SAIPS
Customized Algorithmic Solutions in Computer Vision and Machine Learning
Company Overview
Snapshot
Founded in January 2013 by Udy Danino, Rotem Littman, and Noga Zieber, SAIPS operates with 11–50 employees. The company was acquired by Ford Motor in August 2016, marking a significant milestone in its trajectory.
Business overview
SAIPS specializes in designing, developing, and implementing algorithmic engines leveraging deep neural networks. The company offers several algorithmic suites that address computer vision challenges, including detection, tracking, image enhancement, registration, segmentation, pattern recognition, 3D modeling, and video intelligence. SAIPS serves a diverse clientele across aerospace, medical, semiconductor, mobile, sports, gaming, and retail industries, operating within the Business Software sector.
Strategic signal
In November 2018, Ford announced a $12.5 million investment to boost SAIPS, its Israeli computer vision subsidiary. This investment signals Ford's continued commitment to advancing autonomous vehicle technology and integrating SAIPS's machine learning and computer vision expertise into its future product development, highlighting the strategic value of the acquisition.
Log in to access full profile ›Company Intelligence Q&A
- When was SAIPS acquired?
- SAIPS was acquired by Ford Motor in August 2016.
- What was the strategic rationale behind Ford's acquisition of SAIPS?
- Ford acquired SAIPS in August 2016 to integrate its machine learning and computer vision technologies, particularly for self-driving applications, into Ford's autonomous vehicle development efforts.
- What was a notable investment in SAIPS after its acquisition?
- In November 2018, Ford announced a $12.5 million investment to further develop SAIPS, its Israeli computer vision subsidiary.
- Who are the founders of SAIPS?
- SAIPS was founded by Udy Danino, Rotem Littman, and Noga Zieber.
- What core technologies does SAIPS specialize in?
- SAIPS specializes in computer vision and machine learning, developing algorithmic engines based on deep neural networks for various applications including detection, tracking, and image enhancement.