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Pangeanic

AI Training Data, Model Alignment & Sovereign AI | Pangeanic

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36.4K
Added
Jul 27 2024

About Pangeanic

Pangeanic supplies licensed datasets, custom data collection, annotation, and expert feedback for AI training and evaluation across languages and modalities. It also customizes smaller language models and delivers adaptive translation and sovereign AI systems for enterprises, AI labs, and public administrations.

Pangeanic describes four operational layers—data, alignment, models and workflows—that together form sovereign multilingual AI systems. It emphasizes trusted data, human feedback, task-specific language models and secure enterprise workflows for evaluating and deploying AI under organizational control.

The tool highlights data for AI, evaluation and alignment, and private architectures for sensitive environments. It presents a progression from data sourcing and annotation to model evaluation and governance, with a focus on multilingual and multimodal data across text, speech, images and video.

It outlines platforms and integrations such as the ECO Intelligence Platform, private cloud, on‑premises, air‑gapped options and secure enterprise AI workflows, aiming to provide controlled deployment, knowledge grounding and multilingual capabilities within enterprise settings.

Use cases

  • Data for AI: Training and evaluation data built around your model requirements
  • Sovereign AI: Deploy AI under your own control with private cloud and on‑premises

Key features

  • Deep Adaptive MT
  • Anonymization
  • Text Classification
  • Named Entity Recognition
  • Sentiment Analysis
  • Summarization

Pros and cons

Pros

Allows private cloud, on-premises and air-gapped deployments

Reviews

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Frequently asked questions

What NLP tasks does Pangeanic cover?
NLP has many applications, including: text classification, sentiment analysis, machine translation, question answering, redaction (anonymization), summarization, etc.
What deployment options are available for Pangeanic’s platform?
The platform supports private cloud, on premises and controlled infrastructure deployments.

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