About supa

Purposeful AI for everyone, everywhere

We build infrastructure that drives AI development.

why we exist

People are the DNA of our business. This translates to us being people-focused; driving the way we build and grow our technology.

our vision

To see purposeful AI for everyone, everywhere

Purpose

To build great people and great tech

mission

To build infrastructure that drives AI development

our story

How we began and where we’re going

Our Beginnings

SUPA started back in 2014 in the personal concierge industry – helping people complete tasks. A few years (and many experiments) later, we found our niche in data labeling for machine learning.

our team

We're a 30+ team of big dreamers with a united vision to empower humans to work faster, smarter and more efficiently through purposeful AI.

Our investors

We are supported by 500 start ups, Iterative, Patamar Capital, Cradle and Axiata

human-centered design

We build and design by listening first, with a strong bias towards trying and failing fast.

principles that ground us

Courage, Empathy, Growth Mindset, Grit & Perserverance, Ownership.

our why

"We're here to build great tech and great people." – Mark Koh, CEO

Highlights

Key points that define SUPA's success

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1m
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
Projects Value

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

FAQ

Quick answers to common questions

How do I start a project with SUPA?

To start a project, fill out our contact form and tell us about your use case. We’ll schedule an initial consultation to understand your needs and tailor a solution just for you.

What do you do?

In a nutshell, data labeling for object detection, semantic segmentation, RLHF, classification, data curation and generative AI.

Do you have your own platform?

Yes! We have our own annotation platform for our clients and Project Managers to view tasks, review quality and manage workflows.  Our proprietary suite of AI tools incorporates the latest in foundational models and features like automated pre-annotation and our innovative 'Magic Wand' tool. 

how do you manage quality?

We provide rigorous training for our annotators for every project. We track quality with an automated Quality Scorecard paired with a stringent QC process.

How much do you charge?

Our Pay As You Go rates start from $0.07 per bounding box, $0.18 per polygon. Speak to us for volume-based rates and a fully-managed data labeling service.

Where is supa based?

We're based in Kuala Lumpur, Malaysia and Singapore. Our clients are leading machine learning teams from around the world, operating in industries like agriculture, healthcare and retail.

where are your annotators from and how do you recruit them?

Our annotators are from around Southeast Asia, South America and Africa. We have a stringent recruitment process that involves assessments, video interviews and more.

Do your fees include rework?

For rework that involves no deviation to the approved project guidelines, we correct the tasks with no additional charge. However, rework will be charged when new rules and changes to the agreed upon workflow are made.