Pricing score

8

Supa Pricing Profile

Supa is designed to enhance the data labeling process, leveraging advanced artificial intelligence to streamline and automate the tagging of data sets.

Key Takeaways

Automated Data Labeling

Utilizes generative AI to streamline and automate the tagging of data sets, enhancing efficiency.

Versatile Data Support

Capable of labeling various data types, including text, images, and audio, with high accuracy.

Customizable Labeling Options

Allows teams to define specific labeling criteria and standards tailored to their unique project needs.

Product Overview

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Supa is particularly beneficial for organizations that require large volumes of labeled data for machine learning and artificial intelligence projects.

The product uses generative AI models to analyze and label various types of data, including text, images, and audio, with high accuracy and speed. By automating repetitive labeling tasks, Supa helps reduce manual effort, minimize human error, and accelerate project timelines.

Key features include intuitive interfaces for easy data management, real-time collaboration tools, and integration capabilities with existing workflows and data pipelines. Additionally, the product provides customizable labeling options, allowing teams to define specific criteria and standards tailored to their projects.

INSIGHTS

Our insights about Supa pricing

01

Pay as you go rates

02

No hidden fees

03

No free trial or plan

Available Pricing Models

How much does Supa cost?

Supa offers a straightforward pricing model based on the number of labels processed or data volume.

Vector annotations

  • $0.07 per bounding box.
  • $0.18 per polygon $0.05 for no annotations.

Pre-labels validation

  • $0.05 per bounding box.
  • $0.13 per polygon $0.05 for no annotations.

Image classification

  • $0.05 first class.
  • $0.03 subsequent classes.

What users say about Supa pricing

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Dmitrii L.

Nothing, really. The price is not lowest, but it's ok given the quality.

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Verified User in Information Technology and Services

Lack of accuracy at times. It is important to double check your work after the system spits you out a result.

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Benji M.

At times the timezone was a challenge, particularly in communicating with management, but overall the experience and service made up for this.

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Verified User in Retail

I especially liked that we got assigned someone from SUPA to help throughout our annotation journey. They are very accommodating and super fast with no errors. My team and I will definitely be using SUPA again.

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Martin A.

They are able to handle our very niche data. We have worked with SUPA for several years and they have been able to quicly adapt to our requirements.

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Dmitrii L.

Nothing, really. The price is not lowest, but it's ok given the quality.

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Verified User in Retail

I especially liked that we got assigned someone from SUPA to help throughout our annotation journey. They are very accommodating and super fast with no errors. My team and I will definitely be using SUPA again.

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Verified User in Information Technology and Services

Lack of accuracy at times. It is important to double check your work after the system spits you out a result.

avatar

Martin A.

They are able to handle our very niche data. We have worked with SUPA for several years and they have been able to quicly adapt to our requirements.

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Benji M.

At times the timezone was a challenge, particularly in communicating with management, but overall the experience and service made up for this.

Supa Pricing Rating

Real-Time Collaboration: 4.7/5

Includes tools for teams to collaborate in real-time, facilitating better communication and workflow.

Integrations: 4.5/5

Seamlessly integrates with existing workflows and data pipelines, enhancing overall productivity.

Automation: 4.4/5

Minimizes the need for manual labeling, decreasing human error and accelerating project timelines.

FAQ on Supa Pricing

What types of data can be labeled?

The product supports labeling for text, images, and audio, making it versatile for different AI projects.

How does the automation process work?

The generative AI analyzes data and applies predefined labeling criteria, significantly reducing the need for manual intervention.

Can teams customize the labeling criteria?

Yes, users can define specific labeling standards tailored to their project needs, ensuring relevance and accuracy.

Is there a collaborative feature?

Yes, the platform includes real-time collaboration tools, allowing teams to work together efficiently and communicate effectively.