Quick Start
Upload a dataset and start collecting labels in under 10 minutes. Get started →
HiveGuard
Every user visit labels your training data. No annotation platform. No crowdsourcing budget. Just your existing traffic.
What is HiveGuard?
HiveGuard is a self-hosted reverse proxy that turns normal web traffic into labeled ML training data. It intercepts incoming requests and presents each visitor with a short labeling task drawn from your dataset. The visitor answers it — verifying they’re human in the process — and their answer becomes a training label. You get annotated data from traffic that was already happening.
No annotation platform subscription. No separate crowdsourcing budget. No idle queue waiting for workers. Your users are the pipeline.
Upload Your Dataset
Bring images, text snippets, or audio clips. HiveGuard handles the rest. How to upload →
Export Labels
Download finalized labels as CSV, JSON, or JSONL whenever you need them. Exporting labels →
How It Works
Understand the labeling loop, consensus engine, and re-validation. Learn more →