Ceremorphic has built an architecture that delivers the performance required for applications such as AI model training, HPC, drug discovery, and metaverse processing. Designed in tune with advanced silicon geometry, its architecture solves high-performance computing needs in reliability, security, and power consumption at scale.

SiMa.ai enables high-performance machine learning to go green. The company delivers the highest frames per second per watt solution to its customers accelerating the proliferation of high-performance machine learning inference at very low power in embedded edge applications.

Corerain Technologies provides AI acceleration solutions to embedding frontend, edge, and backend AI devices. Based on streaming architecture, CAISA provides chip peak performance for deployed AI inference applications. On top of CAISA, Corerain provides a C-like and easy-to-use complication toolchain - RainBuilder for CAISA architecture. The CAISA architecture supports seamless migration of mainstream deep learning algorithms developed under TensorFlow, Caffe, ONNX, and other open-source frameworks, without directly programming for the CAISA architecture.

Graphcore is a Bristol, UK-based AI chipmaker specializing in Intelligence Processing Unit (IPU) products specifically designed for artificial intelligence.

Parallel Domain’s data generation platform allows the user to configure and generate high fidelity data through simple API requests. Through the company's work with the automotive industry’s perception, research, and simulation teams, it has developed a nuanced understanding of what makes for great synthetic data and simulation environments.

Mindtech is the developer of an end-to-end synthetic data creation platform for the training of AI vision systems. The company’s Chameleon platform is a change in the way AI vision systems are trained, helping computers understand and predict human interactions in applications ranging across retail, smart home, healthcare, and smart city.