The image recognition AI industry focuses on developing advanced algorithms that empower machines to interpret visual data. Companies create systems that can recognize and categorize images, facilitating applications in fields like healthcare, security, retail, and marketing. This technology is reshaping industries by automating processes, uncovering insights, and enhancing user experiences. Trends suggest a continuous growth trajectory, with increasing integration of AI into consumer-facing products. As the demand for automation rises, image recognition capabilities are likely to evolve, emphasizing efficiency and accuracy while fostering innovation and open-source collaboration amidst competition.

This list features 26 companies specializing in image recognition AI, varying significantly in size and expertise. The firms range from startups with fewer than ten employees, like DejaVuAI, to larger operations with thousands, such as iMerit Technology. Headquarters are found across countries, notably in the US, India, and Bulgaria. Established from 2007 to 2024, these companies offer innovative solutions including data annotation, predictive analytics, and automated moderation, pushing the boundaries of AI’s capabilities in diverse industries.

Read on to learn more about top image recognition AI companies.

Top 26 Image Recognition AI Companies

1. Clarifai

• Website: clarifai.com
• Ownership type: Venture Capital
• Headquarters: Wilmington, Delaware, United States (USA)
• Employee distribution: United States (USA) 61%, India 28%, Estonia 9%, Other 3%
• Latest funding: Series C, $60.0M, October 2021
• Founded year: 2013
• Headcount: 51-200
• LinkedIn: clarifai

Clarifai, founded in 2013 and based in Wilmington, Delaware, is an AI technology company that specializes in computer vision. The firm provides a comprehensive platform that enables businesses to build and deploy AI solutions efficiently. Their offerings include automated data labeling, content moderation, and visual inspection, which are critical for image recognition applications. Clarifai has received significant funding, with a Series C round totaling $60 million in October 2021, which underscores investor confidence in their technology and market potential. The company serves a variety of industries, helping organizations enhance their operational capabilities through advanced AI technologies. With a workforce distributed across the United States, India, Estonia, and Canada, Clarifai is positioned to leverage global talent in the AI field.

2. iMerit Technology

• Website: imerit.net
• Ownership type: Venture Capital
• Headquarters: San Jose, California, United States (USA)
• Employee distribution: India 91%, United States (USA) 6%, Other 3%
• Latest funding: $12.8M, November 2021
• Founded year: 2012
• Headcount: 1001-5000
• LinkedIn: imerit

iMerit Technology, founded in 2012 and based in San Jose, California, is an AI solutions provider that specializes in data annotation and model evaluation services. The company serves a variety of sectors, including healthcare, technology, and agriculture, offering tailored solutions such as the Radiology Annotation Product Suite and generative AI services. With a workforce primarily located in India, iMerit leverages a global talent pool to ensure high-quality data for machine learning applications. The company has successfully annotated over 250 million images and videos, showcasing its extensive experience in the field. iMerit has also received significant funding, with a reported amount of $12.8 million in November 2021, indicating investor confidence in its business model and growth potential. Their operations are designed to support the development of AI technologies, particularly in image recognition, by providing the necessary labeled data that fuels machine learning models.

3. Imagga

• Website: imagga.com
• Ownership type: Venture Capital
• Headquarters: Sofia, Sofia City, Bulgaria
• Employee distribution: Bulgaria 100%
• Latest funding: Seed, January 2015
• Founded year: 2011
• Headcount: 11-50
• LinkedIn: imagga

Imagga Technologies, based in Sofia, Bulgaria, specializes in image recognition solutions. Established in 2011, the company offers a range of APIs designed for tagging, categorization, cropping, color extraction, and visual search. These services cater to businesses across multiple sectors, including media, retail, and technology, helping clients manage visual content more effectively. Imagga's technology enhances user engagement and streamlines the process of organizing and discovering images. The company has been recognized for its innovative contributions to the image analytics market, notably being named an innovator by IDC in 2016. With a dedicated team and a focus on advanced AI capabilities, Imagga continues to support over 30,000 startups, developers, and businesses worldwide, showcasing its relevance and commitment to the image recognition industry.

4. Incubit Inc.

• Website: incubit.co.jp
• Ownership type: Private
• Headquarters: Shibuya City, Tokyo, Japan
• Employee distribution: Japan 100%
• Founded year: 2014
• Headcount: 11-50
• LinkedIn: incubit-inc.

