Data labeling at the speed of thought

Go from idea to labeled data in minutes—no specs, no handoffs, just a custom annotation interface powered by natural language and instantly deployable to your team or our expert workforce. Built for any modality, any language. 

The data annotation platform behind the world’s best models

We’ve trained >80% of the world’s top AI models. Now, we’ll make them work for you.

what makes us different

Precision,
embedded
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Built for Data Teams by Data Teams

Working with frontline AI labs, we know research moves fast - so do we. Built to handle “fuzzy” asks and rapidly refine them into well-scoped data tasks, Invisible’s Data Annotation Platform adapts to evolving requirements that help you iterate without losing momentum.

Flexible Human-AI Collaboration, Built In

Connect instantly to domain-trained human annotators or AI agents—whether from our expert marketplace or your own team. Invisible flexes to fit your talent model.

Real-Time, Ready to Go

Skip the back-and-forth. See live previews, make instant edits, and launch your annotation interface in minutes, fully tailored to your task and schema.

Case study

We get results
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From zero to labeled data in 4 days: How Invisible delivered a high-stakes pilot for a leading AI lab

A top-tier AI research company urgently needed to evaluate the quality of potential data labeling partners through a high-stakes pilot. The challenge? The team had less than 24 hours to spin up a structured annotation workflow involving code-based tasks and an auditable backend—all while avoiding the pitfalls of legacy tools like spreadsheets.

Invisible responded by building and deploying a fully functional annotation interface and backend task management system in just 14 hours. Invisible sourced and deployed 50+ human trainers from our expert marketplace to deliver high-quality campaign data in 4 days, enabling the client to assess labeling quality with clarity, speed, and confidence. The result was a fast, flexible, and high-quality data labeling experience—without writing a single spec.

14
Hours to develop backend task management system
50+
Trainers integrated into workflow
4
Days from first phone call to delivered pilot