New York's Top 24 in Computer Vision Companies

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Top 24 computer vision companies in New York Main

New York's Top 24 in Computer Vision Companies

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Top 24 computer vision companies in New York Main
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Computer vision, a subset of artificial intelligence, is emerging as an indispensable tool for a growing number of businesses in various industries. This cutting-edge technology involves emulating human vision using complex algorithms to interpret and understand digital images or videos. In the diverse landscape of New York, numerous companies specialise in computer vision applications - from document automation with data extraction to advanced machine learning solutions and insightful data platforms. These enterprises vary in size, from startups to established names, offering tailored solutions to an array of operational hurdles. The fast-paced evolution of this technology indicates a promising future where advanced AI models could increasingly offer improvement in efficiency and a competitive edge in the market.


Top 24 computer vision companies in New York

1. Ocrolus

  • Website: ocrolus.com
  • Headquarters: New York, New York, United States
  • Founded: 2014
  • Headcount: 201-500
  • Latest funding type: Series C
  • LinkedIn

Ocrolus is a company that offers document automation software and services. They specialize in automated document classification, data extraction, and analysis using machine learning and computer vision technologies.


2. AISmartz

  • Website: aismartz.com
  • Headquarters: Rochester, New York, United States
  • Founded: 2015
  • Headcount: 201-500
  • LinkedIn

We’ve been building technology solutions on client augmented team models for years and now, we are empowering businesses with Applied Machine Learning and training data to operationalize AI models. It doesn’t matter if you are a startup, SME or an established brand, AIsmartz will help you derisk and operationalize AI with cutting-edge Machine Learning Solutions & Data Labelling Services. A team of seasoned ML Engineers and Data Labelling Workforce covers everything from consulting & prototyping to data labelling & project delivery leveraging tools and libraries that are robust, scalable and affordable. AISmartz’s range of services and industries includes Predictive Analytics, Computer Vision and NLP using Machine Learning and Deep Learning, to solve problems in Sales Forecasting, Speech Recognition, Image Classification, Object Detection, Facial Recognition, Anomaly Detection, and Text Analytics, Chatbots and Natural Language Understanding. With our focus on Applied AI and training data for ML, your real-world business opportunities are endless. Why wait longer? Capitalize on AIsmartz's services for greater insights, improved data enrichment & annotation efficiencies, and higher ROI!


3. Planck

  • Website: planckdata.com
  • Headquarters: New York, New York, United States
  • Founded: 2016
  • Headcount: 51-200
  • Latest funding type: Series Unknown
  • LinkedIn

Planck is a data platform that provides wide coverage of businesses and related insights. They employ real-time, targeted data collection to address specific business questions. Their proprietary artificial intelligence capabilities, including computer vision and natural language processing, interpret millions of data points to turn them into valuable information. Planck aims to uncover the truth about a business by transforming data into actionable insights.


4. intenseye

  • Website: intenseye.com
  • Headquarters: New York, New York, United States
  • Founded: 2018
  • Headcount: 51-200
  • Latest funding type: Series A
  • LinkedIn

Intenseye is an AI-powered platform that helps businesses improve workplace safety and compliance. By using cutting-edge computer vision technology, Intenseye detects hazards, unsafe acts, and conditions in real-time, allowing for timely intervention and assistance. With features such as PPE compliance verification and ergonomics assessment, Intenseye aims to reduce the risk of injuries and create a culture of occupational health and safety.


5. Okapi AI

Okapi Vision is a company that offers innovative solutions in the field of vision technology. They specialize in developing cutting-edge computer vision software and hardware for various applications. Their products and services are designed to enhance automation, improve efficiency, and enable new capabilities in industries such as manufacturing, surveillance, robotics, and healthcare.


