Nebula PLUS Enterprise AI Application Development Platform

Bring AI Into Real Operations — Safely and Under Control.

Connect AI chat, Agents, Skills and MCP Tools to existing systems while automatically carrying real user identity and permissions into governed business execution.

AI acts for real users without exceeding their permissions.

Enterprise AI governance platformONLINE
01AI Chat
02Agent
03Skill
04MCP Tool
05System Embed
06Audit

Non-intrusive Identity Continuity

Independent AI Authentication Without Disrupting Existing Systems

Nebula PLUS authenticates AI applications independently and automatically maps AI users to real business-system users. Role, employment and permission changes take effect immediately.

01Independent authentication
02Automatic real-user mapping
03Immediate permission changes
04No target-system modification or agent

Core Capabilities

From AI Entry Points to Real Business Systems

Reuse existing identity, permissions, data and business capabilities so AI can execute enterprise tasks within an authorized scope.

01

Multiple Entry Points and Protocols

AI chat, Agents, Skills, MCP Tools and system embedding, with MCP, A2A, AG-UI, OpenAPI and other interfaces.

02

Non-intrusive AI Identity Continuity

Use independent AI authentication without disrupting existing logins, then automatically carry real identity and permissions through business calls.

03

Turn Business APIs Into AI Tools

Wrap business capabilities as Skills and MCP Tools connected to ERP, MES, CRM and WMS.

04

Agents, Skills and Task Orchestration

Develop Agents, import external Agents and orchestrate Skills and tools for complex tasks.

05

Token Budgets and Request Guardrails

Govern model availability, token traffic, budgets and AI request risk at enterprise scale.

06

End-to-End Invocation Audit

Track user identity, source application, capability, target system, execution result and Trace ID.

SECURITY GOVERNANCE

Four Security Checks Across Identity, Capability and Data

Identity binding, department mapping, capability authorization and data validation work with guardrails and invocation audit to make each business access governable and traceable.

1Identity2Department3Capability4Data

SCENARIOS

Major Enterprise AI Scenarios

  1. Add AI assistants or intelligent entry points to existing systems
  2. Let AI invoke business capabilities and execute tasks
  3. Build business AI using enterprise data and knowledge
  4. Reuse existing identity and permissions for AI access
  5. Govern AI traffic, budgets and invocation risk

Open Connectivity

Open Model and Deployment Choices Without Single-Vendor Lock-in

Connect existing enterprise models and infrastructure through open interfaces, with environment-specific validation where needed.

01

Model Access

Cloud model APIs · local private models · OpenAI-compatible interfaces

02

AI Entry Points

AI chat · Agent · Skill · MCP Tool · system embedding

03

Protocols

MCP · A2A · AG-UI · OpenAPI

04

Deployment

Not tied to a specific OS, container platform or domestic technology stack

PLATFORM COLLABORATION

Business Applications and AI Evolve Together

The application platform builds systems, data models, interfaces and workflows. The AI platform reuses those assets to add governed intelligence to new and existing applications.

Explore Application Development

IMPLEMENTATION PATH

Four Stages to Bring Governed AI Into Operations

Establish system conditions and security boundaries before connecting, building and governing production use.

01

Assess

Systems, scenarios and boundaries

02

Connect

Identity, capabilities and data

03

Build

Agents, Skills and MCP Tools

04

Launch & Govern

Guardrails, budgets, audit and iteration

FAQ

Enterprise AI Platform FAQ

Book a 45–60 minute enterprise demo and receive an initial proposal afterwards.

01Is the platform tied to specific model brands?

No. It supports cloud model APIs, local private models and OpenAI-compatible interfaces.

02Will AI login disrupt existing business systems?

No. AI applications use independent authentication without changing existing business-system login states.

03How are business identity and permissions applied?

The platform automatically maps AI users to real business-system users and carries identity, organization and permissions through the invocation chain.

04Do permission changes take effect promptly?

Yes. Role, employment and permission changes take effect immediately.

05Must target business systems be modified?

No modification or installed component is required. Connection conditions are confirmed during project assessment.

Bring AI Into Business Without Letting It Overreach

Book a demo to see how Nebula PLUS connects your existing systems with enterprise-grade governance.