Top 10 ML Data labeling and annotation startups

Updated: February 25, 2024 | Editor: Siddhant Patel

ML Data labeling and annotation startups utilize crowdsourcing platforms, machine learning algorithms, and quality control mechanisms to provide accurate and comprehensive labeling and annotation services for training machine learning models, ensuring high-quality labeled datasets that enable the development of robust and reliable AI applications across various domains.
1
Country: USA | Funding: $135.3M
Snorkel AI is focused on making AI practical through Snorkel Flow: the data-first platform for enterprise AI.
2
Country: Israel | Funding: $49M
DataLoop's data management and annotation platform streamlines the process of generating machine consumable datasets out of raw visual data.
3
Country: UK | Funding: $33.7M
Prolific has built a network of 120,000 human participants to inform and stress test AI models.
4
Country: USA | Funding: $30M
Heartex offers a data labeling and annotations tool for building accurate and smart AI products.
5
Country: USA | Funding: $25M
Surge AI is the world's most powerful data labeling platform for NLP.
6
Country: USA | Funding: $4.6M
RedBrick AI is a SaaS platform for annotating medical data.
7
Country: Ukraine | Funding: $1.5M
Annotation Hub offers a curated platform for data annotation freelancers and agencies. Beyond job connections, we equip individuals with sought-after annotation skills, ensuring their evolution from entry-level roles to tech professionals.
8
Country: Estonia | Funding: $876.4K
AI based, gamification supported, crowdsourced data annotation and enrichment platform
9
Country: Canada | Funding: $100K
Optims.ai accelerates AI transformation in Healthcare through medical image data labeling. Using AI to process data and turn raw data into premium quality training data Optims.ai has introduced a more efficient and faster way to process premium quality data for medical image data labeling.
10
Country: USA | Funding: $100K
Labellerr's data labeling engine uses automated annotation, advanced analytics and smart QA to process million images and thousands hrs of videos in just few weeks.
11
Country: Germany
LightTag is a text annotation platform for data scientists creating AI training data
12
Country: UK
Kieli provides software localization and AI training data services, helping UK businesses build a data warehouse for machine learning and artificial intelligence. Kieli labels, classify and categorise a large set of data including but not limited images, text, speech, audio, video, and other data used to improve the world’s most innovative artificial intelligence systems
13
Country: USA
Shaip is an end-to-end AI training data ecosystem that helps companies launch their most demanding AI initiatives.
14
Country: India
Wisepl is one of the leading companies in image annotation to annotate the data with an exceptional level of accuracy
15
Country: India
TagX is an Industry-leading data annotation/labeling Company creating high-quality data assets for Artificial Intelligence leveraging AI and humans in the loop. By learning from the data we create AI solutions for industries to maximize profits and reduce downtimes.
16
Country: USA
Cogito is the industry leader in data labeling and annotation services to provide the training data sets for AI and machine learning model developments. All types of AI and ML services requires the training data for algorithms with next level of accuracy making AI possible into diverse fields like healthcare, gaming, agriculture, retail, automotive, robotics and security surveillance etc.
17
Country: USA
SunTec.AI is associated with clients belonging to a diverse set of industries and provides them with premium, data annotation services at competitive prices. Our work enables AI and machine learning business processes to have access to error-free and scalable so that they can improve their solutions and offer precise analysis and predictions. Our expert team of professionals can handle projects related to image annotation, sentiment analysis, intent variation, and so on. We thrive to deliver accurate, cost-efficient data labeling services with guaranteed data security and privacy
18
Country: India
Anolytics provides image, text, audio and video annotation services for computer vision and machine learning.
19
Country: India
Wpics is providing annotated image data for computer vision platforms allowing machines to detect images and compartmentalise the objects in different categories. WPICS makes data labelling possible for multiple industries to develop AI-based functional model work efficiently and error free.
20
Country: USA
Sigma AI is a global training data collection, preparation and annotation services company. For companies building the next generation of AI, we provide the highest quality training data at scale, with a human touch.
21
Country: UK
Lexsense provides metadata annotation for NLP solutions.
22
Country: India
As one of the leading data annotation companies, LINESTAR AI offers unparalleled image labeling and image annotation services at cost-effective rates
23
Country: France
People For AI is a French data labeling company. Using our service, you will obtain high-quality training data for your computer vision, NLP or speech recognition algorithms.
24
Country: Ukraine
Remote Labeler is a leading specialized service provider that offers comprehensive solutions to help businesses build and manage a highly skilled team of remote data labeling specialists.
25
Country: India
FutureBeeAI is providing end-to-end ecosystem for acquiring all kinds of training datasets.
26
Country: USA
Label Your Data offers secure, high-quality data annotation services for Computer Vision and NLP. Our expertise spans diverse industries (including military) and data types.
27
Country: Canada
SmartOne, a pioneer in data labeling since 2012, is renowned for ethical practices, low turnover, and delivering over 95% accuracy. We offer new clients a free Proof of Concept (POC) to showcase our top-tier skills and processes. Choose SmartOne for quality, experience, and precision in data labeling.
Editor: Siddhant Patel
Siddhant Patel is a senior editor for AI-Startups. He is based out of India and has previously worked at publications including Huffington Post and The Next Web. Siddhant has a special interest in artificial intelligence and has spent a decade covering the rapidly-evolving business and technology of the industry. Siddhant graduated from the Indian Institute of Science (Bengaluru). When he’s not writing, Siddhant is also a developer and has a deep historical knowledge of the computer industry for the past 50 years. You can contact Siddhant at sidpatel(at)ai-startups(dot)org