6. Anolytics

  • Website: anolytics.ai
  • Headquarters: Levittown, New York, United States
  • Founded: 2016
  • Headcount: 201-500
  • LinkedIn

Anolytics offers a low-cost annotation service for machine learning and artificial intelligence model developments. It is providing the precisely annotated data in the form of text, images and videos using the various annotation techniques while ensuring the accuracy and quality. It is specialized in Image Annotation, Video Annotation and Text Annotation with best accuracy. Anolytics is providing all leading types of data annotation service used as a data training in machine learning and deep learning. It offers Bounding Boxes, Semantic Segmentation, 3D Point Cloud Annotation and 3D Cuboid Annotation for fields like healthcare, autonomous driving or drone falying, retail, security surveillance and agriculture. Anolytics works with scalable solution, available at turnaround time and cost-effective pricing for clients across the globe. OUR SERVICES We are providing image annotation for machine learning using the advance tools and human powered skills to make each image easily recognizable for machines or computer vision. We can label each data or annotate different types of objects like cars, human, animals or trees etc. using the various modes of annotation as per the client’s needs. *Image Annotation *Video Annotation *Text Annotation *Polygon Annotation *Polylines Annotation *Semantic Segmentation *Bounding Box *Landmark Annotation *3D Cuboid Annotation *3D Point Cloud Annotation *Content Moderation Our Image Annotation service is spread over wide-range of industries working on AI-based or machine learning-based business models. From ecommerce to retail and healthcare, we cover most of them with same level of dedication and quality. *Self Driving *Health Care *AI in Retail *Autonomous Flying *Robotics *Security *Satellite imagery *Agriculture PH. No. : +1-516-342-5749 Email ID : info@anolytics.ai


7. Keymakr data labeling

  • Website: keymakr.com
  • Headquarters: New York, New York, United States
  • Founded: 2015
  • Headcount: 201-500
  • LinkedIn

Keymakr provides services of advanced data collection for training of Convolutional Neural Networks and Deep Learning Artificial Intelligence systems. Our experts in Data Collection team specialize in collecting and constructing high quality custom training datasets for deep learning algorithms. The company has the technological infrastructure and knowledge for efficiently collecting, sorting and verifying data from various data sources according to variable and individually suited parameters in accordance with specific requests of the customer. Our goal is to provide the customer with the best custom datasets that will improve ML system accuracy, efficiency and reduce overhead from dataset creation stage.


8. amizen labs

Amizen Labs helps organizations gain competitive edge by creating and maximizing value using artificial intelligence (AI). Do you have a winning AI Strategy and Plan? 1. AI Discovery & Strategy: a. Get a better understanding of the AI landscape b. Identify specific value creation and value capture opportunities c. Prioritize AI opportunities that maximize value d. Define AI strategy roadmap with objectives, goals, resources, & timeline 2. Proof of concept / Pilot: a. Establish clear understanding of the goals and objectives for the POC b. Define parameters for success c. Data analysis and refinement d. Model development and refinement e. Model evaluation, results, and decision implications 3. Production Implementation & fine-tuning a. Project Planning b. Business & technical requirements (functional and non-functional) c. User Experience d. Technical architecture e. Agile development, quality assurance, refinement, documentation, and release f. Knowledge transfer 4. AI Managed Service (AI-as-Service) a. Zero infrastructure investment. b. AI expertise not required c. 24x7 monitoring d. Extended support hours e. Model retraining and optimization


9. Spectral Tech AI

SpectralTech is an AI-focused company that automates basic human tasks, rapidly generating insights to make smarter, faster business decisions, while also improving customer support and reducing costs.


10. Omdena

  • Website: omdena.com
  • Headquarters: New York, New York, United States
  • Founded: 2019
  • Headcount: 11-50
  • Latest funding type: Pre Seed
  • LinkedIn

Omdena is a company that offers AI and machine learning solutions. Their expertise lies in providing solutions and insights to organizations through the use of AI technology. They help businesses leverage the power of AI to improve processes, make predictions, and make informed decisions.


