Empowering AI with Human Expertise

We enable machine learning teams to supercharge their AI models through the perfect blend of technology and expert human insight

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Our customers

We collaborate with machine learning teams worldwide across industries like healthcare, manufacturing, robotics and agriculture

use cases

Data labeling for diverse AI applications such as RLHF, LLM, Semantic, Classification, Curation and more

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Looking for domain experts to train and evaluate your models?

About Us

We enable machine learning teams to supercharge their AI models through the perfect blend of technology and expert human insight.

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Featured Clients

Trusted by machine learning
teams worldwide

selected Projects

Consistently exceeding benchmarks for precision and client satisfaction

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Annotation for global agritech company

SUPA scales high-quality annotation output during seasonal data surges by 170% for a global agritech company that manages over 200 million trees

problem

Aerobotics needed to handle fluctuating, large volumes of data with high-quality annotations and a 24-hour turnaround, requiring scalable and flexible workflows.

solution

SUPA’s infrastructure enabled Aerobotics to scale up to 170% in a week without building internal annotation capacity or compromising quality.

result

SUPA helped Aerobotics validate up to 200,000 tree annotations within 24 hours at 97% accuracy, ensuring year-round volume flexibility and dependable service since 2020.

200 million trees

18 countries

Agritech

Aerial Imagery

greyparrot.ai

Data labeling for autonomous vehicle training

Discover how SUPA's specialized data labeling services enhanced an autonomous driving company's models, achieving 95% accuracy

problem

The client needed to enhance their autonomous driving model's accuracy in interpreting vector spaces to meet safety standards and effectively navigate diverse environments.

solution

SUPA provided expert data labeling services, combining rigorous annotator training and human-machine collaboration, along with a dedicated quality control team to ensure high-quality, consistent data.

result

SUPA continues to deliver labeled data to the Client with 95% accuracy, significantly improving the client’s model predictions and meeting tight delivery timelines since 2022.

95% accuracy

Autonomous Vehicles

Computer Vision

greyparrot.ai

Data labeling for autonomous vehicle training

Advancing AI Waste Intelligence

SUPA's labeling infrastructure helped Greyparrot.ai, a global leader in AI waste intelligence, expand to 89 categories

problem

Greyparrot undertook the task of expanding its waste recognition library to encompass 89 categories, enabling a finer analysis of various waste streams.

solution

SUPA's technological infrastructure optimized the data labeling pipeline, slashing the startup time from 2-3 weeks to a mere 24 hours, all while maintaining stringent data quality standards.

result

Drawing upon SUPA's proficiency in data annotation, Greyparrot extended its waste recognition library from 49 to 89 categories; and it doesn’t stop there.

89 classes

Waste Intelligence

24-hour start-up time

greyparrot.ai

STEM Dataset

Bilingual Multimodal STEM Dataset — a curated collection of 500 Math and Physics questions in Malay and English, some enriched with relevant images.

problem

AI models often struggle with bilingual and multimodal STEM tasks due to a lack of high-quality, domain-specific datasets in languages like Malay and English.

solution

We created a curated dataset of 500 Math and Physics questions in Malay and English, complemented by a public leaderboard to benchmark AI model performance.

result

AI teams now have a reliable resource for fine-tuning and evaluating models on real-world STEM tasks, setting a new standard for bilingual and multimodal AI development.

500 high-quality Math and Physics questions

Evaluation Leaderboard

STEM-focused AI evaluation

greyparrot.ai

Highlights

The SUPA Advantage

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delivering data at scale

We deliver over 1 million data points every week

>95%

UNMATCHED ACCURACY & CONSISTENCY

We maintain over 95% accuracy across ongoing projects

8 years

proven expertise

We bring 8 years of proven expertise in data labeling and curation

Empowering AI with Human Expertise

Trusted by machine learningteams worldwide

Consistently exceeding benchmarks for precision and client satisfaction

Annotation for global agritech company

Data labeling for autonomous vehicle training

Advancing AI Waste Intelligence

STEM Dataset

The SUPA Advantage

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Looking for domain experts to train and evaluate your models?

Trusted by machine learning
teams worldwide

Find us on
Hugging Face
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