Tiger Global Management

Tiger Global Management, founded in 2001 by Charles Coleman, is an investment firm headquartered in New York, with additional offices in Hong Kong, Singapore, Bangalore, and Melbourne. The firm focuses on generating superior risk-adjusted returns for its investors by investing in both public and private markets globally, with particular emphasis on the United States, China, India, Latin America, and Eastern Europe. Tiger Global's investment strategy encompasses a wide range of sectors, including technology, telecom, media, consumer, and industrials. Its approach to private equity involves a ten-year investment horizon, targeting growth-oriented private companies, while its public equity strategy relies on thorough due diligence and identification of long-term secular trends. The firm is committed to principles such as integrity, intellectual honesty, and teamwork, underscoring its focus on long-term value creation.

Andreas Attalides

Investor

Daniel Barzach

Investor

Charlie Better

Investor

Jay Chen

Partner

Grant Ebenger

Investor

Evan Feinberg

Partner

Jordan Gershuny

Partner

Sam Harland

Partner

Kooshul Jhaveri

Investor

Zaahid Khan

Investor

Alex Kimball

Partner

Connie Lee

Partner

Edward Lei

Partner

Amanda Lin

Investor

Gregory Mazlin

Partner

Yue Miao

Senior Associate

Sameer Mittal

Associate

Lisa Rikkers

Partner

Shine Samuel

Associate

Arush Sarwar

Analyst

Griffin Schroeder

Partner

Gideon Shiffman

Partner

Scott Shleifer

Partner

Pius Tan

Associate

Matt Wachter

Investor

Rob Wilson

Analyst

William Winkenwerder

Partner

Yifan Yang

Investor

Jason L.

Investor

Past deals in Image Recognition

RelationalAI

Series B in 2022
Relational Artificial Intelligence

Viz

Series D in 2022
Viz.ai, Inc. specializes in healthcare imaging software designed to enhance stroke care through the use of artificial intelligence. The company's flagship technology synchronizes treatment by reducing delays in patient care, enabling rapid identification of large vessel occlusion (LVO) strokes using advanced deep learning algorithms. Key offerings include Viz LVO, which alerts on-call stroke teams based on CT angiogram images, and Viz CTP, which analyzes CT perfusion images and generates critical parametric data. Additionally, Viz HUB facilitates communication among clinical teams to coordinate care efficiently, while Viz VIEW allows healthcare professionals to view imaging data on mobile devices. Founded in 2016 and headquartered in San Francisco, the company aims to transform healthcare delivery by improving the speed and accessibility of treatment for stroke patients.

Depict

Series A in 2022
Depict.ai develops a product recommendation engine aimed at enhancing the quality of product suggestions for e-commerce stores. By providing advanced recommendation capabilities similar to those found on major platforms, the company enables smaller businesses to compete effectively against larger competitors. The software is designed to increase overall revenue for e-commerce sites without requiring extensive sales data, thereby democratizing access to high-quality recommendations. Through its innovative approach, Depict.ai seeks to empower smaller players in the e-commerce market, allowing them to improve customer engagement and drive sales.

Abacus.AI

Series C in 2021
Abacus.AI is an AI research company that is focused on the hard problems that enterprises have. It allows organizations to plug and play deep learning systems into their existing customer experiences and business processes. The company was founded in 2019 and is based in San Francisco, California.

Kinara

Series B in 2021
Kinara specializes in developing low-power programmable processors, specifically vision processing units designed for computer vision and image processing applications. The company's innovative technology is faster and more energy-efficient than traditional GPU and DSP processing methods, making it suitable for a range of markets, including mobile systems, data centers, and automotive. Kinara's offerings include a comprehensive stack of real-time deep learning software tailored for computer vision, enabling small devices such as drones, robots, and IoT cameras to incorporate embedded computer vision capabilities. Established in 2013 and headquartered in Sunnyvale, California, Kinara aims to enhance the performance of modern computer vision solutions while reducing power consumption.

Kinara

Series B in 2021
Kinara specializes in developing low-power programmable processors, specifically vision processing units designed for computer vision and image processing applications. The company's innovative technology is faster and more energy-efficient than traditional GPU and DSP processing methods, making it suitable for a range of markets, including mobile systems, data centers, and automotive. Kinara's offerings include a comprehensive stack of real-time deep learning software tailored for computer vision, enabling small devices such as drones, robots, and IoT cameras to incorporate embedded computer vision capabilities. Established in 2013 and headquartered in Sunnyvale, California, Kinara aims to enhance the performance of modern computer vision solutions while reducing power consumption.

