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<img src="https://raw.githubusercontent.com/chery-nextai/.github/d2558edfa5c24e67577c37c0166fafccbbf8497d/profile/assets/nextai-logo.svg" alt="Chery NEXTAI Research Institute" width="860" />
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<h1>Chery NEXTAI Research Institute</h1>
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<strong>AI Technology Innovation and R&amp;D Hub of Chery Group</strong>
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Driving the deep integration of artificial intelligence technologies with the automotive industry.
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<a href="#about">About</a> ·
<a href="#research-directions">Research Directions</a> ·
<a href="#application-scenarios">Application Scenarios</a> ·
<a href="#open-collaboration">Open Collaboration</a>
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## About
**[Chery Group](https://www.cheryinternational.com/)** is a global automotive enterprise committed to technological innovation and high-quality development. Through continuous investment in AI and intelligent technologies, Chery is accelerating the evolution of intelligent vehicles, smart mobility, and future industrial ecosystems.
**Chery NEXTAI Research Institute** is the AI technology innovation and R&D hub of Chery Group, dedicated to driving the deep integration of artificial intelligence technologies with the automotive industry.
Leveraging Chery’s extensive industrial scenarios and massive data resources accumulated across automotive R&D, manufacturing, supply chain, and user services, the institute focuses on building an intelligent technology foundation for the automotive industry.
Our mission is to empower industrial upgrading through AI, improve operational efficiency, optimize costs, strengthen decision-making capabilities, and enhance risk management across the full automotive value chain.
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## Vision
To build a future-oriented AI innovation engine for intelligent vehicles, smart mobility, and the next-generation automotive industry ecosystem.
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## Research Directions
Chery NEXTAI Research Institute focuses on core AI technologies that can generate long-term industrial value.
| Direction | Focus |
|---|---|
| **Foundation Models** | Automotive-domain large language models, knowledge reasoning, enterprise knowledge intelligence |
| **Multimodal Large Models** | Vision-language understanding, CAD and engineering drawing intelligence, industrial multimodal perception |
| **AI Agents** | Enterprise agents, workflow automation, tool-using agents, decision-support systems |
| **AI Infrastructure** | Model training, evaluation, deployment, data governance, AI service platforms |
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## Application Scenarios
The institute conducts research on industry model training, AI agent system development, and innovative AI applications around key automotive scenarios.
- **R&D and Design**
AI-assisted engineering design, technical document understanding, product knowledge reasoning, and intelligent R&D workflows.
- **Intelligent Manufacturing**
Manufacturing process optimization, quality inspection, anomaly detection, and production efficiency improvement.
- **Supply Chain Management**
Supplier analysis, demand forecasting, risk identification, and intelligent procurement support.
- **Enterprise Operations**
Knowledge management, intelligent office automation, business process agents, and data-driven decision support.
- **Intelligent Cockpit**
Human-vehicle interaction, multimodal user experience, personalized services, and in-car AI assistants.
- **Autonomous Driving**
Scenario understanding, world models, decision intelligence, simulation, and safety-oriented AI capabilities.
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## Technology Foundation
Chery NEXTAI Research Institute builds an end-to-end AI technology system for the automotive industry:
```text
Industrial Data & Knowledge
Foundation Models & Multimodal Models
AI Agents & Intelligent Applications
Automotive Business Value Creation
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This system connects data, models, agents, and applications to accelerate the transformation of AI capabilities into measurable industrial value.
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## Open Collaboration
NEXTAI Research Institute actively promotes collaborative innovation among industry, academia, and research institutions. We aim to build an open AI innovation platform that connects frontier AI research with real-world automotive scenarios.
We are seeking collaboration across the following areas, while remaining open to broader opportunities beyond these directions:
- Automotive foundation models
- Multimodal learning and industrial vision-language models
- AI agents for enterprise and engineering workflows
- Intelligent manufacturing and supply chain AI
- Autonomous driving, simulation, and world models
- AI infrastructure, evaluation, and trustworthy AI
- Other frontier AI technologies and industry-driven innovation scenarios
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