OEMs and Tier1s’ Intelligent Cockpit Platform (Hardware and Software) Innovation Strategy Research Report, 2026
Intelligent Cockpit Platform Research: multi-dimensional cockpit system architecture reconstruction for multi-agent collaboration and proactive intelligent services
The intelligent cockpit software system architecture is reconstructed to create an AI native cockpit system.
Driven by the evolution of automotive EEAs toward central integrated architectures and advances in intelligent technologies, the intelligent cockpits of vehicles have been upgraded from the initial distributed signal-oriented cockpit system architecture to a service-oriented software system architecture.
Promoted by factors such as AI foundation models and agent deployment in vehicles, the intelligent cockpit system architecture has seen further changes. The AI ??native cockpit system architecture is proposed, which refers to a cockpit system with AI foundation models and agents as the core, reconstructing the entire link from underlying computing power to upper-layer interaction. It breaks the limitations of "function stacking" and "passive interaction" of traditional intelligent cockpits, and realizes the active intelligent evolution of "services finding people".
At present, many OEMs are gradually building AI native cockpit system architectures by deploying underlying OS AI + AI foundation models + application ecosystem + multi-agent collaboration so as to offer active intelligent cockpit service experience.
In May 2026, BYD launched its new super agent "DiDiXia", an automotive AI secretary integrating intelligent interaction, proactive service, and open ecosystem. It empowers the DiLink AI intelligent cockpit and features three core capabilities: "intuitive communication, multi-task execution, all-scenario ecosystem compatibility". DiDiXia employs a full-link agent architecture:
1.AIOS serves as the underlying capability platform;
2.The super agent engine is responsible for interaction and task scheduling;
3.The agent open platform connects to a third-party service ecosystem, thereby enabling linkage and collaboration between different services.
In April 2026, GAC released the new ADiGO Intelligence edge-cloud integration architecture. Relying on high-performance chips and the self-developed AIOS underlying layer, it drives the cockpit to evolve into an attentive partner that truly understands users with three self-developed core engines (a multi-modal perception engine, a memory-based multi-agent collaboration engine, and an emotion expression engine), offering proactive service experience.
Cockpit hardware platform reconstruction: In addition to the central integrated computing platform, new solutions such as external AI BOX enable large-scale deployment of AI cockpits.
Traditional cockpit hardware only meets the basic display and computing requirements of the center console and cluster, but cannot support high-level multimodal foundation models and multi-agent parallel inference capabilities. Therefore, intelligent cockpit hardware platforms are undergoing transformations in fields such as central computing platforms, high-performance AI cockpit domain control platforms, and elastic computing power from external AI BOX.
Key Direction 1: Accelerated Mass Production and Deployment of Central Computing Platforms. Driven by multiple factors, including the evolution of vehicle EEAs ("central computing + zonal control") and the continued mass production and deployment of high-performance automotive SoCs, intelligent cockpit computing hardware is accelerating its iterative upgrade towards central computing platforms. Many suppliers in the industry chain are increasing their investment in cockpit-driving integration computing platforms.
In line with the wave of industry transformation, Neusoft Group's subsidiary, Neusoft Smart Mobility, has completed its strategic upgrade, focusing its business on the full-domain scenarios of upper vehicle body electronics. It has built a full-stack automotive electronics product matrix covering central computing platforms, driving-parking integration systems, intelligent cockpits, automotive communication, intelligent audio, and ZCUs, and has taken the lead in implementing edge foundation model applications.
Neusoft Smart Mobility's key product platform, the A3 cockpit-driving-parking integration platform, adopts a One Chip architecture. Leveraging hardware virtualization technology, it connects all domains of the vehicle body (including the cockpit, autonomous driving, automotive communication, and body control), and constructs the next-generation vehicle central computing foundation to achieve intelligent integration across all domains. The platform can adapt to edge AI foundation models with 4B/7B parameters, and work with ecosystem partners to create a highly intelligent, multi-modal human-vehicle interactive cockpit; it also integrates intelligent driving E2E models, VLA and world models to achieve all-scenario, high-security, high-level autonomous driving capabilities.
In April 2026, Hangsheng Electronics officially released a full “technology foundation + domain controller + ECU” product matrix amid the era of AI-defined vehicles. It also launched Mozi 3.0, which is a five-domain integrated central computing platform integrating the capabilities of cockpit, autonomous driving, connectivity, vehicle control, and edge AI. It replaces the traditional distributed ECUs with one or two high-performance computing units. The computing power ranges from 100+TOPS to 1000+TOPS. Equipped with Moyuan AI OS, cross-screen 3D interaction and active service agents, it realizes an edge AI computing power closed loop.
