Source information from Pangeanic

Pangeanic: “Pangeanic is a company based in Valencia, Spain, supplying multilingual and multimodal AI training and evaluation data, custom data collection, annotation, expert human feedback, and model alignment. Founded in 2000, it also develops language technologies, customizes small language models, and deploys sovereign AI systems for enterprises, AI labs, and public administrations.”

• What are AI Data Operations?

  “AI Data Operations is the continuous system for sourcing, licensing, preparing, annotating, evaluating, governing and improving the data and human feedback used across the AI lifecycle.”

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• How are AI Data Operations different from data annotation?

  “Annotation is one workflow within the system. AI Data Operations also covers data discovery, rights, collection, preparation, human feedback, evaluation sets, privacy controls, provenance, versioning and production feedback.”

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• Do we need an existing dataset before an engagement begins?

  “No. A program can begin with an existing corpus or with a model objective and a documented data gap. Pangeanic can identify, license or collect the missing material before preparing it for training or evaluation.”

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• Does the customer own the final dataset?

  “The answer depends on the rights attached to each component. The applicable position may be ownership, a perpetual license, a limited license or contractual access. Pangeanic documents that position before contracting and does not present licensed third party material as transferable property.”

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• How do AI Data Operations support multilingual systems?

  “They treat language, locale, dialect, terminology and cultural context as operating variables. Data specifications, native review and evaluation sets can therefore be designed separately for the markets and conditions in which the system will run.”

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