Accel

Accel is a venture capital firm founded in 1983 and based in Palo Alto, California. It specializes in early and growth-stage investments, focusing primarily on technology startups in sectors such as cloud computing, software, digital media, and fintech. With additional offices in San Francisco, London, and Bangalore, Accel employs localized strategies to identify and support entrepreneurs capable of building category-defining businesses. The firm has a notable portfolio featuring companies like Facebook, Spotify, and Slack, reflecting its commitment to fostering innovation across various industries. Accel manages several funds, targeting investments ranging from $5 million to $15 million, and has a robust global presence that includes partnerships in India and China.

Past deals in Image Recognition

Lincode

Venture Round in 2022
Setting the standard for precision in manufacturing. Lincode is an AI-driven technology company specializing in advanced machine vision and defect detection for automotive, aerospace, and industrial manufacturing. Our patent-pending AI platform leverages pre-trained models to solve complex defect detection challenges, reducing data requirements and enabling rapid, high-accuracy deployment. With on-premise edge AI deployments, we ensure real-time, low-latency processing, eliminating reliance on the cloud and enhancing production efficiency. Our solutions seamlessly integrate with existing machine vision systems, cutting costs while improving defect detection—especially for subtle flaws like porosity in automotive components. At Lincode, we deliver scalable, cost-effective AI solutions that redefine quality control, helping manufacturers save time, reduce waste, and improve productivity. Trusted by industry leaders in automotive, aerospace, electronics, or packaging our solutions are proven to deliver results where it matters most—on the factory floor. Our system is built to suite the business requirements well without the need of additional rules or programming. With a few simple to use configurations manufacturers can set their quality tolerances per defect or per camera and work with both automation or non automated inspections seamlessly.

Nines

Seed Round in 2019
Nines is the first-of-its-kind teleradiology practice. Our radiologists and engineers are on a mission to build world-class tools in-house to enable the best radiologists to deliver the best patient care.

Nines

Series A in 2019
Nines is the first-of-its-kind teleradiology practice. Our radiologists and engineers are on a mission to build world-class tools in-house to enable the best radiologists to deliver the best patient care.

Scale AI

Series C in 2019
Scale AI develops a data-oriented platform that provides training and validation data for artificial intelligence applications. The company's LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics teams at companies like Lyft, OpenAI, Zoox, Pinterest, and Airbnb to focus on building differentiated models vs. labeling data.

Centaur Labs

Seed Round in 2019
Centaur offers a platform and services for expert data annotation of medical, scientific, and other data. We provide unmatched accuracy and scale by harnessing the collective intelligence of a global network of tens of thousands of students and professionals who compete with each other to be the best data annotator.

SigTuple

Series C in 2019
SigTuple Technologies Private Limited focusses on developing solutions for the automated analysis of medical images and data to aid diagnosis. It offers a peripheral blood smear analyzer that automates differential counts, as well as provides a screening solution for various parasitic infections (malaria), diseases (anemia), and cancerous cells; radiology solutions; and a screening tool to detect pre-cancerous cells in pap smear slides. The company was founded in 2015 and is based in Bengaluru, India.

Scale AI

Series B in 2018
Scale AI develops a data-oriented platform that provides training and validation data for artificial intelligence applications. The company's LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics teams at companies like Lyft, OpenAI, Zoox, Pinterest, and Airbnb to focus on building differentiated models vs. labeling data.

SigTuple

Series B in 2018
SigTuple Technologies Private Limited focusses on developing solutions for the automated analysis of medical images and data to aid diagnosis. It offers a peripheral blood smear analyzer that automates differential counts, as well as provides a screening solution for various parasitic infections (malaria), diseases (anemia), and cancerous cells; radiology solutions; and a screening tool to detect pre-cancerous cells in pap smear slides. The company was founded in 2015 and is based in Bengaluru, India.

Blue Vision Labs

Series A in 2018
Blue Vision Labs is a collaborative Augmented Reality (AR) company that is enabling the next-generation of AR and robotics. The co-founders met seven years ago as a group of entrepreneurial friends and have grown into a team of engineers and researchers from Oxford, Facebook, Google, and Microsoft. They love building things and have a track of winning top programming competitions, research awards, and working on cutting-edge products in robotics, computer vision, and self-driving cars.

Scale AI

Series A in 2017
Scale AI develops a data-oriented platform that provides training and validation data for artificial intelligence applications. The company's LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics teams at companies like Lyft, OpenAI, Zoox, Pinterest, and Airbnb to focus on building differentiated models vs. labeling data.

Blue Vision Labs

Seed Round in 2016
Blue Vision Labs is a collaborative Augmented Reality (AR) company that is enabling the next-generation of AR and robotics. The co-founders met seven years ago as a group of entrepreneurial friends and have grown into a team of engineers and researchers from Oxford, Facebook, Google, and Microsoft. They love building things and have a track of winning top programming competitions, research awards, and working on cutting-edge products in robotics, computer vision, and self-driving cars.
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