1
Redouble AI
San Francisco, California, United States
Scale human-in-the-loop for AI workflows in regulated industries
- Revenue
- $900K
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 6
- Growth
- -
Top 62 Data Labeling Software SaaS Companies in May 2026
As of May 2026, there are 62 SaaS companies in Data Labeling Software. They have combined revenues of $4.5B and employ 15.1K people. They have raised $1.9B and serve 502.5K customers combined.
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.
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Top Data Labeling Software Companies
Showing 10 of 22 companies ranked by annual revenue.
2
AI Aware
Newcastle, United Kingdom
Current systems of AI -content detection using machine learning have proven to be inaccurate (around 90% success at spotting AI -generated content and up to 5-10...
- Revenue
- $880K
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 8
- Growth
- -
3
TaQadam | We Make Visual Data AI-Ready
New York, New York, United States
TaQadam transforms imagery collected by satellites and drones into valuable insights with humans-in-the loop, computer vision, annotation, and mapping technologies. We build solutions for businesses and sustainable development initiatives. With our mobile app and collaborative team model, we deliver a high quality annotation at scale.
- Revenue
- $770K
- Customers
- -
- Year founded
- 2017
- Funding
- -
- Team size
- 7
- Growth
- -
4
Pointly
Berlin, Berlin, Germany
Pointly is a cloud-based and user-friendly 3D labeling platform for all types of point clouds and enables fast training data generation for AI Use Cases. Combined with Pointly Services, where we offer tailormade 3D point cloud solutions (e.g. automated feature extraction or CAD data generation), we can support you with your projects from proof of concept to fully scalable solutions. Visit Pointly at www.pointly.ai and try it out for free!
- Revenue
- $770K
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 7
- Growth
- -
- Revenue
- $699.2K
- Customers
- -
- Year founded
- 2021
- Funding
- -
- Team size
- 19
- Growth
- -
6
BOUNTE
Lake Forest, Illinois, United States
BOUNTE™ is a cloud-based technology that automates lost and found operations and minimizes staff contact with lost property. Our smartphone app uses AI image recognition to record and log items. Each item is stored in a barcoded BOUNTE bag and sealed for hygiene and security, and a return shipping wizard handles labeling. All contribute to a greatly enhanced customer experience. We take the pain and frustration out of lost and found.
- Revenue
- $660K
- Customers
- -
- Year founded
- 2018
- Funding
- -
- Team size
- 6
- Growth
- -
- Revenue
- $660K
- Customers
- -
- Year founded
- 2023
- Funding
- -
- Team size
- 6
- Growth
- -
8
Mundo AI
San Francisco, California, United States
High Quality Multilingual Training Data for AI Models
- Revenue
- $660K
- Customers
- -
- Year founded
- 2024
- Funding
- -
- Team size
- 6
- Growth
- -
9
RecTag
Berlin, Germany
RecTag is a podcast discovery platform that discovers new and trending podcasts episodes and personalizes podcast experience for free. The platform trains a speech-to-text algorithm through podcasting (crowdsourced supervised learning) and aims to provide a high-performance transcription SaaS at scale. The AI enables content-based discovery beyondsimple chart lists.
- Revenue
- $644.2K
- Customers
- -
- Year founded
- 2019
- Funding
- -
- Team size
- 3
- Growth
- 28.24%
10
Caplena
Zurich, Switzerland
Developer of a text data analysis platform designed to provide deep learning for natural language processing and image recognition. The company's platform annotates machine learning training data, categorizes short texts, evaluates employee and customer feedback, surveys codes as well as efficiently codes open-ended questions, enabling market research professionals to reduce the effort of analyzing open-ended questions, save costs as well as improve data handling, data consistency and data versioning.
- Revenue
- $570.6K
- Customers
- -
- Year founded
- 2017
- Funding
- -
- Team size
- 22
- Growth
- 90.14%
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.