🧠 AI Lifecycle: Ground Truth → Trusted AI
🛰️ Large language models are brilliant storytellers, but without grounded data they improvise. Satellite intelligence provides the untampered, verifiable source of truth that makes GenAI systems produce beautiful and trustworthy simulations, reliable for real-world decisions.
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Satellite Intelligence → AI Lifecycle → Trusted Systems
🎯 Training & Data Generation
Create high-quality training datasets and reward models using satellite ground truth for superior GenAI development.
🤖 Synthetic Data Generation
Generate realistic training datasets using 64-band LBVM spectral signatures for computer vision and multimodal AI models.
🔬 Cross-validation Framework
Cross-validate LLM embeddings against physics-based satellite measurements for robust model evaluation.
📊 Fine-tuning Supervision
Create domain-specific fine-tuning datasets with satellite supervision signals for specialized AI applications.
🎯 RLHF & Active Learning
Use satellite data for reward modeling, preference learning, and real-time feedback in reinforcement learning from human feedback workflows.
🎯 Reward Signal Generation
Generate physics-based reward signals for RLHF training using satellite measurements as objective ground truth for preference alignment.
🔄 Preference Learning
Learn human preferences by comparing model outputs against satellite-verified reality, enabling continuous improvement through feedback loops.
📊 Active Learning
Identify model uncertainties and knowledge gaps using satellite verification, then generate targeted training examples for continuous learning.
🚀 Post-Training & Deployment
Verify and enhance deployed AI systems with real-time satellite feedback for continuous model improvement and hallucination prevention.
🚨 Real-time Verification
Detect hallucinations in deployed models by cross-referencing outputs with live satellite data for immediate correction and confidence scoring.
📈 Performance Monitoring
Track model performance drift and degradation using satellite benchmarks, triggering retraining when accuracy thresholds are crossed.
🔄 Continual Learning
Enable continual learning in production using streaming satellite data as supervision signal for model adaptation without catastrophic forgetting.
LBVM Use Case Demonstrations
Real-time demonstrations of Large Bio Vision Model APIs with electromagnetic resonance physics and quantum mechanics analysis.
Spatial Intelligence Analysis
Analyze spatial patterns and relationships in urban areas using LBVM spectral analysis
Urban Change Detection
Detect changes in urban development over time using temporal analysis
Advanced Geocoding
Forward and reverse geocoding with spatial hierarchy analysis
Reverse Geocoding
Convert coordinates to human-readable addresses with spatial hierarchy analysis
Terrain Analysis
Terrain point and surface analysis with physics-based calculations
Terrain Surface Analysis
Get elevation data for an area with configurable resolution
AI Fact Verification
Verify AI-generated facts against satellite ground truth using LBVM embeddings
Earth Engine Integration
GPU-accelerated Earth Engine RGB embeddings with customizable band assignments
See It In Action
The same untampered satellite intelligence available through memories.dev APIs powers Vortx.ai with mind-blowing synthesis quality. Stream this data into AI memory for beautiful and trustworthy simulations.
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LBVM Satellite Intelligence Platform
True Color
Natural color visualization (B4/B3/B2)R: B4 • G: B3 • B: B2Layer Opacity: 80%
Layers
Tools:
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