Accel

Accel is a venture capital firm founded in 1983 in Palo Alto, California, that backs early and growth-stage technology startups worldwide. It concentrates on software, cloud, data, mobile, digital media, and adjacent sectors, including consumer and enterprise technology, fintech, security, and healthcare. The firm supports entrepreneurs with long-term guidance and the resources needed to build world-class, category-defining companies. Accel maintains offices in Palo Alto, San Francisco, London, and Bangalore, and has backed a broad portfolio featuring notable companies such as Atlassian, Facebook, Dropbox, Slack, Spotify, and Cloudera.

Pratik Agarwal

Principal

Casey Aylward

Partner

Mahendran Balachandran

Partner

Luca Bocchio

Partner

Philippe Botteri

Partner

Past deals in Image Recognition

Spyne

Series A in 2025
Spyne, founded in 2018 by Sanjay Kumar and Deepti Prasad and headquartered in Gurgaon, is a Deep Tech startup focused on revolutionizing the production of high-quality product images and videos for businesses and marketplaces through artificial intelligence. The company has developed a unique AI platform that automates image processing workflows, allowing businesses to create stunning catalogs without the need for physical studios, thus achieving up to 40% better conversion rates. Spyne's technology enables users to shoot, edit, and publish product visuals at a fraction of the cost and time. With a team of over 100 employees, Spyne serves more than 80 clients, including major players like Amazon India and Flipkart, across various sectors such as automotive, food, and retail in over 15 countries. The company has recently launched Spyne AI – Cars, aimed at the automotive industry, and plans to extend its innovative solutions to e-commerce, fashion, and real estate. Additionally, Spyne is exploring advancements in augmented and virtual reality technologies to develop products for the Metaverse and Omniverse.

Nanonets

Series B in 2024
Nanonets automates document processing and data extraction workflows using AI. It leverages advanced OCR and deep learning models to convert unstructured documents like invoices, receipts, and contracts into structured output. By integrating with existing systems via APIs, Nanonets reduces manual effort by up to 90%, delivering industry-leading accuracy and cost savings of up to 50%.

SigTuple

Series C in 2023
SigTuple develops screening tools that integrate microfluidics, robotics, and cloud computing for smart diagnostic services. It uses AI-powered analysis of visual medical data to enhance disease diagnosis accuracy and efficiency.

Spyne

Series A in 2022
Spyne, founded in 2018 by Sanjay Kumar and Deepti Prasad and headquartered in Gurgaon, is a Deep Tech startup focused on revolutionizing the production of high-quality product images and videos for businesses and marketplaces through artificial intelligence. The company has developed a unique AI platform that automates image processing workflows, allowing businesses to create stunning catalogs without the need for physical studios, thus achieving up to 40% better conversion rates. Spyne's technology enables users to shoot, edit, and publish product visuals at a fraction of the cost and time. With a team of over 100 employees, Spyne serves more than 80 clients, including major players like Amazon India and Flipkart, across various sectors such as automotive, food, and retail in over 15 countries. The company has recently launched Spyne AI – Cars, aimed at the automotive industry, and plans to extend its innovative solutions to e-commerce, fashion, and real estate. Additionally, Spyne is exploring advancements in augmented and virtual reality technologies to develop products for the Metaverse and Omniverse.

Lincode

Venture Round in 2022
Lincode is an AI-driven technology company specializing in advanced machine vision and defect detection for manufacturing. Its platform uses pre-trained models and a no-code interface to deliver real-time quality inspections and defect identification across materials such as plastics, fabric, semiconductors, and metals, supporting applications from visual inspection to reporting and analytics. The system can be deployed on premises with edge AI for low latency processing and integrates with existing machine vision setups to serve automotive, aerospace, electronics, packaging, and related industries. By enabling configurable defect tolerances per defect or camera, it supports both automated and manual inspection workflows, helping manufacturers reduce waste, improve productivity, and lower costs. Lincode was established in 2018 and is based in Menlo Park, California, with an additional office in Bengaluru, India.

Akridata

Series A in 2021
Akridata Inc., established in 2017 and headquartered in Los Altos, California, specializes in developing AI-driven data operations platforms. The company's core business is creating efficient data architecture solutions that manage high-volume data processing for AI applications in the cloud. Akridata's innovative platform enables businesses to automatically filter and prepare raw data from edge sensors, optimizing deep learning model training times and reducing storage costs. Furthermore, Akridata offers cutting-edge computer vision technology tailored for visual inspection in manufacturing sectors, enhancing quality control by detecting defects swiftly and accurately at scale. This allows clients to transition from manual review processes to intelligent automation, improving efficiency and minimizing errors.

SnapCalorie

Seed Round in 2021
SnapCalorie is a mobile application that allows users to take a photo of any meal to receive an accurate calorie count and nutritional information. By leveraging artificial intelligence, the app analyzes the image to calculate calories and provide details on macronutrients such as fat, carbohydrates, and protein. This innovative approach enables users to visually estimate the nutritional content of their meals, making it a convenient tool for individuals aiming to manage their dietary intake effectively.

