SUPA – Generative AI labeling ‍with diverse human feedback

Supported solutions

See all use cases

A watercolour painting with a text input beneath it, the text input contains a description of the image.

IMAGE GENERATIVE AI

Enable the creation of new, realistic content. Learn more

Curation
Image Caption
Ranking
Sketch
AI Detection

Screenshot of UI where a user is able to drag and drop responses to rank them

LARGE LANGUAGE MODELS (LLM)

Human feedback to develop your language models. Learn more

RLHF
Model Evaluation
Expert Knowledge

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MODERATION

Keep your platforms and generative models safe. Learn more

Image Moderation
Video Moderation
Text Moderation

Screenshot showing an photo of an apartment, overlaid with colourful segmentations; depicts the room being segmented semantically

COMPUTER VISION

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

Object Detection
Model Validation
Classification

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.