SuperAnnotate | Bringing Human Intelligence to AI

Turn Expert Knowledge into AI-Ready Datasets

Label multimodal data and feed it directly into AI development workflows - all in one place. Run better, faster model training, fine-tuning, and evaluation.

Unlock Proprietary Data

Use custom multimodal annotation forms to transform your domain data from static information into a powerful competitive advantage.

Ensure Data Quality

Set up custom, multi-layer annotation workflows and expert review cycles to drive higher model precision.

Fuel AI Flywheels

Create feedback-driven iteration with human review and models in the loop, for the complete AI development lifecycle.

From SFT to Agents

Whether you’re refining RLHF pipelines, orchestrating multi-step RAG processes, or evaluating advanced agents, SuperAnnotate adapts to your workflow—no matter how cutting-edge.

RLHF

Build large-scale preference datasets

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SFT

Fine-tuning datasets with your data

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Agents

Review every choice your agents make

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RAG

Ensure your RAG systems performance

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Evaluation

Understand your models in depth

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Testimonials

Hear it from our customers

"We reviewed several companies and selected SuperAnnotate due to the high quality of their data. They stand out for their data quality, attention to detail, and fantastic communication. They are an invaluable part of our data pipeline. I don’t see them as a vendor, I see them as a partner."

Jonathan Frankle

Chief Neural Network Scientist at Databricks

"By using SuperAnnotate’s data labeling tools alongside Databricks’ extensive data processing capabilities, we’ve really streamlined how we create and refine our training datasets. This means we can deliver sharp and contextually relevant advertising to our clients with greater precision."

Iris Fu

Director of AI Engineering at GumGum

”SuperAnnotate has been an invaluable partner in creating the golden datasets needed to benchmark our models and in enabling us to craft high-quality prompts and instructions for our LLM Judges.”

Quinn Leng

Sr. Software Engineer, ML Training at Databricks

Definitely the best team of annotators I’ve seen and the platform is easy to manage. The quality is really high and consistent.”

Joseph Martorana

Data Annotation Lead at Hinge Health

SuperAnnotate’s platform is incredibly robust and easy-to-use. Their Data Operations team is very thorough, proactive, easy to engage, and acts as a valuable extension of Motorola Solutions’ data operations.”

Jason Lohner

Senior AI Data Manager at Motorola Solutions

SuperAnnotate has allowed us to cut over 60% off annotation cycle time. Finding annotation teams was super easy, and because they are all trained on SuperAnnotate, they are able to deliver more accurate annotations much faster than before.”

Ovadya Menadeva

Head of AI & Vision at Percepto

“Two years ago, our team consisted of four people who were doing a thousand images over two months. Our data scientist is doing the same amount of work today in just one week. So, if I take 4x8, we get effectively nearly 32x faster.”

Geoffrey Shmigelsky

CTO at OneCup AI

“The fact that SuperAnnnotate had a local dedicated team of professionals sped up the annotation performance and improved the quality of instrument annotations. That, combined with our local QA team, made a combination of 1+1 makes 3.”