National High-Tech Enterprise · Enterprise AI Infrastructure

Harness AI Productivity
The Future Is Here

Empower every enterprise with its own AI core capabilities

TIO AUTOPLAT: AIHub · DataHub · AIBase · AIDA

AIHub
AI Capability Hub
LLM orchestration · Knowledge base · Agents
DataHub
Data Middle Platform
Lakehouse · Governance · AI-ready
AIBase
AI Computing Infrastructure
Training · Evaluation · Release · Edge-cloud synergy
AIDA
Data Q&A
Natural-language analytics · Intelligent reports
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TRUSTED BY

Serving 100+ Industry Leaders

A selection of our representative partners

国家电网
百度
清华大学
中国银联
中国国航
中国铁建
中国中铁
IEEE
康宁
长虹
中国华能
金蝶
同程旅行
电子科技大学
淘宝
四川旅投
和信通
西婵
100+
Industry-leading Customers
10+
Years of Technology Accumulation
12+
Invention Patents
36+
Software Copyrights
99.9%
System Availability SLA
70%
Average Productivity Gain
AI PLATFORM · XIAZHUA

AI Middle Platform

With intelligent agents as the core production unit and across the full lifecycle of design, deployment, operation, and evolution, extend AI capabilities to every business touchpoint through the standardized MCP protocol.

Agent Full-Lifecycle Design

From intent understanding to task execution, every agent is precisely orchestrated and continuously iterated

AI Middle Platform
Visual Orchestration
Drag-and-drop agent workflow design, building complex business logic without coding
Intent Recognition Engine
Multi-turn dialogue intent understanding, accurately routing to the corresponding agent execution chain
Multi-Agent Collaboration
Master-slave agent architecture supporting parallel/serial task distribution and result aggregation
Memory Management
Short-term dialogue memory + long-term user profiles, maintaining context awareness across sessions
Full-Link Observability
Every inference, call, and decision is traceable, meeting enterprise audit requirements
Lifecycle Management
Full-process version control from design, testing, canary release to decommissioning

Multi-Touchpoint Productivity

One AI middle platform extending to every business entry point—WeChat, phone, ERP, or IoT, agents are always present

Multi-Touchpoint Productivity
WeChat/Work
Phone Outreach
Email Assistant
E-commerce
HR Systems
ERP/OA
IoT Devices
Tax Systems
Design Philosophy:Without changing user habits, inject AI capabilities into the tools users are most familiar with. Enterprises don't need to rebuild workflows; AI naturally blends into every business node.

Model Full-Lifecycle Management

From compute scheduling to model release, covering the complete lifecycle of enterprise-owned models

Compute Management
Unified scheduling of heterogeneous GPU/CPU/NPU resources to maximize utilization
Data Engineering
High-quality training data cleaning, labeling, and version management in one place
Training Support
Distributed training framework adaptation, supporting mainstream open-source and commercial models
Evaluation & Fine-Tuning
Automated benchmark evaluation + LoRA/QLoRA fine-tuning pipeline
Inference Service
High-concurrency inference gateway supporting streaming output and batch inference
Model Registry
Private model registry center with unified version management and access control

Knowledge Engine & Operations Control

Knowledge is competitiveness—securely accumulate private enterprise knowledge and let AI continuously evolve

Knowledge Partitioning
Isolate knowledge bases by business domain with fine-grained permission control, sensitive data stays within bounds
Prompt Engineering Platform
Visual prompt debugging, version comparison, A/B testing to continuously optimize model performance
Credit Risk Control
API call metering, cost attribution, abnormal usage alerts—AI usage costs are controllable
Full-Link Operations Control
Conversation QA, sensitive-word filtering, compliance auditing—enterprise security out of the box
DUAL PLATFORM SYNERGY

Dual-Platform Flywheel

The AI middle platform and data middle platform are not two isolated products, but an organically reinforcing whole

AI Middle Platform · XiaZhua
Agent Orchestration Engine
Multi-touchpoint access
Agent design & deployment
Model management & fine-tuning
Knowledge engine operations
Consume Data Assets
Feed Business Data Back
Data Middle Platform
Trusted Data Foundation
Multi-source data ingestion & governance
Lakehouse storage
Data asset serviceization
AI-assisted data work

Data gives AI evidence · AI makes data valuable · Together they build the enterprise AI moat

DATA PLATFORM

Data Middle Platform

Not a traditional data warehouse, but a trustworthy data foundation built around and for AI. Evolve data from 'stored' to 'usable', ultimately to 'AI does the work'.

End-to-End Governance Closed Loop

From data generation to AI consumption, every link is under governance control

Data Middle Platform
Multi-Source Heterogeneous Ingestion
20+ data sources including MySQL, Oracle, Kafka, APIs, files; real-time and batch unified ingestion
Lakehouse Architecture
Data lake flexibility + data warehouse performance, one dataset with two consumption modes
Pipeline Processing
Visual ETL orchestration supporting real-time streaming and offline batch processing with full traceability
Metadata & Lineage
Automatically capture field-level lineage, trace data sources and impact scopes with one click
Quality Standard System
Rule-engine-driven data quality detection with automatic interception and alerting of anomalies
Security & Compliance
Data classification, masking, encryption, access auditing to meet level-3 and industry compliance

Asset Serviceization & AI Collaboration

Data assets are no longer islands—connect directly to the AI middle platform and business systems through standardized interfaces