Incubit Inc., founded in 2014 and based in Shibuya City, Tokyo, is a private technology consulting company that specializes in artificial intelligence solutions. With a team of 11 to 50 employees, Incubit focuses on providing advanced services in deep learning, image recognition, and data analysis. Their offerings include the Mitou Solution Service, which aims to tackle previously unsolvable challenges using cutting-edge technology, and the Incubit for Seeds program, designed to foster innovation and collaboration across various industries. Incubit has developed a proprietary image recognition engine, the IncuVision Engine, which is tailored to specific use cases, allowing for high-precision recognition of various objects and people in images and videos. Their projects span multiple sectors, including healthcare, where they have successfully implemented AI for tasks such as automating ultrasound report generation. This involvement highlights their commitment to applying AI technology in practical and impactful ways.

5. DejaVuAI

• Website: dejavuai.com
• Ownership type: Private
• Headquarters: Olalla, Washington, United States (USA)
• Employee distribution: United States (USA) 100%
• Founded year: 2020
• Headcount: 1-10
• LinkedIn: 1st1-technologies-llp

DejaVuAI Inc., based in Olalla, Washington, is a private technology firm founded in 2020. The company specializes in advanced image recognition and pattern matching solutions, offering products such as Photon and PAC-ID. These products are designed to serve various industries, including security, retail, and logistics. DejaVuAI's technology stands out for its ability to accurately match images even when they have been heavily altered, such as being rotated or cropped. This capability is particularly valuable in sectors where precise identification is crucial, such as in security and brand protection. The company has also engaged in partnerships and collaborations to enhance its offerings, indicating an active involvement in the industry. Despite being a relatively small firm with a limited number of employees, DejaVuAI's innovative approach and targeted solutions make it a noteworthy player in the image recognition AI market.

6. Mad Street Den

• Website: madstreetden.com
• Ownership type: Corporate
• Headquarters: Redwood City, California, United States (USA)
• Employee distribution: India 92%, United States (USA) 7%
• Latest funding: $15.0M, March 2025
• Founded year: 2016
• Headcount: 201-500
• LinkedIn: mad-street-den

Mad Street Den is a technology firm based in Redwood City, California, founded in 2016. The company focuses on artificial intelligence and computer vision, primarily serving the retail sector through its flagship product, Vue.ai. This platform utilizes image and video recognition to enhance retail automation, helping businesses improve productivity and adapt to market demands. With a global presence and a workforce that includes a significant number of employees in India, Mad Street Den has attracted notable investment, securing approximately $30 million in funding from prominent investors like Sequoia Capital. The company is actively expanding its offerings into various industries, including healthcare and finance, while maintaining a strong commitment to making AI accessible and actionable for businesses worldwide.

7. OpenCV.ai

• Website: opencv.ai
• Ownership type: Private
• Headquarters: Palo Alto, California, United States (USA)
• Employee distribution: Cyprus 61%, India 13%, Germany 13%, Other 13%
• Founded year: 2020
• Headcount: 51-200
• LinkedIn: opencv-ai

OpenCV.ai, founded in 2020 and based in Palo Alto, California, is a technology company that specializes in artificial intelligence and computer vision solutions. The firm is comprised of the core team behind OpenCV, the most popular open-source computer vision library, which boasts millions of downloads and is utilized by major tech companies and institutions worldwide. OpenCV.ai offers a range of services, including AI software development, consulting, and tailored algorithms for applications such as object detection, tracking, and intelligent video analysis. Their expertise is sought after by clients in various sectors, including medicine, manufacturing, and sports, as they strive to enhance products and services with advanced AI capabilities. The company has not reported any funding to date, indicating a self-sustained operational model as they continue to innovate in the AI space.

8. Roboflow

• Website: roboflow.com
• Ownership type: Venture Capital
• Headquarters: United States (USA)
• Employee distribution: United States (USA) 92%, Netherlands 3%, India 3%, Other 3%
• Latest funding: Series B, $40.0M, November 2024
• Founded year: 2019
• Headcount: 51-200
• LinkedIn: roboflow-ai

Roboflow is a technology company based in the United States, specializing in computer vision solutions. Founded in 2019, the company has developed a suite of products that cater to the needs of businesses and organizations seeking to leverage artificial intelligence for image recognition tasks. Their platform offers open-source datasets, pre-trained models, and AI-assisted data annotation tools, enabling users to efficiently create and deploy computer vision applications. Roboflow serves a variety of industries, including healthcare, automotive, and retail, helping clients enhance their operations and decision-making processes through advanced image recognition capabilities. The company has also attracted significant investment, securing $40 million in a Series B funding round in November 2024, which underscores its growth trajectory and commitment to innovation in the field of AI.

