beizhu-1209/AIHelms

企业级 AI 资源纳管平台,提供统一 AI网关、Token调度能力,纳管 OpenAI、Azure、Claude、DeepSeek 等主流模型,并支持 MCP 工具与 Skill 的集中注册分发。具备内外双轨定价、成本归因、统一身份认证、安全审计与效能报表,帮助企业精准控制成本、量化 ROI,高效治理 AI 资产。

What it solves

AIHelms is an enterprise-grade AI resource management platform designed to solve the "black box" problem of AI spending and utilization. It helps organizations manage AI assets, control costs, and quantify the actual value and productivity gains derived from AI adoption across different departments and projects.

How it works

The platform acts as a centralized gateway and management layer between AI model providers and the end-users (employees). It provides:

  • Cost Management: Implements a dual-pricing system (external provider costs vs. internal settlement prices) and allows for budget limits (soft alerts or hard stops) based on individuals, departments, or projects.
  • Unified Identity: Issues a single AI identity (API Key) per employee, providing a single entry point to access all managed AI resources.
  • Resource Orchestration: Integrates multiple AI providers, supports load balancing across multiple deployments of the same model, and manages the registration and distribution of internal AI tools (Skills and MCP servers).
  • Monitoring and Analytics: Tracks token-level usage to generate efficiency reports, coverage rates, and cost-benefit analyses.

Who it’s for

  • Decision Makers: Who need visibility into ROI, spending reports, and productivity metrics.
  • IT Administrators: Who need to centrally manage model access, assign identities, and set budgets.
  • Employees: Who need a simplified way to obtain AI credentials and access various models via their preferred clients.

Highlights

  • Granular Cost Attribution: Tracks every call down to the specific person, department, and project at the token level.
  • Multi-Provider Integration: Supports various suppliers with OpenAI and Anthropic format compatibility.
  • Budgetary Control: Offers multi-dimensional budget management with both warning and disabling mechanisms.
  • Security Auditing: Includes sensitive information identification and high-risk prompt interception.
  • AI Marketplace: A hub for registering, approving, and distributing internal AI Skills and MCP servers.

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