As of November 2026, Latka tracks 74 data labeling software companies. They have combined revenues of $7.2B and employ 23.1K people. They have raised $3.1B and serve 2.5K customers combined.
Every company below sells data labeling software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
Data labeling software is designed to facilitate the process of annotating data, which is crucial for the development of machine learning and artificial intelligence models. Users of this software can label various data types, including images, audio, and text, providing the necessary annotations that allow algorithms to recognize patterns and make predictions. The software streamlines workflows, enabling large datasets to be processed efficiently and ensuring data quality through collaborative tools and automated features. Typical use cases for data labeling software include applications in computer vision for object detection, natural language processing for text classification, and audio analysis for speech recognition. With common features like user-friendly interfaces, quality control mechanisms, and integration capabilities with machine learning frameworks, this software empowers data scientists, AI developers, and researchers to prepare their data sets comprehensively. The primary buyers often include tech companies, research institutions, and enterprises looking to enhance their AI solutions and analytics capabilities.
Sorting: Highest -> Lowest
Showing 10 of 74 companies ranked by annual revenue.
San Francisco, California, United States
Our AI vetting identifies the best people in the world for a specific role. For example, our AI interviewer joins a video call and has a real-time conversation based on full context about a candidate's background.
San Francisco, California, United States
The world's most powerful data labeling and RLHF platform, designed for the next generation of AI
San Francisco, California, United States
Scale AI Inc. is a machine learning data annotation platform that provides high-quality training data to help develop and improve artificial intelligence (AI) models.
San Francisco, California, United States
Sama is the global leader in ethical data annotation and model evaluation solutions for computer vision, generative AI and other major applications of artificial intelligence. Our solutions minimize the risk of model failure and lower the total cost of ownership through an enterprise ready ML-powered platform, actionable data insights uncovered by proprietary algorithms, and a highly skilled on-staff team of over 5,000 data experts. 25% of Fortune 50 companies, including GM, Ford, Microsoft and Google, trust Sama to help deliver industry-leading ML models. Ethical AI is responsible AI, and as a Certified B-Corp, we’ve pioneered an impact model that harnesses the power of markets for social good, and has been proven to meaningfully improve employment and income outcomes for those with the greatest barriers to formal work. So far, helping more than 65,000 people lift themselves out of poverty.
Redwood City, California, United States
Snorkel AI is a software company that provides a platform for building and managing training data for machine learning models. Their platform allows developers and data scientists to label data programmatically and efficiently, using a combination of weak supervision and human-in-the-loop labeling. By automating the data labeling process, Snorkel AI enables companies to train machine learning models faster and with higher accuracy, while reducing the cost and time required for data labeling. The company was founded in 2019 by a group of researchers from Stanford University and is based in Palo Alto, California.
Palo Alto, California, United States
Turn AGI research into real-world impact. Advance AI from research to enterprise scale. Deliver measurable outcomes with cutting-edge intelligence.
New York, New York, United States
Developer of a synthetic intelligence platform intended to automate daily office tasks. The company's platform can operate a digital assembly line that can perform multiple time-consuming processes at once, enabling clients to focus on creative work that only they can do.
Wilmington, Delaware, United States
Soul AI is an Enterprise AI firm focusing on RLHF and Custom AI solutions, offering generative AI solutions for enterprises.
San Francisco, California, United States
TranscribeMe is the global leader in speech to text transcription services, providing accurate and reliable transcription solutions to thousands of clients in a wide range of industries. With a worldwide network of highly trained transcriptionists, TranscribeMe is able to provide high-quality transcriptions at scale, fast turnaround times, affordable pricing, and the highest level of security. Our technology enables us to deliver solutions to industries that require the highest levels of consistent accuracy and high security, including the medical, legal, and AI training spaces. At the core of our offering is a proprietary workforce management & task distribution platform that utilizes the very latest in AI to ensure all kinds of tasks are done efficiently and at scale. This is paired with a network of highly trained & skilled global pool of freelancers to enable unstructured audio/video data to be accurately transcribed and annotated in a variety of languages and at any volume. Unique to TranscribeMe is the flexibility our platform and workflows allow. Our capabilities enable us to manage all types of content, and have processes that are compliant with HIPAA, GDPR, and CCPA, as well as content containing PCI & PII. We understand the security of your data is a top priority and have built our platform around ensuring data is stored, accessed, and managed with the highest information security protocols in place. With a global team and headquartered in the Bay Area, California, we work with companies all over the world and provide 24/7 support. We would be delighted to work with you on your transcription needs.
Latka tracks 74 data labeling software companies with reported revenue. Together they generate $7.2B in annual revenue and employ 23.1K people.
Mercor is the largest, with $2B in annual revenue, founded in 2023.
The average data labeling software company in this list makes $97.9M a year, across 74 companies with reported revenue. They serve 2.5K customers combined.
Ranked by annual revenue, the leaders are Mercor, Surge AI, micro1, Scale AI and sama.com.
The 74 data labeling software companies tracked here have raised $3.1B in disclosed funding between them.
- Must provide tools for labeling diverse data types including images, text, and audio. - Should support both manual labeling and automated annotation processes. - Must include collaboration features for teams to work on data labeling tasks. - Must ensure quality control mechanisms to verify the accuracy of labeled data. - Not just a data management tool; must also provide data annotation capabilities.