9. Wovenware a Maxar Company

• Website: wovenware.com
• Ownership type: Corporate
• Headquarters: United States (USA)
• Latest funding: November 2022
• Founded year: 2003
• Headcount: 51-200
• LinkedIn: wovenware

Wovenware a Maxar Company, founded in 2003, is a technology solutions provider based in the United States. The company specializes in artificial intelligence, software development, and computer vision. Wovenware offers a range of services that include predictive analytics, machine learning, and digital transformation, catering to various industries such as healthcare, finance, and transportation. Their expertise in computer vision encompasses image processing, object detection, and medical imaging, which are essential for developing advanced image recognition systems. As a center of software excellence for Maxar, Wovenware plays a significant role in leveraging technology to enhance operational efficiency and drive innovation for its clients.

10. Chooch AI

• Website: chooch.ai
• Ownership type: Private
• Headquarters: San Mateo, California, United States (USA)
• Founded year: 2015
• Headcount: 11-50
• LinkedIn: chooch-ai

Chooch AI, founded in 2015 and based in San Mateo, California, is a private company that specializes in computer vision solutions. The firm provides a range of services aimed at enhancing operational efficiency across various sectors, including healthcare, manufacturing, and geospatial analysis. Their AI Vision platform is engineered to process and analyze visual data at remarkable speeds, enabling organizations to make informed decisions quickly. Chooch AI's technology is utilized in applications such as hospital inventory management, wildfire detection, and workplace safety, showcasing its versatility. The company also offers a unique feature called ImageChat, which allows for interactive image-to-text and text-to-image capabilities. This positions Chooch AI as a significant player in the image recognition space, catering to businesses that require advanced visual data processing.

11. Adagrad AI

• Website: adagrad.ai
• Ownership type: Private
• Headquarters: Pune, Maharashtra, India
• Employee distribution: India 100%
• Founded year: 2018
• Headcount: 11-50
• LinkedIn: adagradai

Adagrad AI, founded in 2018 and based in Pune, Maharashtra, India, is a private technology consulting company that specializes in artificial intelligence solutions. With a team of 11 to 50 employees, Adagrad AI focuses on computer vision and machine learning, providing tailored services to enterprises and small to medium-sized businesses across various sectors. Their offerings include advanced image recognition technologies such as object detection, tracking, and intelligent video analytics. Adagrad AI aims to help organizations automate processes and derive actionable insights from visual data. They have established partnerships, including being part of NVIDIA’s Inception AI Startup Accelerator, which enhances their capabilities in deploying scalable AI solutions. Their work spans multiple industries, including retail, transportation, and manufacturing, where they apply their expertise to improve operational efficiency and decision-making through innovative AI applications.

12. Figure Eight

• Website: figure-eight.com
• Ownership type: Corporate
• Headquarters: San Francisco, California, United States (USA)
• Employee distribution: United States (USA) 100%
• Latest funding: $300.0M, February 2020
• Founded year: 2008
• Headcount: 51-200
• LinkedIn: figureeight

Figure Eight, founded in 2008 and based in San Francisco, California, is a technology company focused on machine learning and artificial intelligence. The firm offers data labeling services, including image annotation and text transcription, which are vital for organizations looking to prepare training data for AI applications. Their digital platform facilitates the connection between contractors and data tasks, primarily serving businesses in the technology sector. In February 2020, Figure Eight secured $300 million in funding, underscoring its relevance and growth in the AI data preparation market. The company plays a pivotal role in the AI ecosystem by ensuring that data scientists have access to high-quality labeled data, which is essential for training accurate machine learning models.

13. Korea Deep Learning Inc.

• Website: koreadeep.com
• Ownership type: Private
• Headquarters: Seocho, Seoul, South Korea
• Employee distribution: South Korea 100%
• Founded year: 2019
• Headcount: 11-50
• LinkedIn: koreadeeplearning

Korea Deep Learning Inc., founded in 2019 and based in Seocho, Seoul, South Korea, is a private technology consulting firm that specializes in artificial intelligence solutions. With a team of 25 employees, the company focuses on providing advanced services such as document recognition, image analysis, and 3D content creation. Their flagship product, the DEEP OCR engine, is designed to achieve high accuracy and rapid processing speeds, making it suitable for various applications in both public and private sectors. The company has established a strong presence in the AI industry, particularly in the fields of image recognition and analysis, and has garnered trust from over 50 large corporations and public organizations. Their commitment to innovation is further highlighted by their participation in the NVIDIA Inception program, which supports cutting-edge AI technology development. Korea Deep Learning Inc. continues to enhance its offerings, aiming to help clients automate processes and improve operational efficiency through tailored AI solutions.

