Churinga AI Employee Platform

Give enterprises instant access to data without losing context
Exclusive AI Productivity

PAIN POINTS

Enterprise AI deployment,What's the challenge?

From compute to data, from models to scenarios: the four core challenges of enterprise AI transformation

Challenges in compute resource scheduling

Fragmented compute resources, low scheduling efficiency, inability to elastically allocate on demand, and suboptimal GPU utilization.

Slow data value extraction

Multi-source, heterogeneous data is difficult to integrate and govern; data silos are severe, leading to long cycles for business value realization.

High cost of AI deployment

High investment in large model training and deployment, lack of industry-specific adaptation, and difficulty in quickly validating ROI.

Hard to ensure security and compliance

Strict data privacy requirements, high pressure for compliance with MLPS regulations, and urgent need for on-premises deployment.

FULL-STACK SOLUTION

Full-stack technical support from Chuling
End-to-end enterprise AI implementation

From data integration to large model empowerment and AI application deployment, building a complete enterprise-grade AI technology stack.

EDPS

Enterprise Data Processing Service

Basic Business DataOperational Management DataIT Operations DataDPI Data CollectionMulti-source Heterogeneous Governance

EMAAS

Enterprise Model As A Service

Large Model IntegrationSmall Model MatrixIndustry-Specific ModelsModel Governance Security

EAAS

Enterprise AI Agent Service

AI Expense AssistantAI Business Process AssistantEHS AssistantKnowledge Q&A AssistantSmart Switchboard

Full-Stack Technical Expertise

End-to-end enterprise AI technology stack solution: from data integration and model deployment to real-world application scenarios.

Years of Industry Expertise

Over 20 years of deep expertise in the telecom sector, with extensive AI implementation experience across manufacturing, retail, healthcare, and other industries.

Security and Compliance Assurance

Enterprise-grade security standards to ensure data privacy protection, AI application compliance, and alignment with classified protection requirements.

Flexible deployment options

Supports public, private, and hybrid cloud deployments to flexibly adapt to enterprise IT architectures.

AI EMPLOYEE MATRIX

Empower every role,All include AI assistants

Covers core enterprise functions with 20+ AI digital employee roles, customized on demand.

Administrative

AI Cultural Officer
AI Promoter
AI Contract Specialist
AI Contract Specialist

Finance

AI Expense Assistant
Business Process Assistant
AI Tax Specialist
AI Finance & Accounting Analyst

Production

AI Environment Specialist
AI Inspection Specialist
AI Safety Officer
EHS Intelligent Specialist

IT

AI Operations Specialist
IT Assistant
Network Administrator
SEN Network Specialist

Operations

AI Knowledge Q&A
AI Smart Receptionist
AI Marketing Specialist
AI Quoting Specialist

4 Steps to Deploy AI Employees

End-to-end, hands-on support from diagnosis to optimization—ensuring real AI value delivery.

01

Needs Assessment

Go deep into business operations to identify high-value scenarios and critical bottlenecks

02

Customize Plan

Define AI employee capabilities and implementation roadmap with the client team

03

Deploy

Validate in small steps, deploy quickly, and get value into production sooner.

04

Continuously optimize

Track results and iterate capabilities to enable continuous system growth with your business.

Be the first to bring your business into the AI era

Tell us about your business needs to get a custom AI productivity solution.

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