Top Automated Data Annotation startups
There are 179 Automated Data Annotation startups which include Scale AI, KGeN, Encord, Superb AI, iMerit. Out of these, 33 startups are funded, with 12 having secured Series A+ funding. United States has the most number of companies in Automated Data Annotation (60), followed by India
(17), and then Germany (8).
2026 has seen the creation of 3 Automated Data Annotation startups. Over the past 10 years, an average of 8 new companies have been launched annually. Notably, several of these startups have been founded by alumni of Harvard University, Massachusetts Institute of Technology and Stanford University.
Here is the list of top Automated Data Annotation Startups
1. Scale AI
Labeled data to train AI applications. The platform leverages enterprise data to customize generative models. The data engine consists of tools and features to collect, curate and annotate data, and to evaluate and optimize models.
Key facts about Scale AI
- Founded Year: 2016
- Location: San Francisco (United States)
- Stage: Series G
- Total Funding till date: $15.9B
- Investors: Y Combinator, Tiger Global Management and 67 Others
- Latest Funding Round: Series G, Jun 12, 2025, $*****
- Tracxn Score: 75/100 What is this?
- Competitors Rank: 1 of 39 Competitors
2. KGeN
Operator of verified distribution protocol for AI gaming and DeFi users. The platform builds user identities and reputations through on-chain verification, gamified quests, and community engagement to enable targeted user acquisition, retention, and rewards. It supports AI training data labeling, model evaluation, loyalty programs, and e-commerce via the Proof of Gamer (PoG) engine. Users earn rKGEN tokens, participate in clans, and access leaderboards while businesses leverage verified user data for campaigns. The ecosystem focuses on real-user interactions across emerging markets.
Key facts about KGeN
3. Encord
Developer of a platform for managing, curating, and annotating AI data. The platform facilitates the transformation of unstructured multimodal data into high-quality data. It offers tools for data indexing, curation, annotation, alignment, and collaboration. The platform provides data management, data annotation, and model evaluation capabilities.
Key facts about Encord
- Founded Year: 2021
- Location: San Francisco (United States)
- Stage: Series C
- Total Funding till date: $110M
- Investors: CRV, Wellington and 10 Others
- Latest Funding Round: Series C, Dec 03, 2025, $*****
- Tracxn Score: 65/100 What is this?
- Competitors Rank: 1 of 136 Competitors
4. Superb AI
Provider of computer vision for training data management. It also provides computer vision platform to automates data labeling and preparation at scale, enabling organizations to build and iterate on datasets for AI model development. It offers a comprehensive suite of services, including data labeling, model training, and data curation, aimed at enhancing machine learning workflows.
Key facts about Superb AI
- Founded Year: 2018
- Location: Foster City (United States)
- Stage: Series C
- Total Funding till date: $39.3M
- Investors: Pegasus Tech Ventures, Korea Development Bank Europe and 18 Others
- Latest Funding Round: Grant (prize money), May 13, 2026, $*****
- Tracxn Score: 63/100 What is this?
- Competitors Rank: 2 of 148 Competitors

5. iMerit
AI based data annotation, model fine-tuning, and validation solutions. It offers data annotation for computer vision, audio, LiDAR, and sensor fusion. It provides services for generative AI, including RLHF, red teaming, alignment, and validation. It delivers tooling, workflow design, automation, and a skilled workforce for predictive AI applications. It accelerates AI development across various industries, including healthcare AI, autonomous mobility, and precision agriculture.
Key facts about iMerit
- Founded Year: 2012
- Location: San Jose (United States)
- Stage: Series B
- Total Funding till date: $24.3M
- Investors: British International Investment, Omidyar Network India and 5 Others
- Latest Funding Round: Series B, Dec 20, 2019, $*****
- Tracxn Score: 63/100 What is this?
- Competitors Rank: 3 of 39 Competitors