This article showcases our top picks for the best Israel based Artificial Intelligence companies. These startups and companies are taking a variety of approaches to innovating the Artificial Intelligence industry, but are all exceptional companies well worth a follow. We tried to pick companies across the size spectrum from cutting edge startups to established brands. Aidoc specializes in developing artificial intelligence tools for radiologists. UVeye develops automated inspection systems for vehicles using AI and proprietary hardware.
While it might not be the first example that comes to mind when thinking of AI applications, AI systems are increasingly being used in the manufacturing sector. In industrial factories and warehouses, AI has the potential to improve equipment efficiency and production yields as well as uptime and consistency. According to a 2021 survey from The Manufacturer, 65% of leaders in the manufacturing sector are working to pilot AI. Implementation in warehouses alone is expected to hit a 57.2% compound annual growth rate over the next five years. Many barriers stand in the way of successful AI manufacturing deployments, however.
Learn more about what comes next. Palo Alto, California-based Landing AI, the AI startup led by Andrew Ng -- the cofounder of Google Brain, one of Google's AI research divisions -- today announced that it raised $57 million in a series A funding round led by McRock Capital. In addition, Insight Partners, Taiwania Capital, Canadian Pension Plan Investment Board, Intel Capital, Samsung Catalyst Fund, Far Eastern Group's DRIVE Catalyst, Walsin Lihwa, and AI Fund participated, bringing Landing AI's total raised to around $100 million. The increased use of AI in manufacturing is dovetailing with the broader corporate sector's embrace of digitization. According to Google Cloud, 76% of manufacturing companies turned to data and analytics, cloud, and AI technologies due to the pandemic.
WIRE)--WekaIO (Weka), the innovation leader in high-performance, scalable file storage for data-intensive applications, today announced that Innoviz, a leading manufacturer of high-performance, solid-state Light Detection and Ranging (LiDAR) sensors and Perception Software that enables the mass-production of autonomous vehicles, has selected the Weka File System (WekaFS) to accelerate its Artificial Intelligence (AI) and deep learning workflows. WekaFS has been chosen by Innoviz to improve application performance at scale and deliver high bandwidth I/O to its GPU cluster. Innoviz's solid-state LiDAR sensors are key to the future of autonomous cars. The sensors and Perception Software, which identifies, classifies, segments, and tracks objects to give autonomous vehicles a better understanding of the 3D driving scene, rely heavily on AI. Having recently closed its Series C funding round with $170M secured, Innoviz is choosing and developing the right technologies to empower it to realize its expansion plans and enhance its manufacturing capabilities.
IDC recently released a report, "IDC FutureScape: Worldwide Manufacturing Predictions 2018," surveying the global manufacturing landscape. When creating its predictions the firm examined ecosystems and experiences, greater intelligence in operational assets and processes, data capitalization, the convergence of information technology (IT) and operations. Most of the group's predictions refer to a continuum of change and digital transformation (DX) within the wider ecosystem of the manufacturing industry and global economy.