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Open-source data collaboration for AI
Argilla is a data curation for AI AI agent offering an open-source collaboration tool for building high-quality datasets for LLMs and NLP, now part of Hugging Face. Founded in 2021 and based in Madrid, Spain, Argilla helps AI engineers and domain experts automate data curation for AI work and get results faster.
Argilla takes text as input and produces datasets. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as AWS S3, Google Cloud Storage, Azure Blob and Hugging Face, so the agent works inside existing workflows.
Argilla is built for AI engineers and domain experts. It suits teams that want human feedback collection and dataset curation without adding headcount, while keeping people in control of review and final decisions.
Argilla is often compared with Label Studio. Argilla stands out for human feedback collection and LLM preference data. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
Pricing Model
Subscription
Starting Price
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Free Options
Free version, Free trial
Try Argilla with limited usage.
Argilla for individuals and growing teams. See argilla.io for current pricing.
Argilla for larger organizations with security and admin needs. Contact sales for a quote.
| Feature | Free | Pro Popular | Enterprise |
|---|---|---|---|
| Human feedback collection | , | ||
| Limited monthly usage | , | , | |
| Community support | , | , | |
| Dataset curation | , | , | |
| Higher usage limits | , | , | |
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| Email support | , | , | |
| Everything in Pro | , | , | |
| LLM preference data | , | , | |
| Hugging Face Hub integration | , | , | |
| SSO and admin controls | , | , | |
| Dedicated support | , | , |
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
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Complete data labeling suite for teams building real-world AI
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