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GENERATIVE AI LABELING
‍WITH DIVERSE HUMAN FEEDBACK

Outperform the pack with RLHF for Generative AI

Build user-centric AI with human knowledge,
intuition and learned experience


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TRUSTED BY MACHINE LEARNING TEAMS WORLDWIDE




SUPPORTED SOLUTIONS

See all use cases


IMAGE GENERATIVE AI

Enable the creation of new, realistic content. Learn more


 * Curation
 * Image Caption
 * Ranking
 * Sketch
 * AI Detection


LARGE LANGUAGE MODELS (LLM)

Human feedback to develop your language models. Learn more

 * RLHF
 * Model Evaluation
 * Expert Knowledge


MODERATION

Keep your platforms and generative models safe. Learn more

 * Image Moderation
 * Video Moderation
 * Text Moderation


COMPUTER VISION

Build the next generation of computer-vision AI. Learn more


 * Object Detection
 * Model Validation
 * Classification


THE SUPA ADVANTAGE

Delivering over 1 million data points every week

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QUALITY TRAINING

We teach, train and assess our annotators on a custom training platform. Quality
Scorecards are calculated weekly for each annotator.


CUSTOM ANNOTATION TEAMS

Gather domain-specific data with an annotation team curated specifically for
your use case. We match their experience to the level of expertise required for
your use case.


API-READY

Seamless data integration with your data pipeline. Integrate human feedback and
user input seamlessly into your training loop for model refinement.


DIVERSE WORKFORCE

Get unbiased human feedback that respects cultural nuances and preferences. We
provide multilingual capabilities, with expertise in Southeast Asian languages.


LIGHTNING-FAST TURNAROUND

Iterate models quickly and get closer to optimal performance before your
competitors.


BUILT-IN FEEDBACK LOOP

Fine-tune your model responses with RLHF through real-time model interactions.

reviews
Jonas Olausson
Data Engineer at Black.ai

Way easier than Amazon Sagemaker and Labelbox

The best interface for self-service labeling. Everything from uploading data to
seeing it labeled in real time was really cool. Very impressed with how the
platform delivered exactly the label quality we needed.

Sparsh Shankar
Associate ML Engineer at Sprinklr


Incredible turnaround

The annotators were really quick. Checked 5 minutes after uploading data - 100
images done.



Sravan Bhagavatula
Director of CV at Greyscale AI

Better iterations

Real-time view of the generated labels gave me instant feedback about the label
quality. No more waiting for the whole batch. This replaced my standard manual
QA process using external tools like Voxel's FiftyOne.


Puneet Garg
Head of Data Science at Carousell


High quality labels

SUPA has provided us with good quality judgments to train, tune, and validate
our Search & Recommendations models. Before this, it was difficult to scale our
labeling workflows.


Bryce Wilson
Data Engineer at Black.ai


Consistent support

What stands out is their commitment to providing consistent support throughout
the data labeling process. The team actively engaged with us to clear up any
ambiguity in the dataset including edge cases we didn't foresee.








UPDATES

November 7, 2023
Key Takeaways from OpenAI’s Dev Day!
November 6, 2023
What We Learned From Building AI Chatbots in 2023
October 30, 2023
Assuring Quality in Data Labeling


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