Scale AI
4.73
0
Scale AI provides high-quality data labeling services for training machine learning models in various industries.
Scale AI Reviews
4.73
Based on 11 reviews
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Santiago Gonzalez
March 2, 2025
What do you like most about using Scale AI?
The speed at which they can deliver labeled data is remarkable, allowing us to keep pace with our rapid development cycles.
What do you dislike most about using Scale AI?
I wish there were more flexible pricing options for smaller teams. It's a great service but can be cost-prohibitive.
What problems does Scale AI help you solve, and how does this benefit you?
Scale AI has been instrumental in providing the large datasets we need for training our AI models, which has improved our product's accuracy and performance.
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Tariq El-Amin
March 1, 2025
What do you like most about using Scale AI?
The diversity of data types they handle is excellent. From images to text, Scale AI manages it all, which is essential for our multi-modal projects.
What do you dislike most about using Scale AI?
I found the initial setup to be a bit complex. A more user-friendly onboarding process would be beneficial.
What problems does Scale AI help you solve, and how does this benefit you?
Scale AI effectively solves our need for diverse labeled data, which is essential for the robustness of our AI applications in robotics.
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Ravi Nair
February 28, 2025
What do you like most about using Scale AI?
Their ability to handle large volumes of data is impressive. We can rely on them for our extensive data labeling needs.
What do you dislike most about using Scale AI?
While the service is excellent, the cost can add up quickly for extensive projects.
What problems does Scale AI help you solve, and how does this benefit you?
Scale AI provides us with high-quality labeled data at scale, which is vital for training our AI models effectively and efficiently.
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Amara Diop
February 25, 2025
What do you like most about using Scale AI?
I appreciate their blend of AI and human input for labeling. It ensures a high level of accuracy, which is crucial for our projects in e-commerce.
What do you dislike most about using Scale AI?
The interface can be a bit overwhelming at first, but once you get used to it, it's very functional.
What problems does Scale AI help you solve, and how does this benefit you?
Scale AI provides the precise data we need to train our algorithms effectively, allowing us to enhance customer personalization on our platform.
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Kai Wang
February 18, 2025
What do you like most about using Scale AI?
The quality of the data labeling is exceptional. Scale AI provides highly accurate annotations that have significantly improved our machine learning model's performance.
What do you dislike most about using Scale AI?
Sometimes the turnaround time can be longer than expected, especially for larger projects. However, the quality always compensates for the wait.
What problems does Scale AI help you solve, and how does this benefit you?
Scale AI helps us solve the challenge of obtaining high-quality labeled data quickly. This benefit allows us to deploy our AI applications faster and with more confidence in their accuracy.
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Nia Kumar
February 10, 2025
What do you like most about using Scale AI?
Their customer support is outstanding. They are always available to help with any issues or questions we have during the labeling process.
What do you dislike most about using Scale AI?
Occasionally, the quality of annotations may vary slightly, but the support team is quick to address any inconsistencies.
What problems does Scale AI help you solve, and how does this benefit you?
Scale AI solves our data labeling bottleneck, allowing us to focus on developing our AI models rather than getting stuck in the data preparation phase.
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Leila Fahd
February 2, 2025
What do you like most about using Scale AI?
I love their commitment to data quality. The annotations we receive are consistently accurate and reliable.
What do you dislike most about using Scale AI?
The platform's user interface can be a bit daunting for new users. A more intuitive design would enhance the experience.
What problems does Scale AI help you solve, and how does this benefit you?
Scale AI simplifies the data labeling process, which is a significant time-saver for our development team, allowing us to focus on refining our models.
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Yuki Tanaka
January 29, 2025
What do you like most about using Scale AI?
The integration of AI with human feedback is impressive. It ensures that our training data is of the highest quality, which is vital for our AI models.
What do you dislike most about using Scale AI?
At times, the platform can feel a bit slow when processing large batches, but it's generally reliable.
What problems does Scale AI help you solve, and how does this benefit you?
Scale AI helps us streamline our data labeling process, significantly reducing the time to market for our AI-driven applications.
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Liam O'Sullivan
January 26, 2025
What do you like most about using Scale AI?
The scalability of their services is impressive. We can ramp up our data needs as our projects grow without compromising on quality.
What do you dislike most about using Scale AI?
The pricing can be a bit steep for smaller projects, which might limit access for startups.
What problems does Scale AI help you solve, and how does this benefit you?
Scale AI helps us efficiently label large datasets, which is crucial for training our autonomous systems. This has greatly accelerated our development cycle.
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Nadia Hammadi
January 18, 2025
What do you like most about using Scale AI?
The accuracy of their annotations is a game-changer for our machine learning initiatives. It gives us confidence in the data we use.
What do you dislike most about using Scale AI?
I wish they offered more detailed analytics on the labeling process to track progress better.
What problems does Scale AI help you solve, and how does this benefit you?
Scale AI enables us to overcome the challenge of obtaining reliable labeled data, which significantly enhances our model training capabilities.
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Omar Al-Mansoori
January 16, 2025
What do you like most about using Scale AI?
The combination of AI and human annotators ensures the highest quality data. This is critical for our machine learning projects in healthcare.
What do you dislike most about using Scale AI?
Sometimes, their billing can be a bit confusing, especially with multiple projects running at once.
What problems does Scale AI help you solve, and how does this benefit you?
Scale AI helps us acquire the labeled data we need to train our AI systems, which has greatly enhanced the effectiveness of our healthcare solutions.
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