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smart-city-siteIndustry NewsBorn for the landing of production grade AI, Shenxin releases a series of new production grade AI products with great confidence

Smart CityOnline product review】At present, the three major trends in the evolution of AI cannot be ignored: AI has moved from the individual level to the production level, the explosive growth of the number of agents, and self construction and self-development are the inevitable choices for AI.

However, as enterprises adapt to the trend of AI and attempt to enter production level environments, some "real problems" that have been implemented become increasingly prominent: difficulty in ensuring agent effectiveness, high investment in AI infrastructure, severe AI security challenges, and so on.
Based on the above insights, we are making a significant announcement todaySeries of production grade AI new products, coveringEnterprise Agent "Build Load Protect" full lifecycleCommitted to helping more enterprises truly enter the era of production grade AI.

  In the Agent construction layer
  Tailored production level agent construction tools for different job roles, comprehensively reducing the threshold for AI application development.
  SF FastGPT (FastGPT Business Edition)It is a low code AI application construction platform specially designed for enterprise level users, which is a deep cooperation between Shenxin and the open-source platform FastGPT. It combines the "top-level AI application innovation capabilities" of both parties with "profound and inclusive enterprise level AI performance optimization experience". The platform not only provides powerful RAG capabilities, but also offers out of the box Agent construction, application evaluation, and enterprise level platform management capabilities, truly bridging the entire process loop from development to operation and maintenance.
It is worth noting that Shenxin's self-developed knowledge parsing algorithm deeply optimizes document parsing for complex scenarios, providing high-quality knowledge sources for enterprise agent construction; By innovating our self-developed self-learning engine, we can automatically learn the content of private documents of enterprises, construct training samples, and fine tune the Rerank model to deeply fit and understand the private knowledge of enterprises from the parameter level.Its core design is only to solve one thing: to enable enterprises without AI technology experts to truly use AI, and the effect is good from the beginning.
Targeting serious development scenarios for enterprises, AI Coding platformCoStrict Business EditionBy fully understanding existing projects and strictly following the enterprise development process, high-quality code is generated through the Harness mechanism and code review capabilities, significantly improving research and development efficiency and shortening the overall development cycle of the enterprise.
  In the AI computing power scheduling and governance layer
  By using AI computing gateway, model and computing governance become simple, reliable, secure, and efficient.
  Deeply convinced of AI computing power gateway, is the unified entrance for various types of model services and the governance center for local computing power:Compatible with various types of computing power downwardsAnd through innovative computing power optimization techniques, maximize the performance advantages of computing power and models;Provide rich model services for various agents upwardsScheduling appropriate models or computing power services based on the business type of the agent significantly reduces token consumption costs, ultimately making computing power scheduling and governance simple, reliable, secure, and efficient.
  At the Agent hosting layer
  Based on a hyper converged infrastructure platform, it uniformly carries traditional applications and agents.
  Deeply convinced of the Agent hosting solutionBased on the challenges of isolated operating environment, complex deployment, and difficult migration adaptation in the large-scale implementation of enterprise level AI applications, and relying on mature hyper converged infrastructure, an integrated base has been built to uniformly carry traditional business and agents. While retaining the existing business virtualization environment,Provide a production level operating environment and capability for enterprise level users' agents, enabling faster deployment, more stable operation, open compatibility, and truly unleashing production value.
  In the Agent Protection Layer
  Build a strong defense line for Agent security, from office terminals to core businesses, ensuring the safe landing of every 'digital employee'.
For the scenario of intelligent agents in office terminals,Deeply convinced of the secure use of office terminal AI solutionBased on the zero trust concept, we create a secure workspace for using agents to help organizations see and control all agents. Through the innovative AgentSpace seamless sandbox, agents can run lightweight and imperceptibly in their exclusive "digital workstations" without changing employees' usage habits. They can only access the agent workspace folder, only open necessary network access permissions, and block high-risk access in real time, truly achieving anti attack, anti destruction, and anti leak capabilities.It can not only enable employees to improve work efficiency through AI, but also enable organizations to flexibly control the security risks brought by AI.
For the application scenarios of enterprise unified intelligent agents,Deeply convinced to protect AI application security solutionsBased on“AI protects AI”The construction concept is to build an AI intelligent agent full lifecycle protection system, from intelligent agent risk assessment, Agent ID binding to permission management, content security, behavior analysis to traceability disposal, accurately identifying the intention of each intelligent agent behavior, making AI assets identifiable, risks visible, permissions controllable, behaviors governed, and decisions trustworthy, truly realizing the parallel of security and business, and using "Al digital employees" on a large scale with confidence.
2026 is the year when AI digital productivity will be fully implemented. We have launched a series of new production grade AI products to make the implementation of production grade AI simpler, more efficient, and safer, helping enterprises truly embrace agents and quickly reap long-term compound profits.
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