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We partner with machine learning innovators and domain experts to deliver AI-driven solutions for global challenges in industries like agriculture, manufacturing, healthcare and more.

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Our CUstomers

We work with machine learning teams around the world to build better AI

UI optimization of web and mobile screens for a design-to-code startup

SUPA leveraged an elite team of 12 UI experts to deliver a highly complex UI optimization curation project.

problem

A UI startup Client required a high quality of curation of optimized, responsive web and mobile screens to train their design-to-code design.

solution

SUPA curated a team of 12 elite UI designers to curate the highest quality wireframes.

result

The team successfully completed the curation dataset with the ability to scale curation to 4,000 designs per month.

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UI optimization of web and mobile screens for a design-to-code startup

Curation of medical imaging experts for thyroid ultrasound annotation

SUPA used a 12,000+ medical expert network to recruit 50 registered practitioners skilled in medical imaging interpretation.

problem

SUPA’s medical partners require medical specialists to annotate thyroid ultrasound images, many of which have limited available hours per day.

solution

SUPA leveraged its vast network of medical experts to attract, assess, and onboard qualified medical practitioners, managed through SUPA’s platform.

result

50 qualified experts were recruited within 14 days, with 800 additional practitioners on the waitlist to address surge demand.

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Curation of medical imaging experts for thyroid ultrasound annotation

Structural damage classification of civil structures for a global oil and gas conglomerate

SUPA's experts scaled client's data annotation, accurately annotating 12,000+ images to boost damage classification workflow.

problem

The Client required a specialised team to identify and assess damage of civil structures with a high accuracy of at least 90%.

solution

SUPA’s engineering experts collaborated closely with the Client by co-creating the annotation workflow and assembling a team of annotators experienced with engineering-related projects.

result

SUPA’s team of 25 annotators successfully delivered the annotations with a consistent >90% accuracy.

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Structural damage classification of civil structures for a global oil and gas conglomerate

How SUPA helped a Mobile App Design company classify mobile screen interfaces into 117 different categories

SUPA helped a mobile app design company scale their interface database 16x in 3 months with 90% accuracy, freeing resources for AI innovation.

problem

The Client needed to expand its mobile app screen and interface design database to 117 categories to train their AI model.

solution

SUPA’s highly-trained workforce and proprietary platform enabled a streamlined workflow that ensured consistent throughput while maintaining high-quality standards.

result

The Client expanded and scaled up their database by 16 times within 3 months.

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How SUPA helped a Mobile App Design company classify mobile screen interfaces into 117 different categories

Enhancing AR footwear try-on precision through high-quality segmentation

>99% accurate semantic segmentation data for ZERO10’s AR footwear try-on, enabling a precise, immersive user experience with rapid 5-week turnaround

problem

ZERO10 required enhanced precision in their footwear try-on models to deliver a more immersive and accurate AR user experience

solution

SUPA deployed its expert annotators, skilled in semantic segmentation, alongside its advanced labeling infrastructure, ensuring high-quality, scalable data annotation

result

ZERO10 successfully launched their advanced AR footwear try-on feature, powered by SUPA’s rapid delivery of segmentation datasets with >99% accuracy, enabling superior model performance and user experience

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Enhancing AR footwear try-on precision through high-quality segmentation

SUPA’s strategic use of graphic design experts for generative model excellence

SUPA leveraged domain-specific talent to source and label 600k stylized vector images, solving data diversity challenges

problem

The client struggled to source and label 600,000 diverse vector images for training a stylistically versatile GenAI model, hampered by inconsistent vendor quality.

solution

SUPA rapidly scaled domain-expert graphic designers to curate, label, and sketch assets via iterative workflows and ML-aligned quality checks.

result

SUPA delivered the dataset in three months with only 3.5% rework, enabling a 37% FID score improvement in the client’s AI model for style-diverse outputs.

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SUPA’s strategic use of graphic design experts for generative model excellence

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

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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

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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

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Data labeling for autonomous vehicle training

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

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What we do

We work with machine learning teams around the world to build better AI

UI optimization of web and mobile screens for a design-to-code startup

Curation of medical imaging experts for thyroid ultrasound annotation

Structural damage classification of civil structures for a global oil and gas conglomerate

How SUPA helped a Mobile App Design company classify mobile screen interfaces into 117 different categories

Enhancing AR footwear try-on precision through high-quality segmentation

SUPA’s strategic use of graphic design experts for generative model excellence

STEM Dataset

Advancing AI Waste Intelligence

Data labeling for autonomous vehicle training

Annotation for global agritech company

We're here to build great tech and great people.

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