Well-labeled training data is the foundation of AI projects, such as teaching an autonomous car to identify pedestrians and traffic signs or a diagnostic system to differentiate between normal and anomalous medical scans. Companies in this space are streamlining a traditionally human-intensive workflow with AI-assisted labeling platforms.
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Claim your CB Insights ProfileLeaders are the most established service providers in the market and possess the breadth to address various customer needs.
See why these companies made it as leaders for Data Annotation. These companies include Scale AI and Labelbox.
United States / Founded Year: 2016
Scale AI is an API for human labor that allows developers to enter requests for humans to complete menial, repetitive tasks that cannot be done by a computer. With Scale, developers can get information screened for duplicates and mismatches and have user-generated content moderated and categorized.
Flexport, Hesai Tech, Ouster, and 2 more
Alexandr Wang, Francis Vega, Brad Porter, and 2 more
United States / Founded Year: 2017
Labelbox offers a training data platform for machine learning teams to build real-world AI. The platform consists of label editor tools, batch, and real-time labeling workflows, collaboration, quality review, analytics, and an optional, fully managed, and dedicated labeling workforce.
Snowflake Computing, DataRobot, Google Cloud Platform, and 2 more
Manu Sharma, Brian Rieger, Dan Buczaczer, and 2 more
United States / Founded Year: 2008
Sama provides accurate data for ambitious AI. The company’s training data platform develops accurate machine learning models specializing in image, video and sensor data annotation and validation for machine learning algorithms in industries including transportation, retail and e-commerce, consumer and media, medtech, manufacturing and robotics, and agriculture.
Swift Medical, Montreal Institute for Learning Algorithms, Orbisk, and 1 more
Wendy Gonzalez, Mark Wolfberg, Colby Moosman, and 1 more
South Korea / Founded Year: 2017
CrowdWorks is an online crowdsourcing marketplace platform for AI. Freelance workers review the data and add annotations for AI developers, enabling the acquisition and processing of high-quality data for machine learning.
Minu Park, Daeyoung K., Jeongshik Jang, and 1 more
United States / Founded Year: 2013
Hive is a deep learning company solving visual intelligence challenges through three main pillars of the business: Hive Data, Hive Predict, and Hive Media. Hive Data is a two-sided marketplace for machine learning data labeling. Hive Predict is a set of proprietary visual intelligence models that solve problems like the identification of celebrities and logos. The company's flagship product is Hive Media, through which they are selling television analytics datasets.
Kevin Guo, Dmitriy Karpman, Dan Calpin, and 1 more
United Kingdom / Founded Year: 2018
V7 offers a complete toolkit for creating robust computer vision AI, maintaining state-of-the-art performance at every step. The company's Aipoly makes an app for the blind and visually impaired. Aipoly is an app that uses Vision AI to recognize objects in real-time.
Simon Edwardsson, Marita AM, Alberto Rizzoli
United States / Founded Year: 2019
Snorkel AI develops a system for programmatically building and managing training datasets. The company's platform allows users to develop training datasets.
Paroma Varma, Henry Ehrenberg, Chris Re, and 1 more
Highfliers are the most innovative service providers in the market and possess the resources to address evolving customer needs.
See why these companies made it as highfliers for Data Annotation. These companies include SuperAnnotate.
United States / Founded Year: 2018
SuperAnnotate AI develops an end-to-end platform to annotate, train, and automate AI. The company designs AI-powered image and video annotation software solutions for industries. It serves clients in the Agriculture, Autonomous Driving, Robotics, Aerial Imagery, NLP, Healthcare, Sports, Insurance, and Security industries. SuperAnnotate was founded in 2018 and is based in Sunnyvale, California.
Tigran Petrosyan, Vahan Petrosyan, Arthur Do
Outperformers are the most specialized service providers in the market and possess the expertise to address unique customer needs.
See why these companies made it as outperformers for Data Annotation. These companies include Super.AI and CloudFactory.
United States / Founded Year: 2017
Super.AI is an AI enablement platform that accelerates machine learning projects by using AI and humans to generate, structure, and label any type of data.
Brad Cordova, Henry Setiawan, Lars Wulfken
United Kingdom / Founded Year: 2010
CloudFactory creates economic and leadership opportunities for talented people in developing nations. CloudFactory is a distributed labor platform melding human and machine intelligence.
The Network, Datasaur, Dataloop, and 2 more
Matt Mireles, Mark Sears, Cary Smith
Israel / Founded Year: 2017
Dataloop provides an enterprise-grade data platform for vision AI systems in development and in production. Specializing in high volume and complex data, Dataloop helps a wide range of deep learning teams automate their data preparation processes.
Avi Yashar, Nir Buschi, Eran Shlomo
Challengers are the most promising service providers in the market and possess the agility to address emerging customer needs.
See why these companies made it as challengers for Data Annotation. These companies include Petuum and Defined.ai.
United States / Founded Year: 2016
Petuum is a software infrastructure and ecosystem provider that enables AI for enterprise. Petuum's operating system gives users a single platform to build any Machine Learning or Deep Learning application using large amounts of data, and deploy it at scale on any hardware – such as workstations, datacenters, the internet of things, and edge computing.
Hitesh Dholakia, Qirong Ho
United States / Founded Year: 2015
Defined.ai is a marketplace for AI products. The company offers artificial intelligence products for the needs of companies from the banking, insurance, telecom, and retail industries.
Daniela Braga, Teresa Nascimento, Terence Fitzpatrick, and 1 more
United States / Founded Year: 2018
Superb AI uses AI to customize training data for large tech companies. The company's Superb AI Suite is an enterprise SaaS platform built to help ML engineers, product teams, researchers, and data annotators create efficient training data workflows through its filter &search, auto-labeling AI, and ML Ops integration solutions.
Well-labeled training data is the foundation of AI projects, such as teaching an autonomous car to identify pedestrians and traffic signs or a diagnostic system to differentiate between normal and anomalous medical scans. Companies in this space are streamlining a traditionally human-intensive workflow with AI-assisted labeling platforms.
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