PathAI

Series C in 2021
PathAI, Inc. develops artificial intelligence-based technology solutions for pathology laboratories. It develops a technology that assists pathologists in making rapid and accurate diagnoses for patients. The company also builds solutions to help identify patients that benefit from novel therapies, to make scalable personalized medicine a reality. PathAI, Inc. was founded in 2016 and is based in Boston, Massachusetts with an additional office in Austin, Texas.

Scale AI

Series E in 2021
Scale AI, Inc. is a data platform that specializes in providing high-quality training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers a range of annotation tools, including platforms for 3D sensor data, images, videos, text, and documents. Its products support various AI tasks such as content moderation, transcription, and data comparison, and are utilized across multiple sectors including autonomous vehicles, retail, conversational AI, and robotics. Scale AI's technology enables companies to streamline their machine learning processes, allowing teams to concentrate on developing innovative models rather than the labor-intensive task of data labeling. The company serves notable clients in the technology and transportation industries, enhancing the efficiency and effectiveness of AI development.

Deepgram

Series B in 2021
Deepgram, Inc. specializes in artificial intelligence-based automatic speech recognition solutions, enabling enterprises to harness their audio data effectively. Founded in 2015 and headquartered in San Francisco, the company provides a platform that allows users to label, train, and deploy custom speech recognition models. This technology is capable of transcribing audio from calls, meetings, and voicemails into searchable notes, ensuring high accuracy and scalability. Deepgram's system utilizes deep learning to search for keywords in transcripts based on both sound and text, making it easier for businesses to extract insights and automate actions from their audio and video content. The platform caters to a diverse clientele, including individual developers and large corporations, by offering an accessible application programming interface that simplifies the integration of speech-to-text capabilities into their operations.

Scale AI

Series D in 2020
Scale AI, Inc. is a data platform that specializes in providing high-quality training and validation data for artificial intelligence applications. Founded in 2016 and based in San Francisco, the company offers a range of annotation tools, including platforms for 3D sensor data, images, videos, text, and documents. Its products support various AI tasks such as content moderation, transcription, and data comparison, and are utilized across multiple sectors including autonomous vehicles, retail, conversational AI, and robotics. Scale AI's technology enables companies to streamline their machine learning processes, allowing teams to concentrate on developing innovative models rather than the labor-intensive task of data labeling. The company serves notable clients in the technology and transportation industries, enhancing the efficiency and effectiveness of AI development.

SenseTime

Series C in 2018
SenseTime is an artificial intelligence company based in Beijing, China, founded in 2014. It specializes in computer vision and deep learning technologies, offering a range of solutions including face and body analysis, image recognition, and video comprehension. The company develops advanced applications for various sectors, such as smart cities, intelligent automobiles, healthcare, finance, and education. Notably, SenseTime's face recognition technology is widely adopted, serving over 300 companies, including major players like China Mobile and Huawei, with an impressive accuracy rate of one error in 100,000. Additionally, SenseTime is engaged in research and development of AI technologies and provides AI software and hardware products across different industries. Its operations extend beyond China to offices in Japan and Singapore, reflecting its commitment to harnessing AI for diverse applications globally.

Cube26

Seed Round in 2015
Cube26 Software Private Limited is a New Delhi-based company specializing in gesture technology that enables devices to recognize users and interpret human gestures and emotions. Founded in 2012 and originally known as PredictGaze, Cube26 has developed innovative solutions such as Blink To Capture, which allows users to take photos by blinking their eyes, and Quicklook, a tool that consolidates social media updates, weather information, and news on a single interface. The company's software is designed to be scalable across multiple platforms, including mobile phones, tablets, PCs, and Smart TVs. As of June 2018, Cube26 operates as a subsidiary of Paytm Mobile Solutions Private Limited.

Nice

Series C in 2014
Nice allows users to add labels, stickers and screens to photos that they share on social networks. It currently has close to 10 million registered users. First launched in October 2013 by a team of fashionistas turned developers, nice soon found a niche of like-minded users who enjoyed tagging their clothes with the app. Touted as "China's Instagram", Nice has become the leading photo sharing app in mainland China. Nice has a very active and young audience and also has steady international growth, with multi-lingual interface options available in its settings.
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