TIO AUTOPLAT · Intelligent Foundation L3

AIHubAI Capability Hub

Deeply fuse structured data and unstructured knowledge, unified scheduling of large models, knowledge bases, agents, MCP tools and edge computing, achieving the productivity leap from 'passive execution' to 'active planning'.

20+
Core Capabilities
Dual Paradigm
Agent Engine
Fusion RAG
Multi-Recall Fusion
MCP
Tool Protocol Standard
PRODUCT OVERVIEW

One Platform Solving Three Major Hurdles in Enterprise AI Adoption

Most enterprises want to turn large models into business value, but face three obstacles: fragmented model access hard to manage centrally, knowledge and data isolated from agents, and high barriers to build and debug agents. AIHub unifies large model access, knowledge base management, agent orchestration, and MCP tool ecosystem into a single runtime platform, allowing business teams to configure, debug, and release intent-driven agents without deep AI engineering expertise.

Chaotic Model Management——OpenAI-compatible unified access with platform-level and app-level layered configuration
Knowledge Silos——Fusion RAG multi-recall fusion unifies document, media, and structured data retrieval
High Agent Building Barrier——AI-assisted blueprint generation and virtual user simulation debug significantly shorten prototype cycles
20+
Core Capabilities
Dual Paradigm
Agent Engine
Fusion RAG
Multi-Recall Fusion
MCP Standard
Tool Protocol Ecosystem

Core Capability Matrix

A complete closed loop covering large model access, knowledge management, agent orchestration, tool ecosystem, and operations observability

Multi-Model Unified Access

OpenAI-compatible protocol access to mainstream cloud LLMs, platform-level and app-level model configuration layered management, unified scheduling of Chat / Embedding / text-to-image and more.

Enterprise Knowledge Base

Full chain of document/media upload, parsing, vectorization, and Milvus retrieval. Hybrid retrieval and Fusion RAG multi-recall fusion greatly improve Q&A accuracy.

Agent Full Lifecycle

From access design, streaming debug, effect evaluation to canary release, fully observable and auditable. Supports Persona, multi-turn dialogue, SSE/WebSocket streaming output.

Multi-Agent Topology Orchestration

Sub-flows, branches, loops, and intent routing form complex orchestration topologies. Deterministic workflow agents and autonomous planning agents coexist, adapting to different business complexity.

MCP Tool Ecosystem

Supports MCP protocol endpoints and automatic tool discovery. Knowledge base, product, payment, DataHub and other capabilities can be injected into agents as tools. Skill Registry signing and canary release.

Voice & Multimodal

ASR/TTS real-time call chain, knowledge base image/video retrieval and multimodal reply orchestration, supporting telephone RPA edge-side call linkage scenarios.

Scheduled Plans & Proactive Outreach

CRON scheduled tasks and intent recognition-driven proactive outreach allow agents to autonomously execute business processes without user initiation.

AI Operations Dashboard

KPI trend monitoring and A/B experiment management, credit/point configuration and consumption tracking, content review and security sandbox policy linkage, full operations data visualization.

Dual-Paradigm Agent Engine

Deterministic workflow and autonomous planning coexist, flexibly selected by business complexity and compliance requirements

Deterministic Workflow Agent

Canvas drag-and-drop precision orchestration with fully controllable data flow and conditional branches between nodes. Suitable for fixed-process, high-compliance business scenarios where every execution path is predictable and auditable.

Visual DAG canvas
Conditional branches & loops
Independent tool permission config
Version control & rollback

Autonomous Planning Agent

Dynamically plans execution paths based on LLM, automatically re-plans in the face of tool failures, supports end-to-end autonomous completion of ultra-long complex tasks. Every decision reason and tool return is traceable.

Dynamic routing & self-correction
Human-agent collaboration & interruption
Process visualization & explanation
Continuous state tracking

AI-Assisted Building Capabilities

Deeply embed AI capabilities into the agent and application building process itself, providing an AI-assisted toolchain through design, tuning, and packaging

01

Auto Agent Blueprint Generation

Describe business goals in natural language; the platform automatically generates recommended persona prompts, core skill combinations, necessary tool lists, and preliminary flow frameworks, greatly shortening the cycle from concept to prototype.

02

Prompt Workshop

Based on brief descriptions of agent behavior, tone, and output format, automatically generate structured high-quality prompts. Continuously analyze conversation logs to identify weak links that may cause ambiguity or hallucination and generate optimization suggestions.

03

Automated Skill Packaging

Automatically identify reusable workflows, data query logic, or model call chains, recommend packaging as standardized Skills, and automatically generate descriptions, parameter definitions, and version numbers to register in Skill Hub.

04

Virtual User Debug Simulation

AI-driven virtual users simulate real questioning styles and follow-up habits, exposing logic flaws through multi-round stress dialogues, and automatically generating diagnostic reports and fix suggestions after simulation.

05

Continuous Learning & Self-Iteration

Analyze real user feedback and downvote reasons, automatically fine-tune agent configuration, knowledge base associations, and prompt parameters within administrator authorization, achieving an AI-assisted closed loop from development to long-term operations.

Knowledge Base & Fusion RAG

Multimodal document parsing → chunk vectorization → hybrid retrieval → multi-recall fusion, building a high-precision enterprise knowledge foundation

01

Document Parsing & Vectorization

Document/image/video upload
Multi-format parsing and chunking strategy
Embedding model vectorization
Milvus vector store
02

Fusion RAG Multi-Recall

Semantic vector retrieval
Keyword full-text retrieval
Multi-way result fusion reranking
Recall chain visual debugging
03

Knowledge Sync & Update

DataHub KB sync strategy
Knowledge jobs and chunking into RAG
External platform adaptation such as扣子
Application-level knowledge sync strategy

Multi-Agent Orchestration Topology

Deterministic workflow and autonomous planning dual paradigms coexist, sub-flows, branches, loops, and intent routing form complex orchestration topologies

Multi-Agent Orchestration Topology

Typical Application Scenarios

Smart Customer Service

7×24 knowledge base RAG answers, product/payment MCP tools directly connected, unified multimodal reply orchestration.

Phone RPA

Edge-side call linkage, ASR real-time transcription, agent automatically processes incoming call intent, structurally records call results.

Enterprise Internal Assistant

Connect to ERP, OA, database and other internal systems, safely call through MCP tools, knowledge base and structured data dual-channel answers.

Proactive Marketing Outreach

CRON scheduled tasks combined with intent recognition, agents proactively push personalized content, linked with payment/distribution modules.

USE CASES

Landing Scenarios

From customer service to internal assistants, covering the full spectrum of enterprise AI applications

Smart customer service scenario

Smart Customer Service Center

7×24 knowledge base RAG answers, product, payment, ticket MCP tools directly connected, unified multimodal reply orchestration. Customer service efficiency improved by 60%, human intervention rate reduced below 30%.

Workflow automation scenario

Business Process Automation

Connect to ERP, OA, database and other internal systems through MCP tools. CRON scheduled tasks and intent recognition drive proactive outreach, achieving end-to-end automated workflow closed loop.

Explore the Full Capabilities of AIHub

Deeply coupled with DataHub, data governance results directly enter the knowledge base, building truly data-driven intelligent agents