
The Sim-to-Real Gap
OpenAI spent $100M on compute but their robots fail in the real world. Why? Simulation isn’t reality. Tesla collected 1B miles of real data and dominates autonomous driving. The pattern is clear: real data wins, but only giants could afford it. Until now.
Technical Specifications
Platform Capabilities
- Data Types: Point clouds, RGBD, velocity, IMU, OCT
- Sensor Fusion: Real-time multi-modal integration
- Data Rate: Up to 10TB/hour raw data
- Processing: Edge AI + cloud pipeline
- Annotation: Auto-labeling with human verification
- Delivery Format: Custom datasets for ML frameworks
- Update Frequency: Continuous streaming or batch
- Storage Options: Cloud, on-premise, hybrid
- API Access: RESTful, GraphQL, streaming
- Compliance: GDPR, CCPA, ISO 27001
Integrated Sensor Suite
- LUC-POINT™: 0.1mm precision ranging @ 100m
- LUC-VISION™: Universal RGBD, all surfaces
- LUC-HORIZON™: 4D LiDAR with instant velocity
- LUC-ANCHOR™: Zero-drift optical gyroscope
- LUC-INSIGHT™: 1-10μm subsurface imaging
Killer Applications
Vision-Language-Action Model Training
Train the next GPT for robotics with real perception data. Not synthetic. Not limited. Real.
Success Metrics:
- 10M hours of human demonstrations
- 100K environments captured globally
- Sim-to-real gap reduced from 60% to 5%
- Deployment time cut from 6 months to 1 week
ROI Impact:
- Data collection: 100x cheaper than manual
- Model performance: 3x improvement
- Time to market: 10x faster
- Edge case coverage: 99.9% vs 60% synthetic
Digital Twin Synchronization
Real-time reality capture for perfect digital twins. Every surface, every material, every movement.
- Challenge: Keeping digital twins synchronized with reality
- Solution: Continuous sensor streaming with 4D data
- Result: <100ms latency, millimeter accuracy
- Value: 50% reduction in downtime through prediction
Technology Comparison
| Feature | LUC-REALITY™ | Synthetic Data | Public Datasets | Manual Collection |
|---|---|---|---|---|
| Real-World Accuracy | 100% real | 60-80% | Limited | Variable |
| Edge Cases | Natural | Must program | Rare | Expensive |
| Cost per TB | $1,000 | $500 | Free-$10K | $50,000 |
| Update Speed | Real-time | Weeks | Never | Months |
| Ground Truth | Physics-based | Simulated | Partial | Human error |
| Velocity Data | Native 4D | Computed | None | If equipped |
Service Tiers
Starter - $5,000/month
- 1TB/month data quota
- Standard annotation
- Cloud delivery
- API access
Professional - $25,000/month
- 10TB/month data quota
- Custom annotation
- Edge processing option
- Priority support
Enterprise - Custom
- Unlimited data
- Custom sensor configuration
- On-premise deployment
- White-label option
Ready to Integrate Our Technology?
Our team is ready to help you implement cutting-edge photonic sensors in your systems.