Sama Curate
Sama Curate is a data curation offering that uses filtering and curation algorithms to suggest which assets in a raw dataset should be labeled, so teams annotate only the data most likely to improve an ML model.
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No published pricing on the product page; sama.com/pricing returns HTTP 404 and the sitemap lists no pricing page. Sales-led 'Talk to an Expert' only.
What it does
- Data labelling
- Data analysis
Sources
- Pricing
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Official documentation · 5 Sep 2026
Fetched the page; no pricing disclosed.
- Description
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Official documentation · 5 Sep 2026
Page title 'Sama Curate | Data Curation Tools for AI & ML Models'; 'filtering and curation tools to ensure you only label the data most likely to improve your ML model'; algorithms 'interactively and accurately suggest which assets need to be labeled'.
- Sold within
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Official documentation · 5 Sep 2026
Page refers to 'the broader Sama platform' and lists Annotate, Validate and GenAI as sibling solutions.
Also from Sama
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Sama Platform Platform
Sama's data annotation and validation platform, combining annotation tooling, SamaAssure quality assurance, SamaHub project management and reporting, and SamaIQ analytics, with a REST API and CLI for pipeline integration.
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Sama Annotate Data service
Sama Annotate is Sama's enterprise data annotation offering, delivering image, video and 3D point cloud labeling through a full-time in-house annotation workforce working on the Sama Platform, with CLI and API access for automated data workflows.
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Sama Validate Data service
Sama Validate is a managed human-in-the-loop service in which trained reviewers inspect and correct a customer's model predictions across image, video and 3D point cloud data and report where the model performs well or poorly.
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Sama GenAI Data service
Sama GenAI supplies human-generated training and evaluation data for foundation models, covering model validation and fact checking, instruction following, preference ranking, image and video captioning, creative writing, synthetic data creation and RAG evaluation.
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