Making Physical AI Possible
While digital AI thrives on internet data, physical AI starves for real-world data. We solve this by creating the missing data infrastructure that transforms physical environments into intelligent systems.
Physical Data Collection & AI Training Services
Sensor Types Designed
285+
Data Enrichment Rate
10x
Models Trained
127
Project Success Rate
98%
Service Status
Collecting data... Augmenting data... Training ML...
Built with leading open-source machine learning frameworks and tools
TensorFlow
PyTorch
scikit-learn
OpenCV
NumPy
Pandas
End-to-End Physical AI Infrastructure
Complete data-to-intelligence pipeline for the physical world
1. AIoT FOR PHYSICAL DATA COLLECTION
Purpose-built AIoT sensors capture comprehensive physical data in any environment with 285+ data types and real-time edge processing.
2. SYNTHETIC DATA AUGMENTATION
Transform limited real data into unlimited training sets through physics-based simulation and AI generation.
3. ML MODEL TRAINING & DEPLOYMENT SERVICES
Train custom AI models for your specific operations using our physics-aware algorithms and synthetic datasets to build intelligent systems tailored to your industrial requirements.
Bring your entire sensor ecosystem into one place
Capture 285+ distinct physical data types from temperature to complex multi-modal signatures with purpose-built AIoT sensors designed for any environment or industry application.
Learn More →Advanced Sensor Network
Multi-Modal Fusion Sensors
24 Active
Electromagnetic Field Sensors
12 Active
Chemical Composition Analyzers
6 Active
Acoustic Signature Sensors
14 Active
Vibration Pattern Analyzers
16 Active
Optical Flow Sensors
10 Active
Total Data Points/sec
12,847
Edge Processing Nodes
32 Online
AI Model Performance
Predictive Accuracy
97.3%
Anomaly Detection
95.8%
False Positive Rate
2.1%
Processing Speed
< 1ms
Models Deployed
127
Training Data Used
2.4M pts
Train AI models that understand physical reality
Physics-aware machine learning models that go beyond pattern recognition to understand real-world constraints, enabling accurate failure prediction before symptoms appear.
Learn More →Generate unlimited training data from limited real-world samples
Transform scattered sensor readings into comprehensive training datasets through physics-based simulation, enabling robust AI deployment even with minimal historical data.
Learn More →Data Generation Pipeline
Real Data Collection - Historical sensor readings
847 samples
Physics Modeling - Equipment behavior simulation
Active
Synthetic Generation - AI-generated scenarios
8,470 samples
Model Training - Combined dataset training
10x amplified
Deployment - Production ready models
127 models
285+
Physical Data Types
99.7%
Sensor Uptime
10x
Data Amplification
3 Mo
To Production
Start Building Physical AI Today
Ready to transform your physical operations with intelligent systems?
Schedule Technical Deep Dive