Key Direction 2: External AI BOX enters the stage of designated mass production. The native cockpit SoCs of existing vehicles and mid-range models do not deliver sufficient computing power to support advanced foundation models and multiple agents. Replacing full-vehicle domain controllers brings extremely high costs and lengthy certification cycles. As an external independent computing unit connected through high-speed Ethernet interfaces, AI BOX requires no modifications to EEAs and allows separate iterative upgrades of hardware computing power, striking a balance between cost and intelligent experience. Designated mass production of AI BOX is initiated in 2026. Several suppliers have proposed AI BOX-related product solutions.
In 2026, ThunderSoft launched the AIBOX-N1, built on NVIDIA DRIVE AGX Orin, boasting 200 TOPS of AI computing power, supporting real-time operation of 7B-paramter foundation models in vehicles. Equipped with ThunderSoft’s self-developed AquaDrive AIOS 2.0, it natively adapts to a multi-agent scheduling framework. It has already been deployed in production vehicle models such as the Black Gold Smart Edition of Geely Galaxy M9.
In June 2026, Desay SV exhibited the EA01S+AI BOX solution, which facilitates the mass production of mainstream AI cockpits through the external AI BOX of the basic cockpit domain control platform that uses the Qualcomm QCM8838 to support basic cockpit functions, such as multimedia playback, navigation, and basic voice interaction, with a stable hardware foundation and software ecosystem. As an independent AI computing unit, AI BOX is integrated with Qualcomm QCS9075, connected to EA01S through a standardized interface, and is responsible for running edge AI foundation models and complex AI tasks.
In April 2026, Neusoft Group released the NAGIC.AI cockpit software platform, which adopts a "distributed + centralized" dual-architecture parallel design, covering existing and new vehicle models. The AI BOX solution for existing vehicle models supplements the computing power by an external AI computing unit; the solution has features easy expansion, easy iteration, and easy deployment. There is no need to subvert the existing cockpit architecture. Just by connecting an external high-performance AI computing unit, the computing power can be quickly and cost-effectively raised.
New vehicle models for the next-generation central computing platform: With the central computing platform as the core foundation of the next-generation intelligent cockpit, Neusoft provides full-stack AI empowerment capabilities from underlying operating system optimization to upper-layer AI application deployment, fully unleashing the powerful computing power and data throughput capabilities of the centralized architecture, ensuring efficient operation, stability, reliability, and full-domain controllability of the agent experience, meeting OEMs' stringent requirements for system security and long-term management.
The cockpit ecosystem is reconstructed, and the APP evolves into a multi-agent collaborative ecosystem to create an intelligent cockpit with active services.
In 2026, the logic of competition in the intelligent cockpit ecosystem is completely iterated, and the industry officially bids farewell to the traditional model with the automotive APP store ecosystem as the core and enter a new stage of multi-agent collaborative ecosystem.
More and more OEMs, suppliers, and technology platforms will no longer be satisfied with simply putting a "voice foundation model" into a car, but will instead have multiple AI agents collaborate, understand user intentions, plan tasks, invoke tools, execute cross-domain operations, and deliver proactive intelligent services for users.
In April 2026, Huawei released HarmonySpace 6 whose core technology variable is the upgrade of Xiaoyi Agent from MoLA to MoLA 2.0 that uses the "cerebrum+cerebellum" architectural logic to make a single model optimal in all scenarios. As the "cerebrum", System Agent is upgraded to an end-to-end foundation model with hundreds of billions of parameters, responsible for cross-domain collaboration and intent judgment. Navigation Agent, Vehicle Control Agent, and Chat Agent are "cerebellums", each responsible for their own tasks with efficient respective execution.
Empowered by MoLA 2.0, Xiaoyi Agent enables cross-service invocation across all scenarios, completes fuzzy semantics and composite mobility tasks at once, and connects to massive third-party agents in mobility, catering, and audio and video at the ecosystem level to build a closed-loop active service ecosystem.
In April 2026, Neusoft officially launched OneCoreGo? Global In-Vehicle Smart Mobility Solution 7.0 which focuses on AI and globalization. Leveraging OneMate AI's cross-agent collaboration capabilities, and relying on product matrixes and systems including One Map, One Sight, One Cloud, One Pay, One Store, One Link, and One Guard, Neusoft offers a comprehensive mobility solution with deep AI empowerment, global coverage, a rich ecosystem, and precise scenario matching.
Among them, the newly upgraded One Mate (AI mobility partner) is freed from rigid question-and-answer command interaction, and accurately understands the real needs expressed by users through in-depth semantic understanding and situation prediction. At the same time, One Mate has cross-agent collaboration capabilities and can link functional silos of all modules such as navigation, AR, payment, cloud, security, ecosystem, and vehicle connectivity to achieve cross-agent collaboration.
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