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| title: Egomnia |
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| <p align="center"><img src="https://cdn-uploads.huggingface.co/production/uploads/69fc6fca21463b1d489d4a90/G2DpgB_Iba7be5fGJWHtX.jpeg" style="width:100%; object-fit:cover; object-position:center;" /></p> |
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| **Egomnia S.p.A.** is an Italian publicly listed technology company listed on the Euronext Growth Milan market of the Milan Stock Exchange. |
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| We operate in the field of Artificial Intelligence, with a strong focus on the development of Large Language Models, AI agents, and enterprise-grade machine learning systems. Our mission is to contribute to the creation of advanced, scalable, and language-aware AI technologies, with a particular emphasis on the Italian linguistic and business ecosystem. |
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| Egomnia is actively involved in the research and development of: |
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| - Large Language Models (LLMs) |
| - Agentic AI systems and autonomous agents |
| - AI orchestration |
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| ## About Emma LLM |
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| The **Emma** family represents Egomnia’s core initiative in foundation models. |
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| Emma models are: |
| - Trained from scratch on large-scale Italian-centric corpora |
| - Optimized for Italian language understanding and generation |
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| 🔗 https://emma.egomnia.com |
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| ## Datasets and Training Resources |
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| To support the open and research community, Egomnia publishes selected portions of its internal datasets, including: |
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| - Pretraining datasets (partial releases) |
| - Supervised Fine-Tuning (SFT) datasets |
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| These resources are intended to support reproducibility, research, and experimentation in the field of language modeling. |
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| Complete dataset packages, including extended and commercial-grade versions, are available through our AI platform: |
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| 🔗 https://ai.egomnia.com/store |
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| ## Research and Vision |
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| Our long-term vision is to build a robust ecosystem of Italian-native AI technologies capable of supporting: |
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| - Digital transformation of italian enterprises |
| - Strengthening technological sovereignty in the field of artificial intelligence |
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| ## Links |
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| - Website: https://www.egomnia.com |
| - Emma Models: https://emma.egomnia.com |
| - AI Platform: https://ai.egomnia.com |
| - Dataset Store: https://ai.egomnia.com/store |
