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README.md
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that run on premise, pipelines that hold up in production, and evaluations
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that state their limits.
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[LinkedIn](https://linkedin.com/company/aliac-ai) |
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[GitHub](https://github.com/aliac-ai) | contact@aliac.eu
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| Speech recognition | Compact speech models that run offline on a laptop CPU, for dictation and transcription |
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| Document intelligence | Parsing and field extraction for business documents, with page-level provenance, on premise |
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| Engineering surrogates | Graph neural networks and surrogate models that replace hour-long simulations with predictions in seconds |
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| Computer vision | Counting and tracking for warehouses and production lines |
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| MLOps | Reproducible training, verified data pipelines, and quantized deployment on cloud or on-premise hardware |
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## Open releases
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Our first open models are in preparation. Each will be published with a paper
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that documents its data, training protocol, and evaluation.
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## How we publish
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- Each model comes with a paper and a model card that state its data,
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protocol, and error rates with confidence intervals, including where it
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falls short.
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- Each model ships with a quantized build that runs without a GPU or a cloud
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account.
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- Each data source is listed with its licence. We publish only data we may
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redistribute.
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## Work with us
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Aliac adapts models to your domain and deploys them on your infrastructure.
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Most engagements start with a ten-day
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[AI Readiness Assessment](https://aliac.eu/assessment).
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<p align="center">
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<img src="https://huggingface.co/spaces/AliacAI/README/resolve/main/logo-light-theme.png" alt="Aliac" width="320" class="block dark:hidden">
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<img src="https://huggingface.co/spaces/AliacAI/README/resolve/main/logo-dark-theme.png" alt="Aliac" width="320" class="hidden dark:block">
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</p>
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AI engineering company based in Greece. We build machine learning systems for
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industrial use, usually deployed on the client's own hardware.
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Work areas: speech recognition, document processing, simulation surrogates,
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computer vision, and MLOps.
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Models will be released here with their papers.
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[aliac.eu](https://aliac.eu) |
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[contact@aliac.eu](mailto:contact@aliac.eu) |
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[GitHub](https://github.com/aliac-ai) |
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[LinkedIn](https://linkedin.com/company/aliac-ai)
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logo-dark-theme.png
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logo-light-theme.png
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