The 12 closest competitors and alternatives to SuperAnnotate AI, Inc. among ai/ml companies — ranked by similarity to what SuperAnnotate AI, Inc. actually does, not by market-cap band.
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SuperAnnotate AI, Inc. provides a data annotation and management platform for creating and curating training data for machine-learning and artificial-intelligence models. It serves enterprises and AI teams, supporting annotation workflows for images, video, text, and other data types.
SuperAnnotate AI, Inc. is an ai/ml company headquartered in United States. Its most recent funding round, Series B, raised $13.5M in July 2025. Xcout tracks 7 named people at SuperAnnotate AI, Inc., including Vahan Petrosyan (Chief Executive Officer). Xcout recorded 5 job postings from SuperAnnotate AI, Inc. in the last 90 days, naming tools such as Databricks, ServiceNow.
1 more named person on record for SuperAnnotate AI, Inc., with roles, board committees and tenure — see the full roster →
Every round on record:
| Date | Round | Amount | Investors |
|---|---|---|---|
| Series B | $13.5M | 6 named | |
| SEC Form D filing | $7.5M | — | |
| SEC Form D filing | $24M | — | |
| Series B | $36M | 5 named | |
| SEC Form D filing | $7M | — |
Who invested in each round, lead investors, valuations and the co-investor graph — open the full funding history →
Xcout recorded 5 job postings from SuperAnnotate AI, Inc. in the last 90 days, from a hiring record Xcout has kept since August 2026.
The weekly hiring trend, the roles and locations behind it — see SuperAnnotate AI, Inc.'s hiring signals →
Ranked by semantic similarity — how close each company is to SuperAnnotate AI, Inc. by what it does, using Xcout's live company graph. Click any company for its full profile, or its competitor set.
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Lightly provides a computer vision suite and data curation platform designed to help machine learning teams manage datasets, pretrain models, and deploy AI applications. The company serves enterprises, researchers, and startups by offering tools for data labeling, self-supervised pretraining, and smart edge data collection.
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Kili Technology provides an enterprise data annotation and labeling platform that helps businesses build, manage, and scale datasets for artificial intelligence and machine learning models. The platform supports multiple data modalities—including video, images, text, OCR documents, and geospatial imagery—and offers features for workflow collaboration, workforce management, and enterprise-grade security.
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DataAnnotation provides a platform that connects subject matter experts and generalists with paid, remote projects focused on training and evaluating artificial intelligence models.
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Encord is an AI data development platform for computer vision and multimodal AI teams, founded in 2021. It provides a multimodal data layer for physical AI, enabling users to manage, curate, annotate, and align petabytes of data from sensor streams, video, and text.
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OpenTrain AI operates a talent network and platform that connects artificial intelligence companies with pre-vetted domain experts for tasks such as data labeling, RLHF, red teaming, and model evaluation.
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Wow AI provides end-to-end AI training solutions, including a self-hosted or cloud AI platform, customized data collection and labeling services, and ready-made datasets. The company serves organizations developing artificial intelligence projects by utilizing a global crowdsourcing network of contributors for data validation and reinforcement learning from human feedback (RLHF).
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Remotasks is a crowdsourcing platform operated by Scale AI that recruits and manages remote workers to perform data-labeling and other annotation tasks used to train and evaluate artificial-intelligence and machine-learning systems. It serves AI companies and research organizations that need human-generated labeled data, while providing contributors with online task-based work.
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HumanSignal is an AI data company formerly known as Heartex and the creator of Label Studio, an open-source platform for labeling and managing data used to train and evaluate machine-learning models. It serves AI/ML teams and enterprises working with text, images, audio, video, and other labeled datasets.
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Sieve provides curated multimodal data—including video, audio, images, and interaction datasets—to train and evaluate frontier artificial intelligence models. The company serves leading AI labs, Fortune 100 companies, and AI startups by sourcing, filtering, indexing, annotating, and securely delivering training-ready data.
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