14. AIMonk Labs Private Ltd

• Website: aimonk.com
• Ownership type: Private
• Headquarters: Bengaluru, Karnataka, India
• Employee distribution: India 100%
• Founded year: 2017
• Headcount: 11-50
• LinkedIn: aimonk

AIMonk Labs Private Ltd, founded in 2017 and based in Bengaluru, Karnataka, India, is a private technology firm that specializes in computer vision and artificial intelligence solutions. With a team of around 35 employees, AIMonk focuses on enhancing operational efficiency and data security for businesses through its innovative products. Their offerings include advanced facial recognition systems, intelligent OCR for automated data extraction, and various image recognition applications such as auto-tagging and content moderation. AIMonk operates under a SaaS model, allowing for scalable deployment of their solutions, which can be managed remotely while ensuring data privacy. The company is committed to continuous improvement, utilizing deep learning technologies to adapt and enhance their models based on new data. AIMonk's expertise positions it as a significant player in the image recognition sector, catering to a range of industries seeking to leverage visual intelligence.

15. Matrix AI Network

• Website: matrix.io
• Ownership type: Private
• Headquarters: Hong Kong S.A.R
• Employee distribution: China 33%, Hong Kong S.A.R 33%, Turkey 33%
• Latest funding: $15.6M, January 2018
• Founded year: 2016
• Headcount: 51-200
• LinkedIn: matrixainetwork

Matrix AI Network, founded in 2016 and based in Hong Kong S.A.R, is a private technology firm that specializes in artificial intelligence services. The company offers a wide range of AI solutions, prominently featuring image recognition capabilities. Their services include bank card identification, landmark recognition, handwritten text recognition, and various forms of object detection. Matrix AI Network serves businesses and organizations that require advanced data processing to enhance operational efficiency. The company has received funding amounting to approximately $15.55 million, indicating investor confidence in their technology and market potential. With a workforce distributed across China, Hong Kong, and Turkey, Matrix AI Network is positioned to cater to a global clientele, leveraging its expertise in AI to address specific industry needs.

16. Neurolabs

• Website: neurolabs.ai
• Ownership type: Venture Capital
• Headquarters: London, England, United Kingdom (UK)
• Employee distribution: United Kingdom (UK) 88%, Romania 12%
• Latest funding: Series A, $7.8M, April 2025
• Founded year: 2018
• Headcount: 11-50
• LinkedIn: neurolabs

Neurolabs is a technology company based in London, UK, founded in 2018. It focuses on synthetic image recognition solutions specifically designed for the retail sector. The company's flagship product, the ZIA platform, provides AI-driven insights that enhance retail execution and streamline inventory management. Neurolabs serves clients primarily in the Consumer Packaged Goods (CPG) industry, helping them optimize operations and improve data utilization. With a team of experts in AI and machine learning, Neurolabs is committed to continuous innovation in image recognition technology. The company has recently secured $7.8 million in Series A funding, which underscores its growth potential and relevance in the market.

17. LandingAI

• Website: landing.ai
• Ownership type: Venture Capital
• Headquarters: Palo Alto, California, United States (USA)
• Employee distribution: United States (USA) 86%, China 10%, Chile 4%
• Latest funding: June 2024
• Founded year: 2017
• Headcount: 51-200
• LinkedIn: landing-ai

LandingAI, founded in 2017 and based in Palo Alto, California, is a technology company that specializes in artificial intelligence and computer vision solutions. The firm is known for its flagship products, LandingLens and VisionAgent, which assist businesses in various sectors, including automotive, medical devices, and manufacturing, in harnessing visual data to enhance operational efficiency. LandingAI operates on a software-as-a-service (SaaS) model, providing scalable solutions that cater to the unique needs of its clients. The company is also recognized for its commitment to data-centric AI, which emphasizes the importance of data quality in the success of AI projects. With a team led by Andrew Ng, a prominent figure in the AI community, LandingAI is positioned to influence the development of visual AI technologies significantly.

