Fidelity International

Fidelity International, established in 1969, is a privately-owned global investment management firm headquartered in Bermuda. It specializes in providing investment solutions and retirement expertise to a diverse range of clients, including institutions, individuals, and their advisers. The company offers a broad spectrum of services, such as stocks and shares, personal pensions, investment accounts, advice services, wealth management, and workplace pension administration. With over $379 billion in total client assets under management, Fidelity International serves approximately 2.4 million clients across Asia Pacific, Europe, the Middle East, and South America. Its mission is to help clients build better futures for themselves and future generations by offering world-class investment solutions and long-term investment strategies.

Sungjung Kim

Analyst (Blockchain Innovation)

Tony Liu

Director, Private Markets

Nicholas Price,

Portfolio Manager

Joseph Silva

Chief commercial banking officer

Jed Wrigley

Director

Danny Wynn

Director - GPS Record Keeping Platforms

Derek Young

President, Japan

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Past deals in Computer Vision

Runway

Series D in 2025
Runway is an applied AI research company established in 2024, specializing in developing innovative tools that integrate artificial intelligence into creative processes. The company offers a video editing platform designed for professionals in art, entertainment, and design. Its technology leverages original image and video creation methods, allowing users to manipulate and edit content intuitively using text inputs. This approach simplifies the video creation process for artists, designers, and filmmakers, enabling them to express their creativity more effectively. Runway's mission is to enhance human creativity through advanced AI capabilities, facilitating seamless interactions between technology and artistic expression.

Celestial AI

Series C in 2025
Celestial AI is a prominent artificial intelligence company that provides an advanced platform for users to efficiently create images, text, and presentations. Utilizing cutting-edge computer vision algorithms and natural language processing, the platform produces high-quality visual and textual content. Its intuitive design, combined with innovative features, facilitates easy content creation. Moreover, Celestial AI emphasizes intelligent data integration and prioritizes security, ensuring that users achieve impressive and reliable results.

Waymo

Series C in 2024
Waymo is a self-driving technology company dedicated to improving mobility. Established from Google's labs in 2009, Waymo aims to make transportation safer and easier by developing advanced software and sensor technologies. The company achieved the world's first fully self-driven trip on public roads in 2015, using cars without steering wheels or pedals. Today, Waymo continues to refine its technology through extensive simulation testing and real-world driving across multiple cities.

SiMa.ai

Series C in 2024
SiMa.ai is a software-centric, embedded edge machine learning system-on-chip company that develops a complete MLSoC platform combining hardware and software to enable high-performance, low-power machine learning inference on embedded edge devices. The platform supports traditional computing with ML inference, delivers push-button deployment and scaling at the edge, and adapts to various frameworks, networks, models, sensors, and modalities. It targets applications from computer vision to generative AI, offering improvements in performance and energy efficiency while enabling easy integration and secure operation for edge deployments.

Asimov

Series B in 2023
Asimov designs and develops biologics and gene therapies, focusing on mammalian cell engineering and genetic circuit design. The company combines synthetic biology, computer-aided design, and machine learning to accelerate the design and manufacture of biologics, viral vectors, and cell and gene therapies. Its platform integrates biophysical simulations with data-driven models of biology to engineer genetic circuits and optimize production processes. Founded in 2017 and based in Cambridge, Massachusetts, Asimov supports healthcare firms in advancing therapeutic pipelines through software and engineering tooling that bridges biology and computational design.

SiMa.ai

Series B in 2022
SiMa.ai is a software-centric, embedded edge machine learning system-on-chip company that develops a complete MLSoC platform combining hardware and software to enable high-performance, low-power machine learning inference on embedded edge devices. The platform supports traditional computing with ML inference, delivers push-button deployment and scaling at the edge, and adapts to various frameworks, networks, models, sensors, and modalities. It targets applications from computer vision to generative AI, offering improvements in performance and energy efficiency while enabling easy integration and secure operation for edge deployments.

SiMa.ai

Series B in 2022
SiMa.ai is a software-centric, embedded edge machine learning system-on-chip company that develops a complete MLSoC platform combining hardware and software to enable high-performance, low-power machine learning inference on embedded edge devices. The platform supports traditional computing with ML inference, delivers push-button deployment and scaling at the edge, and adapts to various frameworks, networks, models, sensors, and modalities. It targets applications from computer vision to generative AI, offering improvements in performance and energy efficiency while enabling easy integration and secure operation for edge deployments.

Waymo

Private Equity Round in 2021
Waymo is a self-driving technology company dedicated to improving mobility. Established from Google's labs in 2009, Waymo aims to make transportation safer and easier by developing advanced software and sensor technologies. The company achieved the world's first fully self-driven trip on public roads in 2015, using cars without steering wheels or pedals. Today, Waymo continues to refine its technology through extensive simulation testing and real-world driving across multiple cities.

SiMa.ai

Series B in 2021
SiMa.ai is a software-centric, embedded edge machine learning system-on-chip company that develops a complete MLSoC platform combining hardware and software to enable high-performance, low-power machine learning inference on embedded edge devices. The platform supports traditional computing with ML inference, delivers push-button deployment and scaling at the edge, and adapts to various frameworks, networks, models, sensors, and modalities. It targets applications from computer vision to generative AI, offering improvements in performance and energy efficiency while enabling easy integration and secure operation for edge deployments.

Waymo

Venture Round in 2020
Waymo is a self-driving technology company dedicated to improving mobility. Established from Google's labs in 2009, Waymo aims to make transportation safer and easier by developing advanced software and sensor technologies. The company achieved the world's first fully self-driven trip on public roads in 2015, using cars without steering wheels or pedals. Today, Waymo continues to refine its technology through extensive simulation testing and real-world driving across multiple cities.

SenseTime

Series C in 2018
Founded in 2014, SenseTime specializes in artificial intelligence technologies, focusing on computer vision and deep learning. It offers a range of AI solutions including face and body analysis, image recognition, video comprehension, SLAM and 3D Vision, robot sensing, autonomous driving, medical image analysis, and AI supercomputing platforms. Serving sectors such as smart city, mobile, entertainment, automobile, health, business, education, and advertising worldwide, SenseTime operates offices in major cities across Asia.

Mobileye

Private Equity Round in 2013
Mobileye specializes in developing and deploying advanced driver-assistance systems (ADAS) and autonomous driving technologies. The company leverages expertise in computer vision, machine learning, mapping, and data analysis to optimize mobility infrastructure.
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