The Road2 Innovation Center from Haifa has chosen OpTeamizer from Yokneam as the professional body that will build for the participating start-ups the models of artificial intelligence for their applications as part of the activities of the artificial intelligence center for excellence established by Road2 under the auspices of NVIDIA. At the heart of the Innovation Center is NVIDIA’s most powerful computer in the world, the DGX series, equipped with 8 graphics processors that provide 5 processing power petaflops and include Mellanox internal communication for communication between the graphics processors.
Within 3 months since its appointment, Optimizer has provided assistance in developing AI solutions to 4 companies in the program that have developed smart products and services in their field:
Mirror- facial skin care, wrinkle detection, redness and treatment recommendations.
LiteBC – Non-invasive blood count using a device on the lips.
Rapida – Infrastructure monitoring, troubleshooting and industry risks.
Pickey – Managing the collection of products based on “hand vision”, ie hand bracelets equipped with cameras.
Tomer Gal, Founder and CEO of Optimizer: “Developing AI solutions is a unique expertise that most start-ups cannot acquire in the early stages of their life cycle. This requires large resources to recruit top-notch experts and knowledge of how to manage them and integrate them into development. We provide start-ups with the appropriate advice for the development of the required solutions and allow them to focus on the development of the application itself, the interfaces, the business model, etc. The solutions we offer reduce the time it takes to reach the market, upgrade the innovation of the applications and improve the chances of success of the start-ups at the critical stage of their beginning. ”
Eitan Kate, CEO of Road2, added: “We at Road2 promote the entrepreneurial ecosystem in Haifa and the north in a variety of verticals, and in various areas of artificial intelligence in particular. We are very pleased with the collaboration with Optimizer selected as a winner from various companies in the tender process and see that our startup companies enjoy quality, available and creative services, which helps them succeed and develop quickly. ”
Optimizer was founded in 2015 by Tomer Gal, one of Israel’s leading experts in the field of AI, who participated in strategic developments of Intel and GE in Israel. Tomer Gal, who has a master’s degree in computer science in the field of performance acceleration, is one of the testing team of the Innovation Authority’s applications for start-ups for grants in the field of AI, and a lecturer in the Department of Software Engineering at ORT Braude, in an artificial intelligence course.
In 2018, Anvidia appointed Optimizer its first partner in Israel and the Middle East as a company authorized to guide the industry in Israel on accelerating system performance by using Anvidia’s GPU processors, developing artificial intelligence and as a consulting service provider for Israeli companies that began adopting the company’s GPU solutions. To the AI world. Optimizer has recently been appointed as a partner in NVIDIA Jetson Partner for the European market, in addition to the Israeli one, and it will provide development, consulting and training services for developers for the development environments of the new Orin processors.
To date, Optimizer has provided a variety of training and consulting services to more than 90 R&D centers of Israeli companies and multinational companies operating in Israel. Among its customers: defense industry companies, haltech companies and many other high-tech companies. The transition from the world of CPU to the world of GPU, accelerate the performance of new GPU systems, develop algorithms of artificial intelligence and neural networks, optimize neural networks, and select the relevant hardware for implementation.
Optimizer, which currently employs 20 people, trains the developers of R & D’s development tools for the GPU environment with courses such as CUDA Python, CUDA C ++, CUDA for multiple GPU systems, deep learning for computer vision and deep learning for different types of data.