18. EyeQ Tech

• Website: eyeq.tech
• Ownership type: Private
• Headquarters: Ho Chi Minh City, Ho Chi Minh, Vietnam
• Employee distribution: Vietnam 79%, United States (USA) 21%
• Founded year: 2017
• Headcount: 11-50
• LinkedIn: eyeq.tech

EyeQ Tech, founded in 2017 and based in Ho Chi Minh City, Vietnam, is a private technology firm that specializes in artificial intelligence, computer vision, and deep learning solutions. The company was established by a team of PhD graduates in computer science, aiming to inject intelligence into various sectors through advanced technology. EyeQ Tech's product offerings include action recognition, emotion recognition, facial recognition, and object detection, which are applied across industries such as retail, banking, security, and smart cities. Their technologies help businesses improve efficiency, enhance customer experiences, and optimize operations. EyeQ Tech has a small team of around 19 employees, with a significant portion based in Vietnam and a presence in the United States. They have not reported any funding to date, indicating a self-sustained growth model or early-stage development.

19. A.N.Lab

• Website: anlab.jp
• Ownership type: Private
• Headquarters: Japan
• Employee distribution: Vietnam 100%
• Founded year: 2007
• Headcount: 11-50
• LinkedIn: a.n.lab

A.N.Lab, founded in 2007 and based in Japan, is a private technology solutions provider with a focus on artificial intelligence and image recognition. The company employs a team of 11 to 50 individuals, primarily based in Vietnam. A.N.Lab specializes in automating business processes through innovative AI solutions, particularly in sectors such as retail and logistics. Their product offerings include AI OCR for document processing, Kaitori Robo for product assessment, and various tools designed to streamline operations and reduce human error. With over 15 years of experience in image recognition technology, A.N.Lab has successfully implemented its solutions across more than 200 companies, showcasing its expertise and commitment to enhancing operational workflows. The company has not reported any funding, indicating a self-sustained growth model.

20. Reconess

• Website: reconess.com
• Ownership type: Private
• Headquarters: Cincinnati, Ohio, United States (USA)
• Employee distribution: Palestine 41%, United States (USA) 41%, Canada 18%
• Founded year: 2017
• Headcount: 11-50
• LinkedIn: reconessinc

Reconess is a technology company based in Cincinnati, Ohio, founded in 2017. With a team of 11-50 employees, the company focuses on delivering tailored artificial intelligence solutions, particularly in the areas of computer vision, machine learning, and big data analytics. Their services include visual recognition, face technologies, and video analysis, which are essential for businesses looking to leverage image recognition capabilities. Reconess collaborates closely with clients to develop customized solutions that integrate advanced technologies into their operations. Their client portfolio includes notable names such as Unilever and the Ministry of Health in the UAE, showcasing their ability to serve various industries. Despite not having reported any funding, Reconess continues to innovate and adapt to the evolving demands of the AI landscape.

21. Hive

• Website: thehive.ai
• Ownership type: Private Equity
• Headquarters: San Francisco, California, United States (USA)
• Employee distribution: India 52%, United States (USA) 44%, Other 4%
• Latest funding: Series D, $50.0M, April 2021
• Founded year: 2013
• Headcount: 201-500
• LinkedIn: hiveai

Hive, founded in 2013 and based in San Francisco, California, is an AI solutions provider that focuses on machine learning models and content moderation services. The company has developed a range of products that cater to enterprise customers, particularly in technology and digital marketing sectors. Hive's offerings include visual moderation for images and videos, text moderation, and advanced search capabilities that allow users to classify and detect content attributes. Their technology is designed to enhance content safety and improve advertising effectiveness, making it a valuable asset for businesses that require reliable image recognition solutions. With a workforce of approximately 480 employees and a recent funding round of $50 million in April 2021, Hive continues to expand its influence in the AI space, particularly in areas related to content understanding and moderation.

22. V7

• Website: v7labs.com
• Ownership type: Private Equity
• Headquarters: London, England, United Kingdom (UK)
• Employee distribution: United Kingdom (UK) 85%, United States (USA) 6%, Ukraine 2%, Other 7%
• Latest funding: Series A, $33.0M, November 2022
• Founded year: 2018
• Headcount: 51-200
• LinkedIn: v7labs

V7 Labs, founded in 2018 and based in London, specializes in data annotation and management solutions tailored for AI and machine learning applications. The company offers innovative tools like V7 Go, a GenAI platform, and V7 Darwin, an advanced annotation tool. These products facilitate automated data workflows, enabling organizations across multiple sectors, including healthcare, logistics, and life sciences, to efficiently label and manage their data. V7's services are particularly valuable in the context of image recognition, as they provide precise labeling for various types of data, including medical imaging and video content. With a recent Series A funding round of $33 million completed in November 2022, V7 is positioned to expand its offerings and enhance its impact in the AI industry.

