Road2 Innovation Center has selected OpTeamizer to assist startups working from its NVIDIA-supported Innovation Center with developing artificial intelligence (AI) applications. As part of the collaboration, OpTeamizer will support and work with these startups providing them with application development support and providing guidance on leveraging the center’s NVIDIA DGX system.
Shortly after its appointment, OpTeamizer already had a positive impact, supporting several companies with the effective use of AI in their products and solutions. These include:
- Mirrori – offers a disruptive technology, harmonizing human wisdom with AI for personalized skincare planning and advisory, beauty advisory, and training.
- LiteBC – develops non-invasive, repeatable, and safe blood analysis in traditional and non-traditional clinical settings (point-of-care).
- Rapida – reshapes how the traditional infrastructure industry operates with the automation of inspection and monitoring processes, creating structures and 3D digital twins through real-time data processing by integrating sensor fusion, AI, and big data.
- Pickey – a breakthrough AI smart wristband “hand vision” technology that revolutionizes manual picking of goods in logistic centers and groceries.
Eitan Kyiet, CEO of Road2 says: “We at Road2 promote the entrepreneurial ecosystem in a variety of verticals, and in various areas of artificial intelligence. We are very pleased with the cooperation with OpTeamizer which was selected as the winner from various companies in the tender process and see that our startup companies enjoy quality and professional services, which helps them to succeed and develop quickly.”
Tomer Gal, founder and CEO of OpTeamizer adds: “Developing AI-led solutions requires a unique set of expertise that a startup often doesn’t have access to and can’t afford at the early stages of product development. This is where our team fits in, advising and guiding startups on how to incorporate AI into their applications and ensure they focus on developing industry-relevant apps, interfaces, and business models. The companies we assist benefit from a greatly accelerated time to market, spending more time focusing on innovation and improving their chances of success in the critical early stages of business development.”
OpTeamizer was founded in 2015 by Tomer Gal, one of Israel’s leading AI experts, who participated in strategic developments at Intel Israel and General Electric Israel. Tomer, an M.Sc. in Computer Science in software optimization, is also a member of the Israel Innovation Authority, which evaluates grant applications by AI startups. He is also a lecturer in AI at the software engineering department of ORT Braude College of Engineering and NVIDIA certified lecturer for CUDA and Deep Learning.
In 2018, NVIDIA appointed OpTeamizer as its first service delivery partner in Israel and the Middle East. Following a successful and fruitful partnership, OpTeamizer is today accredited to train the industry on using NVIDIA’s GPU processors to accelerate system performance and perform AI development. The company is also a consulting services provider for companies that adopt GPU solutions when entering the world of AI.
Prior to its appointment at Road2, OpTeamizer has enjoyed significant success, providing a range of training and consultation services to the R&D centers of over 90 Israeli companies and multinationals operating in the country. Its customers include defense systems, healthcare, inspection systems, and other hi-tech companies. Tomer and his team help companies migrate from legacy CPU to the massively powerful GPU technology, accelerate the performance of new GPU systems, develop AI and neural network models, optimize neural networks, and select the relevant hardware for deployment.
OpTeamizer currently employs 20 developers who focus on training developers at the R&D centers of organizations on NVIDIA’s development tools for the GPU environment. It also offers courses on CUDA C++, CUDA Python, CUDA for multiple GPUs, deep learning for computer vision, and deep learning for numerous data types.