Startup Inspekto raises US $10 million for autonomous machine vision

Startup Inspekto raises US $10 million for autonomous machine vision

Business news |
By eeNews Europe

Blending computer-vision with artificial-intelligence, the startup describes Autonomous Machine Vision as a visual system that allows manufacturers to set-up, install and detect defects in production in minutes, without the help of any external experts or systems integrators. The $10 million injected comes from leading industrial players, as well as expert financial investors, including Grazia Equity, ZFHN, Mahle, Planven, THI Investments and Steinbeis. With its new tools, the company whose valuation post investment is in the region of $60 million claims it will be addressing a yearly total available market exceeding $30 Billion across a broad range of vertical manufacturing sectors, including automotive and electronics.

The funding is for Inspekto’s launch activities of Plug & Inspect technology driving its leading product, the Inspekto S70. During research and development (R&D), Inspekto collaborated with tens of leading DACH manufacturers to ensure the product is perfectly aligned with market needs and requirements.

“Inspekto’s research team aspires to explore and push the boundaries of computer-vision and artificial-intelligence to allow autonomous machine-vision solutions for industrial manufacturers,” commented Yonatan Hyatt, CTO of Inspekto. “Our introduction of zero-friction setup of inspection units throughout entire production lines is bringing factories to peak levels of efficiency and ensuring immediate detection of defects right as they appear in the manufacturing process. The current financing will allow us to further deepen our domain-specific research, alleviating major points of pain in the industrial domain.”

The company will officially launch at VISION 2018 in Stuttgart on November 6, where it will hold live product demonstrations and make its product available for general sale to manufacturing plants worldwide.

Inspekto –

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