Chat with your model, label each message, then repair incorrect steps in reasoning. Turn dialogues into datasets for training and evaluation.
Hook up an off-the-shelf model or your self-hosted one. Stream conversations for labeling, QA, and evals.
Create rubrics for single turns or whole dialogues. Update as needs evolve and keep work in sync.
Identify incorrect reasoning, rewrite specific steps, and create gold traces your teams can trust.
Use plugins to deliver labels and rewritten traces in exactly the structure your training pipeline expects.
Build and adjust your entire data project workflow without code, end-to-end, even while it's running.
Deploy in your own environment for full control of data and workflows, from ingestion to export.
Leave comments on any region, frame, or message and collaborate with QA until resolved.
Add formats, integrations, or an ML model with a Python-based Ango plugin. Build the features you need, fast.
Human-guided suggestions accelerate work while keeping quality and oversight high.
Run custom validation code when work is submitted. Enforce rules and stop bad data from moving forward.
Create projects, add assets, query stats, and export annotations, all from code. Clean REST endpoints and a Python SDK that stays out of your way. All HIPAA, SOC II, and GDPR compliant.
Deploy Ango Hub on your own infrastructure, and run it completely air-gapped. Or run it on your own AWS, GCP, or Azure remote servers.
Receive events the moment they happen, such as asset created, label updated, or review passed. Then wire them into your training loop for rapid, active learning.
On all deployment versions of Ango Hub, your data is always encrypted, in rest and in transit, using the latest industry standards.
