Empowering
AI Innovation

As China and the United States lead the global drive toward robust industrial development, small and medium enterprises (SMEs) worldwide serve as the cornerstone of national economies, contributing significantly to employment and innovation. However, in the global wave of digitalization and intelligentization, they often struggle to keep pace. Common challenges such as low operational efficiency, high labor costs, difficulties in talent acquisition and retention, and inadequate technology upgrades severely constrain the growth and competitiveness of SMEs.

Artificial intelligence technology, particularly the abundance of high-performance open-source AI models that have emerged in recent years, offers a beacon of hope for addressing these pain points. Compared to commercial AI products that require substantial investments or public cloud services that raise data security concerns, open-source AI provides greater flexibility and potential cost advantages. However, transforming these general-purpose models into secure and reliable private AI systems that can solve enterprise-specific problems requires professional technical capabilities and deep industry understanding. More importantly, SMEs often lack internal AI expertise, operations teams, and comprehensive data governance systems, making effective implementation and long-term maintenance of these systems a new challenge.

Neurathm was born in this context, focusing on providing end-to-end, highly customized private AI solutions for small and medium enterprises. We deeply understand the business characteristics and data security requirements of different industries, enabling us to design and implement secure and reliable private deployment solutions based on the most suitable open-source AI models, combined with enterprises' actual situations, ensuring that AI capabilities truly serve core business objectives.

We believe that only by deeply understanding industries and businesses can we build truly valuable and secure AI systems. We not only provide technical implementation but also help enterprises through professional services to address technology selection, data preparation, system integration, employee training, and long-term system maintenance, data governance, and responsible AI practices. This ensures that AI investments truly take root and align with enterprise values, transforming the potential of open-source AI into tangible business outcomes that drive sustainable growth and competitive advantage.