About KRYTA
KRYTA is a leading online resource dedicated to TinyML, Edge AI, and microcontroller-based machine learning. Founded in 2025, our mission is to make embedded artificial intelligence accessible to developers, engineers, and hobbyists worldwide.
Our Mission
We believe that the future of AI is not just in the cloud, but at the edge. Billions of devices around the world, from smart sensors to wearable health monitors, can benefit from on-device machine learning. KRYTA exists to bridge the gap between cutting-edge ML research and practical embedded deployment.
What We Cover
Our content spans the full spectrum of TinyML and Edge AI development:
- TinyML Fundamentals: Core concepts, architecture, and development workflows for beginners and experienced developers alike
- ESP32 Machine Learning: Complete tutorials for running AI models on ESP32 microcontrollers, including image recognition, voice detection, and sensor fusion
- Arduino TinyML: Step-by-step guides for deploying neural networks on Arduino platforms including the Nano 33 BLE Sense
- Edge AI Applications: Real-world use cases in smart agriculture, industrial monitoring, healthcare wearables, and smart cities
- Model Optimization: Quantization, pruning, compression, and other techniques to fit ML models on resource-constrained devices
- Sensor Integration: Working with accelerometers, microphones, cameras, environmental sensors, and fusion techniques
- Hardware Reviews: In-depth comparisons of development boards, AI accelerators, and edge computing platforms
- Developer Guides: End-to-end workflows from data collection to production deployment
Our Team
KRYTA articles are written by a diverse team of embedded systems engineers, ML researchers, hardware designers, and IoT architects. Each author brings hands-on experience from real-world TinyML deployments across industries including agriculture, healthcare, automotive, and industrial automation.
Our Commitment to Quality
Every article on KRYTA is thoroughly researched and technically verified. Our code examples are tested on actual hardware, and our tutorials include detailed explanations of the engineering tradeoffs involved. We aim to provide content that goes beyond surface-level introductions to deliver the deep technical understanding you need for production deployments.
Contact Us
We love hearing from our readers. Whether you have a question about a tutorial, want to suggest a topic, or are interested in contributing, reach out to us at contact@kryta.shop.