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  ---
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  title: README
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- emoji: πŸ“Š
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  # NXAI
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  **Efficient Industrial AI at the Edge**
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  ---
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- ## :rocket: Our Mission
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  At NXAI, we translate advanced AI research into market-ready, high-efficiency solutions for industrial and embedded systems. We bridge the gap between academia and industry, empowering sectors such as manufacturing, engineering, logistics and energy with scalable AI that truly delivers at the edge.
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  ---
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  ## What We Build
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  [![Paper](https://img.shields.io/badge/arxiv-xlstm-red)](https://arxiv.org/abs/2405.04517)
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  - **Foundation models for industrial data:** time-series, vision and multimodal.
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  - **Edge-ready deployments**: compact, low-power, real-time inference across embedded and cloud-edge environments.
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- - **Flagship model: TiRex** :t-rex: β€” a zero-shot forecasting foundation model (35 M parameters) built on xLSTM, tailored for time series in industrial settings.
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  [![Paper](https://img.shields.io/badge/arxiv-tirex-red)](https://arxiv.org/abs/2505.23719)
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  [![PyPI](https://img.shields.io/pypi/v/tirex-ts?color=blue)](https://pypi.org/project/tirex-ts/)
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  [![PyPI Downloads](https://static.pepy.tech/personalized-badge/tirex-ts?period=total&units=INTERNATIONAL_SYSTEM&left_color=GREY&right_color=GREEN&left_text=downloads)](https://pepy.tech/projects/tirex-ts)
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  - Industrial and enterprise partners looking to deploy efficient AI at scale
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  - Researchers and developers interested in xLSTM and efficient foundation models
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  - Open-source contributions β€” fork our repos, submit issues, suggest enhancements [![GitHub](https://img.shields.io/badge/GitHub-NXAI-black?logo=github)](https://github.com/NX-AI/)
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- :envelope_with_arrow: Contact: contact@nx-ai.com | LinkedIn: [NXAI](https://www.linkedin.com/company/nxai)
 
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  ---
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  title: README
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+ emoji: 🏒
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+ colorFrom: indigo
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  colorTo: blue
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  sdk: static
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  pinned: false
 
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  # NXAI
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  **Efficient Industrial AI at the Edge**
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  ---
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+ ## Our Mission
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  At NXAI, we translate advanced AI research into market-ready, high-efficiency solutions for industrial and embedded systems. We bridge the gap between academia and industry, empowering sectors such as manufacturing, engineering, logistics and energy with scalable AI that truly delivers at the edge.
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  ---
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  ## What We Build
 
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  [![Paper](https://img.shields.io/badge/arxiv-xlstm-red)](https://arxiv.org/abs/2405.04517)
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  - **Foundation models for industrial data:** time-series, vision and multimodal.
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  - **Edge-ready deployments**: compact, low-power, real-time inference across embedded and cloud-edge environments.
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+ - **Flagship model:** TiRex β€” a zero-shot forecasting foundation model (35 M parameters) built on xLSTM, tailored for time series in industrial settings.
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  [![Paper](https://img.shields.io/badge/arxiv-tirex-red)](https://arxiv.org/abs/2505.23719)
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  [![PyPI](https://img.shields.io/pypi/v/tirex-ts?color=blue)](https://pypi.org/project/tirex-ts/)
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  [![PyPI Downloads](https://static.pepy.tech/personalized-badge/tirex-ts?period=total&units=INTERNATIONAL_SYSTEM&left_color=GREY&right_color=GREEN&left_text=downloads)](https://pepy.tech/projects/tirex-ts)
 
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  - Industrial and enterprise partners looking to deploy efficient AI at scale
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  - Researchers and developers interested in xLSTM and efficient foundation models
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  - Open-source contributions β€” fork our repos, submit issues, suggest enhancements [![GitHub](https://img.shields.io/badge/GitHub-NXAI-black?logo=github)](https://github.com/NX-AI/)
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+ *contact:* contact@nx-ai.com | LinkedIn: [NXAI](https://www.linkedin.com/company/nxai)