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SUPA description
SUPA is a data labeling platform that uses human experts to improve the accuracy of artificial intelligence (AI). It helps businesses collect, sort, and label data for various AI applications, such as image recognition and language models. SUPA emphasizes fast turnaround times, a diverse workforce for unbiased feedback, and a user-friendly interface for easy integration. Their focus on quality control and custom solutions makes them suitable for businesses developing AI that need accurate data.
What companies are using SUPA?
Who is SUPA best for
SUPA is a versatile data labeling platform that improves the accuracy of AI applications. We find that SUPA is ideal for businesses needing fast turnaround times, unbiased feedback, and a user-friendly interface. With a focus on quality control and customized solutions, SUPA is well-equipped to handle diverse data needs.
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We find that SUPA is a great fit for businesses of all sizes, from small startups to large enterprises, who need reliable AI data.
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In our experience, SUPA is particularly beneficial for companies in the Retail, Manufacturing, and Software/IT/Telecommunications sectors.
SUPA features
Supported Data Labeling: Data labeling for object detection, semantic segmentation, RLHF, classification, data curation and generative AI. |
Supported High Accuracy: SUPA maintains over 95% accuracy across ongoing projects. |
Supported Data at Scale: SUPA delivers over 1 million data points every week. |
Supported Proven Expertise: SUPA brings 8 years of proven expertise in data labeling and curation. |
Supported Flexible Solutions: SUPA offers flexible solutions that adapt to various project needs and budgets. |
Supported Data Security: SUPA follows strict data security protocols to ensure client data is safe and protected. |
Supported Modern Tooling: SUPA utilizes modern tooling to ensure efficient workflow management, automation, and quality checks. |
Supported Global Reach: SUPA has offices in Kuala Lumpur, Malaysia, and Singapore and serves clients around the world. |
SUPA pricing
The commentary is based on 2 reviews from SUPA G2 reviews.
We find SUPA's pricing to be generally acceptable. While not the cheapest option, users feel the quality justifies the cost, making it suitable for startups and small companies seeking efficient AI assistance.
See the SUPA pricing page.
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SUPA has a free trial.
Pay as you go plan offers $50 free credit, access to trained annotators, powerful QA tools and labeling insights.
Provides volume-based rates, product customizations, fully-managed data labelling service, dedicated annotation managers, enterprise grade quality & throughput SLAs.
SUPA alternatives
SUPA FAQ
SUPA is a data labeling platform specializing in providing high-quality labeled data for AI applications. We find that they offer data labeling services for various AI needs, including image recognition and language models, with a focus on accuracy, speed, and flexible solutions. They cater to businesses of all sizes developing AI.
What is SUPA and what does SUPA do?
SUPA is a data labeling platform specializing in providing high-quality labeled data for AI applications. We find that they offer data labeling services for various AI needs, including image recognition and language models, with a focus on accuracy, speed, and flexible solutions. They cater to businesses of all sizes developing AI.
We haven't found any information about specific integrations for SUPA. It's worth noting that their user-friendly interface is designed for easy integration, suggesting potential compatibility with various tools. However, details on supported integrations aren't available.
How does SUPA integrate with other tools?
We haven't found any information about specific integrations for SUPA. It's worth noting that their user-friendly interface is designed for easy integration, suggesting potential compatibility with various tools. However, details on supported integrations aren't available.
We find that SUPA's main competitors include Appen, Labelbox, Amazon SageMaker, Sama, SuperAnnotate, and Sunix AI. These companies offer similar data labeling and AI training services.
What the main competitors of SUPA?
We find that SUPA's main competitors include Appen, Labelbox, Amazon SageMaker, Sama, SuperAnnotate, and Sunix AI. These companies offer similar data labeling and AI training services.
Yes, SUPA appears to be a legitimate data labeling platform. They offer flexible pricing, strong security measures, and have generally positive reviews. In our experience, their focus on quality control is a significant advantage.
Is SUPA legit?
Yes, SUPA appears to be a legitimate data labeling platform. They offer flexible pricing, strong security measures, and have generally positive reviews. In our experience, their focus on quality control is a significant advantage.
SUPA offers a pay-as-you-go plan with $50 free credit and no minimum spend. For larger organizations, they have an Enterprise plan with custom, volume-based pricing. Contact SUPA directly for a personalized Enterprise quote.
How much does SUPA cost?
SUPA offers a pay-as-you-go plan with $50 free credit and no minimum spend. For larger organizations, they have an Enterprise plan with custom, volume-based pricing. Contact SUPA directly for a personalized Enterprise quote.
We find that SUPA's customer service is highly regarded. Users praise their responsiveness, communication, and willingness to adapt to specific project needs. The personalized support and quick turnaround times contribute to a positive overall experience.
Is SUPA customer service good?
We find that SUPA's customer service is highly regarded. Users praise their responsiveness, communication, and willingness to adapt to specific project needs. The personalized support and quick turnaround times contribute to a positive overall experience.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.
An AI tool that observes your work, finds inefficiencies, and suggests smarter ways to do things. Maybe you can use your tools better, automate tasks, or switch software.