SAIPS
World-class provider of customized algorithmic solutions in the fields of computer vision and machine learning.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor | €0.0 | round | |
| N/A | $12.5m | Growth Equity VC | |
| Total Funding | 000k | ||
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SAIPS, an acronym for Signal Analysis and Image Processing Solutions, was established in 2013 by Udi Danino, Rotem Littman, and Noga Zieber Bullkich. The company specializes in the design and implementation of algorithmic engines founded on deep neural networks and deep learning. Initially, SAIPS developed algorithmic solutions for a broad range of computer vision challenges across various sectors, including aerospace, medical, mobile, and retail. Its technology addresses areas such as detection, tracking, image enhancement, pattern recognition, and 3D modeling.
A significant turning point for the company occurred in August 2016 when it was acquired by Ford Motor Company for an undisclosed amount, reported to be in the tens of millions of dollars. This acquisition marked Ford's first in Israel and was a strategic move to bolster its in-house expertise in artificial intelligence and computer vision for the development of autonomous vehicles. Following the acquisition, SAIPS became an independent entity within Ford, focusing its expertise on the automotive giant's goal of launching a fully autonomous vehicle fleet. The company plays a crucial role in developing real-time algorithms that enable self-driving cars to perceive and understand their environment, handle challenging road scenarios, and utilize highly detailed 3D maps for navigation.
The founders brought together a strong technical background. Udi Danino, who served as CEO, came from a modest background and pursued a degree in Electronic Engineering and Computer Science. Rotem Littman acted as CTO, and Noga Zieber Bullkich was the US Branch Manager. The company was bootstrapped, having not raised any external funding before its acquisition. Post-acquisition, SAIPS continued to expand its role within Ford, receiving a $12.5 million investment in 2018 to establish a new unit focused on designing the decision-making systems for autonomous vehicles.
Keywords: computer vision, machine learning, deep learning, autonomous vehicles, algorithmic engines, artificial intelligence, signal processing, image processing, automotive technology, ADAS, self-driving cars, neural networks, 3D mapping, object detection, pattern recognition, Ford, data fusion, sensor technology, ride-hailing technology, vehicle automation