Best Hardware-Aware AI Optimization Companies

Run:ai builds a virtualization layer for artificial intelligence (AI) workloads. It helps companies execute AI initiatives while controlling budgets by virtualizing expensive hardware resources to pool, share, and allocate resources. It offers solutions such as graphics processing unit (GPU) optimization, cluster management, artificial intelligence, machine learning workflow management, and more. The company was founded in 2018 and is based in Tel Aviv, Israel. In April 2024, Run:ai was acquired by NVIDIA at a valuation of $700M.

Nota AI specializes in artificial intelligence model optimization and software solutions within the technology sector. The company offers a proprietary platform, NetsPresso, which automates the development of lightweight AI models and optimizes them for specific hardware, aiming to enhance performance on edge devices. Its technology is applied in various sectors, including intelligent transportation, security, and healthcare, providing solutions such as driver monitoring systems and smart access control. The company was founded in 2015 and is based in Daejeon, South Korea.

Edge Impulse offers machine learning tooling for edge devices within the Artificial intelligence (AI) technology sector. It provides a platform for building datasets, training models, and optimizing algorithms to run on a variety of hardware, from microcontrollers to neural accelerators. Edge Impulse primarily serves industries that require edge AI solutions, such as healthcare, industrial monitoring, and smart infrastructure. It was founded in 2019 and is based in San Jose, California. In March 2025, Edge Impulse was acquired by Qualcomm.

CentML offers an optimization platform for ML training. It focuses on artificial intelligence and machine learning in the technology sector. The company offers an optimization platform for machine-learning training, which allows users to train and deploy own machine-learning models. CentML was founded in 2022 and is based in Toronto, Canada. In June 2025, CentML was acquired by NVIDIA at a valuation of $400M.

Deci provides an end-to-end deep-learning acceleration platform. It allows artificial intelligence (AI) developers to build and optimize models for any environment including cloud, edge, and mobile, allowing them to transform industries. The company was founded in 2019 and is based in Ramat Gan, Israel. In April 2024, Deci was acquired by NVIDIA.

Deeplite specializes in artificial intelligence technology within the deep learning optimization sector. The company offers Neutrino, an artificial intelligence-driven optimizer that helps in the deployment of deep learning systems for production by making them for real-time, large-scale, and resource-limited environments. It primarily serves the technology sector. The company was founded in 2019 and is based in Toronto, Canada. In April 2025, Deeplite was acquired by STMicroelectronics.

Embedl provides solutions for AI deployment in embedded systems within the automotive, defense, and robotics sectors. The company's offerings include the Embedl Model Optimization SDK, which focuses on deep learning model deployment by addressing memory usage and energy consumption. Embedl serves sectors that require AI products, including the automotive, IoT, and aerospace industries. It was founded in 2018 and is based in Gothenburg, Sweden.

Latent AI focuses on enterprise AI platforms for edge devices across various sectors. The company provides a developer platform for deploying AI on edge devices such as drones, cameras, and robots, which may assist in the market readiness for AI projects. Latent AI serves government and commercial organizations that seek to integrate AI into their operations. It was founded in 2018 and is based in Princeton, New Jersey..

Numenta operates within the AI and computing technology sectors and focuses on neuroscience-based principles. It offers an AI platform designed for deep learning performance on CPUs, which seeks to enhance the functionality of large AI models while addressing power consumption. Numenta participates in the Thousand Brains Project, an open-source initiative exploring AI paradigms inspired by the human brain's neocortical structure. It was founded in 2005 and is based in Redwood City, California.