KOTEI Unveils SDW AI Automotive Software Engineering

Beijing, April 25, 2026 — At Auto China 2026, KOTEI officially unveiled SDW AIKO, the latest evolution of its Software DreamWorks (SDW) 3.0 and a next-generation AI-native development platform purpose-built for automotive software engineering.

Announced at KOTEI’s booth in the Capital International Exhibition Center, the launch brought together company executives, strategic partners and media representatives to witness a milestone that signals a new development paradigm for the software-defined vehicle era.

During the launch event, Dr. Zhu Dunyao, Chairman of KOTEI, shared the company’s vision for AI-powered software engineering, while Lu Kaixuan, Executive Dean of the AI Research Institute, presented the core technologies and application scenarios behind SDW AIKO. Guests were also invited to a dedicated VIP demo zone for hands-on exploration of the platform’s AI-native development capabilities.

Reimagining Automotive Software Development for the AI-Native Era

As vehicle intelligence accelerates, traditional software development models are under increasing pressure. Fragmented human-machine collaboration, heavy manual workloads, rigid waterfall processes and long delivery cycles have become major constraints on innovation.

Designed to address these challenges at the system level, SDW AIKO combines deep human-AI collaboration with process reengineering, enabling AI Agents to participate across the full software lifecycle — from project initiation and engineering execution to continuous optimization.

Rather than functioning as isolated tools, AI Agents in SDW AIKO operate as collaborative engineering teammates, capable of analysis, planning and execution while continuously learning from accumulated project knowledge. The result is an intelligent development system that becomes more capable over time.

End-to-End Engineering Intelligence for Full-Lifecycle Development

A major breakthrough of SDW AIKO is its end-to-end development closed loop, connecting requirements, architecture, implementation, validation and deployment.

Using autonomous parking as a proof-of-concept scenario, the platform has demonstrated a fully closed-loop AI-native development flow capable of delivering runnable in-vehicle software. This capability is planned to expand into cockpit systems, ADAS and body control domains, supporting highly automated development aligned with ASPICE compliance requirements.

The platform also spans eight capability domains across the software lifecycle, including:

• Requirements analysis

• Architecture design

• AUTOSAR configuration

• Code review

• System and unit testing

• Deliverable inspection

• Engineering knowledge management

• Continuous optimization

Together, these capabilities reduce manual intervention, improve development efficiency and enhance quality consistency, enabling engineering teams to focus on higher-value innovation.

Six Core Innovations Driving SDW AIKO

At the heart of SDW 3.0 are six technology innovations that make AI purpose-built for automotive software engineering:

Dynamic Multi-Agent Orchestration

SDW AIKO can automatically assemble specialized AI Agent teams based on task requirements, enabling coordinated execution across requirements engineering, development and verification.

Self-Evolving Knowledge Memory

Project experience, reviews and engineering know-how are continuously transformed into reusable digital assets, allowing the system to deepen understanding and improve performance over time.

Proprietary Five-Stage Execution Engine

A unique “Think–Act–Observe–Repeat–Persist” framework enables complex tasks to be executed in closed loop, supporting long-context reasoning and multi-task scheduling.

Deep Automotive Domain Intelligence

Unlike general-purpose AI platforms, SDW AIKO is built with specialized knowledge and toolchains for AUTOSAR, functional safety and vehicle software engineering, supporting collaborative development across vehicle, cloud and mobile environments.

Built-In Security Architecture

Multi-layer protection mechanisms — including isolated execution environments, minimum privilege control, authenticated device pairing and prompt injection defense — ensure AI operations remain secure and controllable.

Six-Layer System Memory Architecture

A progressive memory framework preserves context continuity across interactions and tasks, enabling precise project recall and seamless task coordination.

More Than a Platform — A New Engineering Paradigm

What differentiates SDW AIKO from general Agent platforms is KOTEI’s deep automotive software expertise and its full-process engineering closed-loop capability.

The launch marks more than the introduction of a new development platform. It represents a fundamental evolution in how automotive software can be engineered in the AI-native era.

As a leader in AI-powered automotive software, KOTEI will continue advancing intelligent software engineering to help global OEMs and partners accelerate innovation and unlock new value in future mobility.