NXAI

Efficient Industrial AI at the Edge

🚀 Our Mission

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.

⚙️ What We Build

• xLSTM architecture — our next-generation core technology, developed under the leadership of AI pioneer Sepp Hochreiter, delivering higher efficiency compared to transformer models.
• Foundation models for industrial data: time-series, vision and multimodal.
• Edge-ready deployments: compact, low-power, real-time inference across embedded and cloud-edge environments.
• TiRex 🦖 — a zero-shot forecasting foundation model (35 M parameters) built on xLSTM, tailored for time series in industrial settings.
• Flagship model TiRex-2 🦖 — the next-generation zero-shot forecasting foundation model (38.4 M active parameters, +44.1 M for multivariate mode) built on xLSTM, extending TiRex with native multivariate forecasting and past/future-known covariates.

📚 Publications & Resources

All papers, code and live demos for xLSTM, TiRex, Vision-LSTM, Bio-xLSTM and LRAM in one place: nx-ai.github.io/linktree

🔬 Collaborate With Us

We welcome:

• Industrial and enterprise partners looking to deploy efficient AI at scale
• Researchers and developers interested in xLSTM and efficient foundation models
• Open-source contributions — fork our repos, submit issues, suggest enhancements

📩 Contact: contact@nx-ai.com | LinkedIn: NXAI