SuperAnnotate for ML Researchers
Build Better Models — Not Annotation Pipelines
Streamline your data collection and feedback loops with one powerful, customizable platform.
Create custom annotation UIs in minutes
Automate QA and feedback loops
Integrate directly with your ML pipeline
Model performance depends on data—and your feedback loops
Waiting days for vendor data and using tools that aren’t built for your needs only slows you down. That’s not how GenAI leaders operate.
SuperAnnotate helps you build transparent golden dataset pipelines and structured evaluation flows from day one. Use the AI data operation platform purpose built to deliver you high-quality data faster and more efficiently - without building internal tools from scratch.
SuperAnnotate helps you build transparent golden dataset pipelines and structured evaluation flows from day one. Use the AI data operation platform purpose built to deliver you high-quality data faster and more efficiently - without building internal tools from scratch.
Build the datasets you actually need
From preference ranking to complex multi-stage pipelines, SuperAnnotate lets you tailor interfaces and workflows for any task.
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Stay in control, not in meetings
Skip the vendor calls. Assign, monitor, and adjust tasks in real time from one place—with instant feedback and QA.
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Version and benchmark with confidence
Use golden sets, test prompts, and LLM-assisted evaluation to ensure your data evolves with your models.
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Before & After
Without SuperAnnotate
Stuck with rigid labeling tools
Feedback takes days through email chains
Unclear dataset quality until delivery
Slow vendor iteration cycles
With SuperAnnotate
Build any annotation UI you need
Inline feedback and QA in-platform
Full transparency and insight throughout the project
Direct control over tasks and instructions
“Before deploying LLMs as judges, we used SuperAnnotate to create gold datasets. The feedback quality helped us fine-tune both prompts and model behavior.”
Get the high-quality data your models deserve
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