From raw data to production-ready edge models. Train, compress, and deploy AI models
Upload your dataset and we'll train, optimize, and compress models for edge deployment
Drop your dataset here or click to browse
Supports .csv, .json, images, text files, audio files
From raw data to production deployment - we handle the entire AI-to-edge pipeline
Complete Training Pipeline
Upload your dataset and we'll train, fine-tune, and optimize custom models for edge deployment
Advanced Optimization Engine
Upload trained models and compress them using state-of-the-art techniques for maximum efficiency
Continuous Edge Intelligence
Automated fine-tuning, deployment, and monitoring pipeline with continuous optimization
State-of-the-art model optimization including our proprietary equation simplification engine
Convert FP32 to INT8/FP16 for 4-8x size reduction with minimal accuracy loss
Remove entire channels/layers while maintaining model architecture
Train compact student models from larger teacher models
Mathematical optimization requiring only math library - no framework dependencies
Merge multiple operations into single optimized kernels
Group similar weights to reduce memory footprint
Our proprietary technique converts neural networks into pure mathematical equations, requiring only a math library for inference - no AI framework dependencies!
Only math library required
Additional size reduction
Mathematically exact
Real-world compression results on popular models
| Model | Original Size | Compressed | Ratio | Accuracy | Inference Speed | Technique |
|---|---|---|---|---|---|---|
| ResNet-50 | 102.5 MB | 8.2 MB | 12.5x | 99.3% | 45ms → 12ms | Quantization + Pruning + Equation Simplification |
| MobileNet v2 | 14.2 MB | 1.1 MB | 12.9x | 99.1% | 23ms → 6ms | Distillation + .txt export |
| BERT-Base | 438 MB | 28.7 MB | 15.3x | 99.2% | 180ms → 35ms | Quantization + Operator Fusion |
| YOLOv5s | 28.7 MB | 2.4 MB | 12.0x | 99.4% | 67ms → 18ms | Pruning + Weight Clustering |
Deploy optimized AI models across diverse edge computing environments
Deploy CNNs/RNNs on microcontrollers with <1MB flash memory
Real-time AI inference on smartphones without cloud dependency
Deploy models on edge servers and industrial computers
Run AI models in vehicle control units for autonomous features
Choose the plan that fits your edge AI deployment needs
Perfect for individual developers and small projects
For teams and production deployments
Full-scale production with MLOps pipeline
All plans include 14-day free trial • No setup fees • Cancel anytime