- Revenue
- $9.6M
- Year founded
- 2019
- Team size
- 65
Top 8 Data Labeling Software Companies With $5M–$10M Revenue (August 2026)
As of August 2026, Latka tracks 8 data labeling software companies with $5M–$10M in annual revenue. They have combined revenues of $64.8M and employ 549 people. They have raised $32.5M.
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.
What Data Labeling Software Companies do
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.
- Companies
- 8
- Revenue
- $64.8M
- Funding
- $32.5M
- Employees
- 549
Filters
Sorting: Highest -> Lowest
Top Data Labeling Software Companies With $5M–$10M Revenue
Showing 8 of 8 companies ranked by annual revenue.
2
Abaka AI
Palo Alto, California, United States
Abaka AI is a leading AI company and we are committed to becoming the data partner in the artificial intelligence industry. Abaka Al provides accurate and efficient services (ACE Service), covering data collection, data cleaning, data annotation, and datasets. The self-developed intelligent data engineering platform (MooreData Platform) can process multimodal data such as image, video, text, audio, and point clouds. With the built-in Al Power of the platform, the efficiency of data engineering can be accelerated by 500%-1000%. Abaka AI has established cooperative relationships with more than 1,000 top technology companies and research institutions, in the fields of autonomous driving, genAI, and embodied AI. The company has launched global offices in Silicon Valley, Paris, Singapore and Tokyo, providing world-class AI data services and intelligent data engineering platforms to global partners.
- Revenue
- $9.5M
- Year founded
- 2019
- Team size
- 86
3
understand.ai
Karlsruhe, Germany
We believe that AI is the most powerful tool our generation has at hand. At understand. ai , we make deep learning accessible for real-world applications like self-driving cars. More Info: https://understand. ai /privacy-policy Founded in 2017 in Karlsruhe, Germany, we are the ideal annotation partner throughout...
- Revenue
- $8.9M
- Year founded
- 2017
- Team size
- 81
4
Sapien
San Francisco, California, United States
Sapien is a decentralized data foundry, turning collective human knowledge into enterprise-grade AI training data.
- Revenue
- $8.6M
- Year founded
- 2023
- Team size
- 58
5
Macgence
Noida, Uttar Pradesh, India
Macgence is a leading AI training data company at the forefront of providing exceptional human-in-the-loop solutions to make AI better. We specialize in offering fully managed AI/ML data solutions, catering to the evolving needs of businesses across industries. With a strong commitment to responsibility and sincerity, we have established ourselves as a trusted partner for organizations seeking advanced automation solutions.
- Revenue
- $8.6M
- Year founded
- 2022
- Team size
- 78
6
Datasaur
Livermore, California, United States
Datasaur builds a data labeling workforce management platform for NLP.
- Revenue
- $7.2M
- Year founded
- 2019
- Team size
- 64
7
Kili Technology
Paris, Île-de-France, France
Build high-quality datasets, fast. Enterprises trust us to streamline their data labeling ops and build the best datasets for their custom models, generative AI, and LLMs ___ Why Kili Technology? You might not know this, but: MNIST’s dataset has an error rate of 3.4% and is still cited by more than 38,000 papers. The ImageNet dataset, with its crowdsourced labels, has an error rate of 6%. This dataset arguably underpins the most popular image recognition systems developed by Google and Facebook. Systemic error in these datasets has real-world consequences. Models trained on error-containing data are forced to learn those errors, leading to false predictions or a need of retraining on ever-increasing amounts of data to “wash out” the errors. Every industry has begun to understand the transformative potential of AI and invest. But the revolution of ML transformers and relentless focus on ML model optimization is reaching the point of diminishing returns. What else is there? ______ The Company Kili began as an idea in 2018. Edouard d’Archimbaud, our co-founder and CTO, was working at BNP Paribas, where he built one of the most advanced AI Labs in Europe from scratch. François-Xavier Leduc, our co-founder and CEO, knew how to take a powerful insight and build a company around it.While all the AI hype was on the models, they focused on helping people understand what was truly important: the data. Together, they founded Kili Technology to ensure data was no longer a barrier to good AI.By July 2020, the Kili Technology platform was live and by the end of the year, the first customers had renewed their contract, and the pipeline was full. In 2021, Kili Technology raised over $30M from Serena, Headline and Balderton. Today Kili Technology continues its journey to enable businesses around the world to build trustworthy AI with high-quality data.
- Revenue
- $6.7M
- Year founded
- 2018
- Funding
- $30.7M
- Team size
- 61
- Revenue
- $5.7M
- Year founded
- 2018
- Funding
- $1.8M
- Team size
- 56
Frequently asked questions about Data Labeling Software Companies With $5M–$10M Revenue
How many data labeling software companies with $5M–$10M in annual revenue are there?
Latka tracks 8 data labeling software companies with $5M–$10M in annual revenue. Together they generate $64.8M in annual revenue and employ 549 people.
Which data labeling software company with $5M–$10M in annual revenue is the largest?
Roboflow is the largest, with $9.6M in annual revenue, founded in 2019.
How much revenue does a typical data labeling software company with $5M–$10M in annual revenue make?
The average data labeling software company in this list makes $8.1M a year, across 8 companies with reported revenue.
Who are the leading Data Labeling software vendors with $5M–$10M in annual revenue?
Ranked by annual revenue, the leaders are Roboflow, Abaka AI, understand.ai, Sapien and Macgence.
How much funding have data labeling software companies with $5M–$10M in annual revenue raised?
The 8 data labeling software companies with $5M–$10M in annual revenue tracked here have raised $32.5M in disclosed funding between them.
Related Artificial Intelligence Software categories
Inclusion Criteria
- 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.