NEEAI

About Us

Innovative technology company focused on open-source large model technology implementation

NEEAI is an innovative technology company specializing in the implementation of open-source large language model technologies. We are committed to providing enterprises with full-cycle technical support services from LLM platform selection to AI intelligent application construction. With "transparency, autonomy, and sustainability" as our core philosophy, we help enterprises overcome reliance on black-box AI systems and truly master the construction and operation capabilities of large model platforms.

Our clients span multiple industries including manufacturing, finance, government affairs, and energy. Many enterprises have achieved intelligent knowledge management, automated business processes, and improved decision-making efficiency through our technical solutions. In the future, NEEAI will continue to deepen its focus on the open-source large model ecosystem and build a trustworthy enterprise-level AI infrastructure service platform.

Mission and Vision

Make AI Transparent, Controllable & Sustainable

Making AI more transparent, controllable, and sustainable

  • We believe that true intelligence is not "magic" hidden in a black box, but rather a technical capability that can be understood, controlled, and continuously evolved.
  • Through deep adaptation to domestic environments, open and auditable technical approaches, and modular and scalable architecture design, we help enterprises build their own AI intelligence centers under the premise of safety and compliance.
  • Our goal is to enable every enterprise to independently construct, operate, and iterate their own AI platforms just like building information systems.

Rooted in the Open-Source Large Model Ecosystem, Focused on Enterprise-Level AI Implementation

Challenges Faced

  • In today's rapid development of large model technology, most enterprises face the dilemma of "seeing the technology but unable to implement it in business": powerful models but difficult deployment, cool applications but uncontrollable, and short-term effects with difficult maintenance.

Our Approach

  • We don't chase short-term trends or provide closed "one-click AI" solutions, but instead focus on:
  • Engineering implementation of open-source LLM platforms
  • Deep adaptation to domestic software and hardware environments
  • Seamless integration of enterprise knowledge and business systems
  • Scenario-based development and continuous optimization of AI Agents

Based on in-depth understanding of mainstream open-source frameworks such as Dify, FastGPT, vLLM, and Xinference, combined with years of enterprise-level system integration experience, we have formed a standardized, replicable, and evolvable technical implementation methodology to help clients achieve a smooth transition from PoC to production launch.

Based on in-depth understanding of mainstream open-source frameworks such as Dify, FastGPT, vLLM, and Xinference, combined with years of enterprise-level system integration experience, we have formed a standardized, replicable, and evolvable technical implementation methodology to help clients achieve a smooth transition from PoC to production launch.

Creating Measurable Business Value

We firmly believe that the value of AI lies not in parameter scale, but in whether it can solve real problems. For every project, we start from specific business scenarios—whether it's automated ticket processing, intelligent report generation, knowledge base Q&A, or CRM information extraction—we are results-oriented and speak with data:

Response efficiency improvement of 70%+
Manual intervention reduction of 60%+
Knowledge utilization doubled
Technology serves business—we don't do "technology shows", only "results-oriented" work.

Promoting AI Technology Equalization

AI should not be a privilege for a few, but a basic capability for every organization.

  • We insist on adopting open-source and auditable technology stacks, rejecting black-box packaging,
  • Providing complete technical documentation, deployment manuals, and training support,
  • Empowering enterprise IT teams and developers to "teach people to fish".
We hope that through our services, more enterprises can not only "use AI" but also "understand AI, control AI, and develop AI".

Building a Secure and Trustworthy Intelligent Future

Facing increasingly stringent compliance requirements and data security challenges, we attach great importance to domestic alternatives and innovation adaptation capabilities:

Comprehensive support for domestic operating systems such as Kylin and UnionTech UOS
Adaptation to mainstream CPU architectures such as Phytium, Kunpeng, and Loongson
Providing security mechanisms such as private deployment, offline operation, and permission auditing
In an era where data sovereignty is paramount, we help enterprises maintain the "security bottom line" of AI implementation.

NEEAI 正为此而生