Nines

Series A in 2019
Nines is a pioneering teleradiology practice that focuses on enhancing patient care through advanced technology. The company develops in-house tools that empower radiologists to provide high-quality diagnostics. Its platform is designed to analyze medical scans for urgent findings that necessitate immediate attention, as well as to identify subtle details that assist in the radiological review process. This innovative approach aims to improve the accuracy of results and overall patient care, setting Nines apart in the field of radiology.

Scale AI

Series C in 2019
Scale AI develops a platform that provides training and validation data for artificial intelligence applications. Its products include advanced annotation tools for images, videos, text, documents, and 3D sensor data, serving sectors such as autonomous vehicles, retail, conversational AI, robotics, AR/VR, and document processing.

SigTuple

Series C in 2019
SigTuple develops screening tools that integrate microfluidics, robotics, and cloud computing for smart diagnostic services. It uses AI-powered analysis of visual medical data to enhance disease diagnosis accuracy and efficiency.

Scale AI

Series B in 2018
Scale AI develops a platform that provides training and validation data for artificial intelligence applications. Its products include advanced annotation tools for images, videos, text, documents, and 3D sensor data, serving sectors such as autonomous vehicles, retail, conversational AI, robotics, AR/VR, and document processing.

SigTuple

Series B in 2018
SigTuple develops screening tools that integrate microfluidics, robotics, and cloud computing for smart diagnostic services. It uses AI-powered analysis of visual medical data to enhance disease diagnosis accuracy and efficiency.

Nines

Seed Round in 2017
Nines is a pioneering teleradiology practice that focuses on enhancing patient care through advanced technology. The company develops in-house tools that empower radiologists to provide high-quality diagnostics. Its platform is designed to analyze medical scans for urgent findings that necessitate immediate attention, as well as to identify subtle details that assist in the radiological review process. This innovative approach aims to improve the accuracy of results and overall patient care, setting Nines apart in the field of radiology.

CallSign

Series A in 2017
CallSign specializes in developing an online transaction platform that pioneers digital trust. Utilizing proprietary technology, it mimics human identification methods, offering high-fidelity AI-based user recognition with minimal friction.

Scale AI

Series A in 2017
Scale AI develops a platform that provides training and validation data for artificial intelligence applications. Its products include advanced annotation tools for images, videos, text, documents, and 3D sensor data, serving sectors such as autonomous vehicles, retail, conversational AI, robotics, AR/VR, and document processing.

Letgo

Series C in 2017
Letgo is a mobile platform founded in 2015, facilitating local buying and selling of second-hand goods. With over 100 million downloads and 400 million listings, it's one of America's most popular apps for trading items, ranging from electronics and vehicles to clothing and furniture. Letgo's innovative features, such as image recognition and instant chat, simplify the process of listing items and connecting buyers and sellers. The platform's user-friendly interface allows users to snap a photo, and letgo automatically suggests a title, price, and category for the listing.

Zeitview

Series A in 2016
Zeitview is an aerial data analytics company specializing in drone services for energy and infrastructure sectors. It uses AI and machine learning to analyze visual data, providing actionable insights that enhance asset performance and longevity. Zeitview serves industries such as solar, wind, property management, telecommunications, and utilities.

Letgo

Series B in 2016
Letgo is a mobile platform founded in 2015, facilitating local buying and selling of second-hand goods. With over 100 million downloads and 400 million listings, it's one of America's most popular apps for trading items, ranging from electronics and vehicles to clothing and furniture. Letgo's innovative features, such as image recognition and instant chat, simplify the process of listing items and connecting buyers and sellers. The platform's user-friendly interface allows users to snap a photo, and letgo automatically suggests a title, price, and category for the listing.

Forus Health

Series B in 2014
Forus Health is an Indian technology company based in Bangalore, founded in 2010 to address global eye-care challenges through innovative products and deployment models that emphasize inclusivity. It operates a full-stack digital ophthalmology platform that delivers end-to-end screening and diagnosis from any location, combining ophthalmic drugs, non-mydriatic imaging devices and other pre-screening diagnostics to improve access and affordability of eye care. The platform includes a cloud-based telemedicine tool that integrates imaging devices, ophthalmologists, optometrists, and artificial intelligence engines to support remote diagnosis and treatment planning, enabling patients to receive care online and offline at a lower cost. Through its solutions, the company aims to expand access to ophthalmology services and drive better outcomes.

Forus Health

Series A in 2012
Forus Health is an Indian technology company based in Bangalore, founded in 2010 to address global eye-care challenges through innovative products and deployment models that emphasize inclusivity. It operates a full-stack digital ophthalmology platform that delivers end-to-end screening and diagnosis from any location, combining ophthalmic drugs, non-mydriatic imaging devices and other pre-screening diagnostics to improve access and affordability of eye care. The platform includes a cloud-based telemedicine tool that integrates imaging devices, ophthalmologists, optometrists, and artificial intelligence engines to support remote diagnosis and treatment planning, enabling patients to receive care online and offline at a lower cost. Through its solutions, the company aims to expand access to ophthalmology services and drive better outcomes.

Nymble

Nymble designs and manufactures smart kitchen appliances for both commercial and residential sectors. Its devices include built-in cameras to monitor food during cooking and use artificial intelligence to control heat with high precision, reducing the risk of burning and delivering consistent results, enabling users to prepare fresh meals more easily.
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