All these tools Labelbox , Alaya AI , Humans in the Loop offer flexible pricing models suitable for machine learning engineers, data scientists seeking AI-powered solutions to enhance their Data Labeling efforts.
Labelbox
- Labelbox services - Custom
- Software subscription - Custom
Alaya AI
- Premium - Custom
Humans in the Loop
These AI tools are among the best Data Labeling tools available in 2025. For machine learning engineers, data scientists, tools like Labelbox , Alaya AI , Humans in the Loop help streamline the Data Labeling process by offering AI-powered features.
What is Labelbox?
Labelbox, founded in 2018 by Manu Sharma, Brian Rieger, and Daniel Rasmuson, is a comprehensive data labeling and management platform designed to streamline the creation of high-quality training datasets for artificial intelligence and machine learning models. Labelbox empowers AI teams to build, operate, or staff their data factories with advanced tools, expert labeling services, and seamless integrations. Trusted by startups and Fortune 500 companies like Walmart, Pinterest, and Genentech, Labelbox supports diverse industries, including healthcare, retail, and autonomous driving.
What is Alaya AI?
Alaya AI utilizes advanced technologies such as Blockchain, swarm intelligence, and social commerce to enhance the management of AI training data. The Alaya AI app is available on the Google Play Store. Key features of Alaya AI include Data Collection and Annotation, Blockchain Integration for Data Security, Intelligent Recommendation Algorithms, and a Comprehensive Data Management Suite. Alaya AI benefits healthcare by improving patient care and efficiency, enhances e-commerce by boosting customer engagement and sales with personalized recommendations, optimizes manufacturing processes and quality control, and facilitates accurate risk assessment and fraud detection in finance.
What is Humans in the Loop?
Humans in the Loop specialize in dataset collection, annotation, real-time edge case handling, and reinforcement learning with human feedback. They also offer annotation services, including bounding box annotation, polygon annotation, keypoint annotation, semantic segmentation, and 3D annotation. They specialize in industries such as geospatial, automotive, medical, industrial, agricultural, and retail.
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Accuracy and Reliability:
4.8
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Customization and Flexibility:
4.5
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Data Privacy and Security:
4.7
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Ease of Use:
4.6
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Functionality and Features:
4.7
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Integration Capabilities:
4.8
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Performance and Speed:
4.5
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Support and Resources:
4.3
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Accuracy and Reliability:
4.8
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Cost-Efficiency:
4.6
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Customization and Flexibility:
4.8
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Data Privacy and Security:
4.7
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Ease of Use:
4.5
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Functionality and Features:
4.9
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Integration Capabilities:
4.4
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Performance and Speed:
4.6
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Support and Resources:
4.7
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Accuracy and Reliability:
4.9
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Cost-Efficiency:
4.8
-
Customization and Flexibility:
4.8
-
Data Privacy and Security:
4.7
-
Ease of Use:
4.6
-
Functionality and Features:
4.8
-
Integration Capabilities:
4.9
-
Performance and Speed:
4.5
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Support and Resources:
4.4
Labelbox
High-quality data annotation with model-assisted labeling.
Customizable workflows for tailored project needs.
Supports multiple data types (images
text
audio
video).
Seamless integrations with ML frameworks like TensorFlow and PyTorch.
Robust quality assurance tools like benchmark scoring and consensus.
Scalable cloud-native architecture for teams of all sizes.
Learning curve for complex workflows.
Pricing may be high for small teams.
Limited third-party integrations compared to some competitors.
Occasional performance lags during image loading or exports.
Alaya AI
Blockchain Integration
Gamification and Incentives
Scalable and Flexible
High-Quality Data
Complexity for New Users
Dependence on Token Economy
Technical Barriers
If you're looking for other Data Labeling tools for machine learning engineers, data scientists, you can also explore Scale AI, which are highly rated in 2025.
- Labelbox
- San Francisco, California
- Not Data Available!
- Humans in the Loop
- Sofia City