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    NXAI

    European AI research and development company specializing in industrial applications and xLSTM-based foundation models.

    ATAustria
    Headquarters
    🇦🇹Austria
    Data Hosting
    EU-based
    Structure
    Independent
    Compliance
    â–£GDPRâ—†EU HQâ–¦EU Data

    NXAI key facts

    Last updated
    Legal entity
    NXAI GmbH (inferred from common Austrian entity naming)
    Headquarters
    Austria (AT)
    Ownership
    Independent
    Deployment
    SaaS
    Open source
    No
    US Cloud Act exposure
    Low (no US parent)
    Replaces
    Google TimesFM, Amazon Chronos AI, OpenAI GPT-4 (for sequence analysis)

    About NXAI

    NXAI is a Linz-based AI company dedicated to bridging the gap between high-level research and industrial application. Founded with the expertise of Sepp Hochreiter, the inventor of LSTM, the company focuses on the next generation of sequence modeling through its proprietary xLSTM (extended LSTM) architecture. This technology addresses the limitations of traditional Transformers in industrial contexts, providing better scalability and memory efficiency for long-sequence data. The company's flagship product, TiRex, is a revolutionary time-series foundation model designed to 'speak the language of machines.' It excels in zero-shot forecasting and classification across various sectors, including manufacturing, energy, and medicine. By offering high accuracy with fewer parameters than US-based competitors, NXAI positions itself as a sovereign European alternative for mission-critical industrial AI, enabling deployment from large-scale cloud environments down to edge-level industrial controllers.

    Alternative to

    Target Segments

    EnterpriseSMB

    Deployment Options

    SaaS

    Key Features

    xLSTM architecture for sequence modeling
    TiRex zero-shot time series foundation model
    Industrial time series forecasting and classification
    Edge deployment on PLCs and industrial PCs
    Open-weight model availability via Hugging Face and GitHub
    Domain-specific model variants for digital twins
    Support for robotics and process control optimization

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