Dynamic OpenAPI Service
Publish data assets as REST APIs with one click, plug-and-play for business systems
Vectorization Engine
Unified vectorization of structured and unstructured data, providing a high-quality retrieval base for RAG
Agent Direct Data Access
Agents query data assets directly via MCP protocol, no middleware conversion, millisecond response
KB Sync Bridge
Data middle platform changes automatically sync to AI middle platform knowledge base, keeping AI knowledge consistent

Let AI Participate in Data Work

The data middle platform is not only raw material for AI; AI is also a productivity tool for the data platform

AI-Assisted Modeling
Describe business needs in natural language, AI recommends data model structures and field definitions, improving modeling efficiency by 70%
Intelligent Quality Lineage
AI automatically identifies data anomaly patterns and proactively pushes lineage impact reports, reducing response time from hours to minutes
Multimodal Asset Management
Unified management of text, image, audio, video, and structured data; AI generates summaries and tags, improving asset discovery efficiency 5x
INDUSTRY SCENARIOS

Industry Scenarios

From office to factory, e-commerce to government, AI middle platform and data middle platform capabilities take root in every industry scenario

Human-AI Collaborative Office Assistant
WeChatWeComEmail

Human-AI Collaborative Office Assistant

AI drafts contracts, meeting minutes, and emails via WeChat

Employees send natural-language instructions via WeChat/WeCom; AI automatically retrieves enterprise knowledge bases, contract templates, and historical cases to complete drafting, data filling, and format validation without switching systems.

Execution Chain
User request → Intent recognition → Template matching → AI drafting → Human confirmation & send
80%
Document drafting time saved
3min
Average response time
99%
Format compliance rate
CORE ADVANTAGES

Core Advantages

Not a pile of features, but differentiated barriers built around the core challenges of enterprise AI adoption

Enterprise Security & Compliance

Private deployment, data stays on-premise. Supports national cryptographic algorithms, level-3 protection, and industry compliance for finance, government, healthcare, and other high-compliance scenarios.

Private DeploymentNational CryptoLevel-3 Protection

MCP Standard Protocol

Based on the Model Context Protocol standard, AI capabilities extend to any business system through unified interfaces, no repeated development, near-zero integration cost.

MCP ProtocolStandardized APIsZero-Intrusion

Dual-Platform Synergy

Deep integration of AI middle platform and data middle platform—data gives AI a trusted foundation, AI makes data create business value. They reinforce each other, forming a positive flywheel.

Dual-Platform FusionData-Driven AIAI-Empowered Data

Continuous Evolution

Built-in model evaluation and fine-tuning pipeline; agents continuously optimize based on business feedback. Knowledge base and data middle platform sync in real time, AI capabilities grow with the business.

Auto Fine-TuningContinuous LearningReal-Time Knowledge Sync

Full-Link Observability

Every AI inference and every agent call is traceable. Complete execution logs, cost attribution, and quality scoring make AI usage accountable and traceable.

Inference TraceabilityCost AttributionQuality Scoring

10+ Years of Deep Industry Experience

Over 10 years in manufacturing, finance, government, retail, and more. Validated by 100+ leading customers, 12+ invention patents, 36+ software copyrights—double accumulation of technology and experience.

10+ Years100+ Customers12+ Patents
Technical Specifications
10,000+ TPS
Agent Concurrent Processing
100M+ Documents
Knowledge Base Scale
33 Hours Continuous
Model Runtime Chain
99.9% SLA
System Availability
20+ Types
Data Source Types
Private / Hybrid Cloud
Deployment Mode
ABOUT US

About Us

TIO Technology

Founded in 2015 and headquartered in Chengdu, TIO is a high-tech enterprise focused on enterprise-grade AI infrastructure. After building a strong technical reputation in the open-source community with its self-developed TIO framework, we channeled over a decade of enterprise software R&D experience into AI, building an AI middle platform product system centered on 'XiaZhua'.

We believe AI should not be exclusive to large enterprises. Through standardized, productized AI and data middle platforms, enabling every willing enterprise to own its core AI capabilities at a reasonable cost is the fundamental value of TIO.

50%+
AI Adversarial Expert R&D
80%
R&D Staff Ratio
10+ Years
Average Industry Experience
100+
Enterprise Customers Served

Milestones

2015
Founded, focusing on enterprise digital transformation services
2017
Established AI connected-car lab and released 'Dudu' driving assistant
2024
Focused on enterprise AI scenario-based implementation
2026
AI middle platform 'XiaZhua' officially released, embracing the Agent era

Qualifications & Honors

National High-Tech Enterprise
Certified national high-tech enterprise
IEEE Technical Collaboration Unit
Technical collaboration unit of the Institute of Electrical and Electronics Engineers
UnionPay Online Payment
UnionPay Online Payment access plugin developer
Taobao/eTao Official
Official FEED plugin downloads exceeding 10 million
Patents
12+ related patents
Copyrights
36+ related software copyrights

Core Philosophy

Technology-Driven, Value Delivery
We don't chase technology hype; we only care whether technology truly solves enterprise problems. Every feature is born from real business pain points.
Open Ecosystem, Standards First
Built on open standards such as MCP to avoid vendor lock-in. Customers' AI capabilities should belong to customers, not depend on any single supplier.
Long-Termism, Deep Partnership
AI adoption is not project delivery but continuous evolution. We build long-term partnerships with customers and grow together.
CONTACT US

Contact Us

Book an exclusive product demo and learn in 30 minutes how the AI middle platform can land in your business scenario

Contact Directly

Address
Room 1707, Tower 3, Innovation Times Square, High-Tech Zone, Chengdu, Sichuan, China
Fast Response Commitment

We respond within 2 hours on working days and arrange a dedicated consultant for in-depth communication within 48 hours, providing solution recommendations for your business scenario.

Book a Product Demo