Have experts rate, rank, classify and comment on model outputs. Then get all this data in real time for active model training and evaluation.
Rank responses, compare pairs, use single or multi select checkboxes, trees, and free text. Build rubrics you can edit at any time.
Use our API or Python SDK to stream prompts and outputs for labeling, review, and eval.
Assign tasks to experts, gather judgments, and resolve conflicts seamlessly.
Compose tasks on a canvas with fields, editors, and rules that fit your project. Save and reuse your setups whenever you need.
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.