23. Synthesis AI

• Website: synthesis.ai
• Ownership type: Venture Capital
• Headquarters: San Francisco, California, United States (USA)
• Employee distribution: United States (USA) 100%
• Latest funding: $169,000, January 2024
• Founded year: 2019
• Headcount: 11-50
• LinkedIn: synthesis-ai

Synthesis AI, founded in 2019 and based in San Francisco, California, is a technology company that specializes in synthetic data solutions for computer vision and AI applications. With a team of 24 employees, the company is focused on providing innovative products that help businesses in sectors such as automotive and security develop robust AI models. Their offerings include Synthesis Humans, which generates realistic human data for training purposes, and Synthesis Scenarios, which creates complex environments for testing AI systems. Synthesis AI addresses the critical challenge of obtaining high-quality training data, enabling clients to enhance safety and performance in their applications. The company has received funding, with the latest round amounting to approximately $168,889 in January 2024, reflecting investor confidence in their approach and technology.

24. LENS Corporation

• Website: lenscorp.ai
• Ownership type: Venture Capital
• Headquarters: Lansing, Michigan, United States (USA)
• Employee distribution: India 100%
• Latest funding: Seed, April 2015
• Founded year: 2016
• Headcount: 11-50
• LinkedIn: lens-corporation

LENS Corporation, founded in 2016 and based in Lansing, Michigan, is a technology consulting firm that specializes in artificial intelligence solutions. With a team of around 66 employees, the company focuses on providing advanced services in biometrics, image analysis, cross-media translation, and 3D modeling. Their offerings include state-of-the-art SDKs for face, fingerprint, and iris recognition, enabling real-time biometric applications even in offline environments. LENS Corporation emphasizes a research-driven approach, ensuring that their solutions are not only high-quality but also tailored to meet the specific needs of their clients. They are committed to ethical AI practices, considering the social implications of their technologies and adhering to data privacy regulations. Their mission is to empower businesses through innovative AI solutions, making them a relevant player in the image recognition industry.

25. Alegion

• Website: alegion.com
• Ownership type: Venture Capital
• Headquarters: Austin, Texas, United States (USA)
• Employee distribution: Malaysia 67%, Egypt 17%, United States (USA) 10%, Other 6%
• Latest funding: Series A, $15.2M, July 2020
• Founded year: 2012
• Headcount: 51-200
• LinkedIn: alegion

Alegion, founded in 2012 and based in Austin, Texas, is a data annotation service provider that transforms unstructured data into high-quality, model-ready training data for AI and machine learning projects. The company serves various industries, including healthcare, retail, and manufacturing, by offering services such as data collection, annotation, and quality control. Alegion employs a global workforce, primarily located in Malaysia, Egypt, and the United States, allowing them to scale projects efficiently while ensuring accuracy and timely delivery. In July 2020, Alegion raised $15.2 million in Series A funding, which supports their mission to provide robust data annotation services. Their expertise in annotating complex data types, including images, positions them as a key player in the AI training data sector, particularly for image recognition applications.

26. Cogito Tech

• Website: cogitotech.com
• Ownership type: Private
• Headquarters: New York, New York, United States (USA)
• Employee distribution: India 99%
• Founded year: 2014
• Headcount: 1001-5000
• LinkedIn: cogito-tech-ltd

Cogito Tech is a private data annotation company based in New York, founded in 2014. With a workforce of over 680 employees, primarily located in India, the company focuses on providing tailored data labeling and curation services across multiple sectors, including healthcare, finance, and retail. Their expertise lies in enhancing AI and machine learning models through high-quality, accurately labeled data. Cogito Tech's services include image annotation, video annotation, and 3D point cloud annotation, which are vital for training image recognition systems. They employ a managed workforce of trained specialists to ensure precision and compliance in their operations. The company has established itself as a reliable partner for organizations looking to improve their AI capabilities through effective data management and annotation solutions.

Image Recognition AI Insights: Key Companies

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