OUR PRODUCTS
Production-grade building blocks for Embedded AI teams.
NeuralSpike Products and Technology reduce deployment risk and speed up delivery. Our model architecture search creates models for real-world edge systems. Our synthetic data framework reduce data collection bottlenecks, and help with edge cases.
WHY NEURALSPIKE PRODUCTS
We don’t start from scratch. That’s the point. NeuralSpike products are ready-to-use building blocks that speed up deployment and reduce risk. Less guesswork. More measurable performance.
WHAT WE DO
Our products
Unique ML
Framework
At the heart of our AI development is our custom ML-Toolbox - a powerful and flexible machine learning framework designed to streamline and optimize model training. Our deep learning framework is built on top of well-established open-source libraries like PyTorch and PyTorch Lightning. By leveraging these robust tools, we ensure reliability and ease of extension, making it simple for developers to build on top of a solid foundation.
Image Generation Framework
Controllable synthetic image generation data is a crucial component in training deep learning models, especially for computer vision tasks, where models rely on large, diverse, and well-annotated datasets to learn visual patterns and make accurate predictions. However, collecting and labeling real-world data is often expensive, time-consuming, and difficult to scale. Annotation requires significant human effort and expertise, particularly when precise labels like segmentation masks or bounding boxes are needed.
Network Architecture Search for AI Models
Our Network Architecture Search (NAS) framework identifies the optimal model architecture for your specific application and hardware environment. By combining automated architecture exploration with integrated benchmarking, the framework streamlines and accelerates the optimization process. The resulting architectures outperform standard models in latency, energy efficiency, and accuracy.