11. Neural Information Processing Systems

  • Website: sanjivk.com
  • Headquarters: New York, New York, United States
  • Headcount: 1-10

EECS6898: Large-Scale Machine Learning , Fall 2010, Columbia University, New York, NY. O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers Neural Information Processing Systems (NeurIPS), 2020. Why are Adaptive Methods Good for Attention Models? Neural Information Processing Systems (NeurIPS), 2020. Neural Information Processing Systems (NeurIPS), 2020. Neural Information Processing Systems (NeurIPS), 2020. International Conference on Machine Learning (ICML), 2020. Does Label Smoothing Mitigate Label Noise? International Conference on Machine Learning (ICML), 2020. International Conference on Machine Learning (ICML), 2020. International Conference on Machine Learning (ICML), 2020. Large Batch Optimization for Deep Learning: Training BERT in 76 Minutes International Conference on Learning Representations (ICLR), 2020. Are Transformers Universal Approximators of Sequence-to-Sequence Functions? International Conference on Learning Representations (ICLR), 2020. Can Gradient Clipping Mitigate Label Noise? International Conference on Learning Representations (ICLR), 2020. International Conference on Learning Representations (ICLR), 2020. Multilabel Reductions: What is My Loss Optimising? Neural Information Processing Systems (NeurIPS), 2019. Neural Information Processing Systems (NeurIPS), 2019. Neural Information Processing Systems (NeurIPS), 2019. International Conference on Machine Learning (ICML), 2019. International Conference on Machine Learning (ICML), 2019. International Conference on Learning Representations (ICLR), 2019. International Conference on Artificial Intelligence and Statistics (AISTATS), 2019. International Conference on Artificial Intelligence and Statistics (AISTATS), 2019. Neural Information Processing Systems (NIPS), 2018. Neural Information Processing Systems (NIPS), 2018. International Conference on Machine Learning (ICML), 2018. International Conference on Learning Representations (ICLR), 2018. Neural Information Processing Systems (NIPS), 2017. ...


12. Cogito Tech LLC

  • Website: cogitotech.com
  • Headquarters: Levittown, New York, United States
  • Founded: 2006
  • Headcount: 201-500
  • LinkedIn

Cogito Tech LLC is a company specializing in collecting, sorting, classifying, organizing, and validating raw and unstructured documents to make them more serviceable for diverse business uses. They offer AI training data for various industries, including agritech, insurance, healthcare, logistics, and robotics.


13. Ptucha

  • Website: ptucha.com
  • Headquarters: Honeoye Falls, New York, United States
  • Headcount: 1-10

Raymond Ptucha is a Computational Display Technology Leader in the Visual Experience Group at Apple where he is responsible for machine learning and algorithms in display products. He was an Associate Professor in Computer Engineering and Director of the Machine Intelligence Laboratory at Rochester Institute of Technology . His research includes machine learning, computer vision, and robotics, with a specialization in deep learning. Ray was a research scientist with Eastman Kodak Company for 20 years where he worked on computational imaging algorithms and was awarded 33 U.S. patents. He graduated from SUNY/Buffalo with a B.S. in Computer Science (1988) and a B.S. in Electrical Engineering (1989). He earned a M.S. in Image Science from RIT in 2002. He earned a Ph.D. in Computer Science from RIT in 2013. Ray was awarded an NSF Graduate Research Fellowship in 2010 and his Ph.D. research earned the 2014 Best RIT Doctoral Dissertation Award. Ray is a passionate supporter of STEM education, is an NVIDIA certified Deep Learning Institute instructor, Chair of the Rochester area IEEE Signal Processing Society, and is an active member of his local IEEE chapter and FIRST robotics organizations. M. Sharma, M, Dhanaraj, S. Karnam, D. Chachlakis, R. Ptucha, P. Markopoulos, E. Saber, ""YOLOrs: Object Detection in Multimodal Remote Sensing Imagery,"" Journal of Selected Topics in Applied Earth Observations and Remote Sensing, JSTARS-2020-01033.R2, 2020 C. Homan, N. Schrading, R. Ptucha, C. Cerulli, C. Alm, ""Quantitative Methods for Analyzing Intimate Partner Violence in Microblogs: Observational Study,"" Journal of Medical Internet Research, e15347, Vol. 22, No. 11, 2020. [paper] A. Chintha, B. Thai, S. Sohrawardi, K. Bhatt, A. Hickerson, M. Wright, R. Ptucha, ""Recurrent Convolutional Structures for Audio Spoof and Video Deepfake Detection,"" IEEE Journal of Selected Topics in Signal Processing, Volume 14, Issue 5, DOI 10.1109/JSTSP.2020.2999185, 2020. [paper] S. Sah, S. Gopalakrishnan, R. Ptucha, ""Aligned Attention for Common ...


