All these tools Google AI , Labelbox , Scale AI offer flexible pricing models suitable for enterprises, telecommunications seeking AI-powered solutions to enhance their Infrastructure-as-a-Service (IaaS) efforts.
Google AI
Labelbox
- Labelbox services - Custom
- Software subscription - Custom
Scale AI
These AI tools are among the best Infrastructure-as-a-Service (IaaS) tools available in 2025. For enterprises, telecommunications, tools like Google AI , Labelbox , Scale AI help streamline the Infrastructure-as-a-Service (IaaS) process by offering AI-powered features.
What is Google AI?
Artificial intelligence is reshaping our world, and Google AI is a major player in this transformation. Known for its innovative approach, Google AI powers tools we use daily while exploring new frontiers in technology. Let’s dive into what Google AI is, its standout features, and its benefits and drawbacks.
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 Scale AI?
Scale AI helps AI technology-based development companies accelerate the development of AI products. Scale AI is responsible for providing high-quality training data for different kinds of AI applications, such as generative AI, self-driving cars, mapping, AR/VR, robotics. Scale AI provides two main product lines: the Scale Data Engine and the Scale Generative AI platform. The scale data engine improves the quality and efficiency of AI applications. It has features like image annotation, semantic segmentation, and LIDAR/RADAR annotation. The scale data engine provides tools for collecting, labeling, managing, and evaluating data for various AI projects. The Scale Generative AI platform helps organizations customize and use large language models (LLMs).
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Accuracy and Reliability:
4.9
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Cost-Efficiency:
5
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Customization and Flexibility:
4.6
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Data Privacy and Security:
4.6
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Ease of Use:
4.9
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Functionality and Features:
4.8
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Integration Capabilities:
4.7
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Performance and Speed:
4.6
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Support and Resources:
4.6
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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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No ratings found!
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.
Scale AI
The Scale AI platform's interface is user-friendly.
Top Efficiency and Speed.
Limited transparency in pricing.
Some users find the user interface (UI) needs improvement.
Not ideal for all project types.
If you're looking for other Infrastructure-as-a-Service (IaaS) tools for enterprises, telecommunications, you can also explore OpenStack, which are highly rated in 2025.
- United States
- Labelbox
- San Francisco, California
- Scale AI
- San Francisco, California, U.S