Recently, ALTEN China was invited to participate in an Innovation Day hosted by a leading global automotive supplier. During the event, ALTEN presented a portfolio of AI-driven engineering solutions and real-world industry applications, attracting significant interest from attendees. The event focused on exploring how AI can accelerate R&D transformation and unlock new value across automotive product development.

As China’s automotive industry continues its rapid transition toward electrification and intelligent mobility, leading automotive suppliers are actively building open and collaborative innovation ecosystems. Against this backdrop, improving engineering efficiency, software quality, and development productivity through AI has become a key area of focus across the industry.

At the event, ALTEN highlighted four innovative solutions built around intelligent automation, retrieval-augmented generation (RAG), and AI agent technologies.

01. MLOps Machine Learning Platform

ALTEN’s MLOps platform provides a complete closed-loop framework spanning data preparation, model training, validation, deployment, and production testing. By leveraging DataOps capabilities for automated test image collection, cleansing, and version management, alongside MLOps pipelines for model training, evaluation, and deployment, the platform helps engineering teams improve traceability and accelerate AI model iteration cycles.

02. RAG Knowledge Retrieval Solution

Built on Retrieval-Augmented Generation (RAG) technology, this solution transforms unstructured assets—including historical test cases, code repositories, and system logs—into searchable knowledge resources. When new issues arise, the system can retrieve relevant historical cases and leverage large language models to provide contextual recommendations, helping engineers reduce troubleshooting effort and improve knowledge reuse.

03. AI Agent Solution

Powered by advanced large language models, ALTEN’s AI Agent solution is designed to understand natural language instructions and orchestrate engineering workflows autonomously. The system can monitor task execution in real time, perform automated validation, and generate standardized reports. It also supports the development of customized AI agents tailored to specific engineering scenarios, enabling AI-driven interaction with tools and devices to accelerate project execution and operational efficiency.

04. Generative AI Solution

ALTEN’s enterprise-grade Generative AI solution combines large language models, RAG technologies, and agent-based workflows to support intelligent test design and engineering documentation processing. The system can analyze multiple document formats, including PDF, Word, Excel, HTML, JSON, and UI design specifications, and automatically generate structured test cases. By integrating domain-specific knowledge with generative AI capabilities, the solution helps automate traditionally manual testing activities, improving productivity and supporting broader test coverage.

As the automotive industry moves from hardware-centric development toward software-defined vehicles, the solutions demonstrate the company’s expertise at the intersection of AI engineering and automotive technology.

With extensive experience supporting global automotive programs, ALTEN China remains committed to creating value through engineering excellence and technological innovation. Participation in this Innovation Day not only strengthened collaboration with industry partners but also opened new opportunities for future cooperation across emerging technology domains.

Looking ahead, ALTEN China will continue to invest in advanced technologies and customer-centric innovation, delivering competitive engineering solutions and services that help customers navigate industry transformation and contribute to the sustainable development of China’s automotive sector.