14. LDV Capital

  • Website: ldv.co
  • Headquarters: New York, New York, United States
  • Founded: 2012
  • Headcount: 1-10
  • LinkedIn

LDV is a technology company offering a range of products and services designed to meet the needs of businesses across a variety of industries.


15. FLX AI, Inc.

  • Website: flxai.com
  • Headquarters: Rochester, New York, United States
  • Founded: 2021
  • Headcount: 11-50
  • LinkedIn

FLX AI is a data science company that specializes in creating machine learning models to simulate systems such as energy grids and transportation networks.


16. Lexset

  • Website: lexset.ai
  • Headquarters: Brooklyn, New York, United States
  • Founded: 2017
  • Headcount: 1-10
  • Latest funding type: Pre Seed
  • LinkedIn

Lexset is a provider of synthetic data solutions for machine learning. They offer tools and platforms for creating customized datasets to enable companies to simulate various real-world scenarios for their AI models.


17. Icmr

  • Website: icmr2016.com
  • Headquarters: New York City, New York, United States
  • Headcount: 1-10

Icmr is a company that operates in the Internet industry. It employs 6-10 people and has $1M-$5M of revenue. The company is headquartered in New York City, New York.


18. Infolytx

  • Website: infolytx.com
  • Headquarters: New York, New York, United States
  • Founded: 2014
  • Headcount: 11-50
  • LinkedIn

Infolytx.com is a company that offers various services and solutions to businesses. With a focus on data analysis and insights, they help companies make informed decisions and drive growth. Their offerings include data analytics, predictive modeling, and consulting services.


19. NextGen Invent, an INC.5000 company

NextGen Invent is a company specializing in strategy intelligent automation, offering 30% efficiency gain in the manufacturing ecosystem. They provide AR and cloud-enabled products that improve warehouse management system and supply chain management for Fortune 1000 global companies. The company also offers regulatory compliance consulting services.


20. Kloud9

  • Website: kloud9.nyc
  • Headquarters: New York City, New York, United States
  • Founded: 2016
  • Headcount: 201-500
  • LinkedIn

Kloud9.nyc is a cloud engineering company that specializes in digital transformation solutions and services for enterprises in various industries. They offer data engineering, data analytics, and data science solutions that empower businesses with cognitive intelligence. With expertise in cloud migration and cloud DevOps services, they help retailers optimize productivity, reduce risks, and improve profitability. Kloud9.nyc also provides automation solutions to resolve issues proactively and improve efficiency and productivity for organizations in retail, consumer goods, manufacturing, and healthcare.


21. VisionX

  • Website: visionx.io
  • Headquarters: New York, New York, United States
  • Founded: 2017
  • Headcount: 51-200
  • Latest funding type: Undisclosed
  • LinkedIn

VisionX is a software development company that helps businesses build great software and products with speed, quality, and agility. They offer technology consulting and services such as computer vision, OCR/NLP, augmented/virtual reality, and blockchain. They work with various industries including eCommerce & Retail, Supply Chain & Logistics, and Quick Service Restaurants.


22. Haralick

  • Website: haralick.org
  • Headquarters: New York City, New York, United States
  • Headcount: 1-10

Haralick is a company that operates in the Research industry. It employs 11-20 people and has $1M-$5M of revenue. The company is headquartered in New York City, New York.


23. Curia

  • Website: curiabot.com
  • Headquarters: New York, New York, United States
  • Founded: 2017
  • Headcount: 1-10
  • LinkedIn

A Virtual Legal Assistant providing legal information, lawyer searches, and legal news.


24. FoxyAI

  • Website: foxyai.com
  • Headquarters: New York, New York, United States
  • Founded: 2018
  • Headcount: 11-50
  • Latest funding type: Series Unknown
  • LinkedIn

FoxyAI is an AI and computer vision company that provides actionable property intelligence. They offer solutions for property valuation, preservation and asset management, insurance, appraisal, and real estate investors.


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