Mininglamp Technology (2718.HK) Joins Hands with PATEO, Extending Edge AI Services and Opening Up a Trillion-Dollar Incremental Market

PATEO (2889.HK) and Mininglamp Technology (2718.HK) signed a strategic cooperation framework agreement. The two parties will integrate Mininglamp Technology's capabilities in AI large models, AI Agent suites, and precision marketing withPATEO's resources in edge-side hardware entry points, AI computing power infrastructure, and in-vehicle application scenarios. Together, they will build an "AI × Vehicle × User Demand" chain platform.

Recently,PATEO (2889.HK) and Mininglamp Technology (2718.HK) signed a strategic cooperation framework agreement. The two parties will integrate Mininglamp Technology's capabilities in AI large models, AI Agent suites, and precision marketing withPATEO's resources in edge-side hardware entry points, AI computing power infrastructure, and in-vehicle application scenarios. Together, they will build an "AI × Vehicle × User Demand" chain platform. Utilizing token economics as the underlying commercial logic, the platform aims to open up a complete closed loop of "brand marketing budget — vehicle-side AI computing power consumption — user scenario-based consumption."

On June 12, 2026, the dayPATEO published the news on its official WeChat account, Mininglamp Technology's (2718.HK) intraday share price once surged by over 30%, eventually closing up 21.17%. This cooperation between Mininglamp Technology andPATEO signifies a crucial leap for the company's "Agentic AI" strategy from marketing, office, and content production scenarios into the trillion-dollar track of intelligent connected vehicles.

Extension of Edge AI Service Scenarios and Evolution of Business Models

In 2025, Mininglamp Technology's first-year revenue from Agentic Services broke through RMB 100 million, covering four major scenarios: performance advertising, brand advertising, content e-commerce, and micro-drama production. This cooperation marks the first extension of this business segment into in-vehicle consumption scenarios.

Specifically, when users pass by restaurants, arrive at commercial districts, or wait while charging, the AI Agent will proactively perceive their needs and provide one-stop consumption fulfillment services such as AI food ordering, AI shopping guides, and AI reservations. This upgrades the smart cockpit from an "information display window" into a "consumption decision-making entry point."PATEO will provide the in-vehicle AI computing power infrastructure, AI Box hardware entry points, and vehicle-side application scenarios. The two parties will jointly expand the presence of brands in catering, retail, transportation, and other fields into the in-vehicle ecosystem, establishing a full-link effect tracking system to realize a pay-for-performance marketing model.

Furthermore, both parties are jointly building an "AI × Vehicle" technical foundation to achieve edge-cloud collaborative scheduling—where high-frequency interactions are processed locally on the vehicle side, complex tasks invoke cloud-based large models, and access standards and data exchange formats are co-developed.

It is understood thatPATEO provides the in-vehicle AI computing power infrastructure, while Mininglamp Technology exports AI Agent technology and brand industry service expertise. Together, they will build a precision recommendation engine, establishing a pay-for-performance marketing model and a multi-party clearing and settlement mechanism. The brand's marketing budget will be billed based on the actual invocation volume and output of AI services. Based on their respective contributions to marketing performance, computing power supply, and scenario entry points, both parties will explore a sustainable commercial distribution mechanism.

The industry currently faces a paradox where "the more popular the AI functions are, the higher the inference costs become." This cooperation aims to integrate in-vehicle AI computing power consumption, Agent tasks, and brand marketing budgets into a unified value measurement and distribution system. This will realize a transformation from a "one-time hardware fee" to a continuous revenue-sharing model of "hardware entry point + AI platform + token value circulation."

Industrial Securities stated that global large models are undergoing intensive iterations, and commercialization is accelerating. Since 26Q2, Claude Code and GitHub Copilot have adjusted their billing methods, causing users' token bills to generally double; Doubao is also about to introduce fees, and the institution remains optimistic about the accelerating commercialization of large model vendors.

The cooperation between Mininglamp Technology andPATEO is a critical link in this ecosystem. The two parties will jointly formulate measurement standards for AI service consumption and build an "AI × Vehicle" technical foundation. Its commercialization progress will directly serve as one of the core pillars forPATEO's growth potential, and will similarly feed back into the value assessment of Mininglamp Technology's large model commercialization.

Entering a Trillion-Dollar Market Incremental Window; Alliance Between Giants Drives Product Competition Upgrades

This cooperation propels Mininglamp Technology onto a transition path from being a niche-track AI service provider to an incremental market participant in automotive AI agents, opening up an incremental space that is multiple times the size of its existing Agentic Services revenue volume.

At the beginning of June, Jensen Huang announced at the GTC Taipei conference that AI has officially transitioned from the large language model stage into the era of Agentic AI, characterized by the capacity to autonomously observe, reason, plan, and invoke tools.

It is understood that the intelligent connected vehicle track is experiencing exponential growth. The scale of China's intelligent driving market reached RMB 455 billion in 2025 and is expected to further grow from RMB 580 billion to RMB 1.56 trillion between 2026 and 2030, representing a compound annual growth rate (CAGR) of approximately 28%. By 2029, the market scale of China's L2+ advanced intelligent driving solutions will grow to over RMB 150 billion, with a CAGR of 33.7% from 2024 to 2029.

The global automotive AI agent market was approximately USD 1.479 billion in 2025 and is projected to reach USD 13.681 billion by 2032, with a CAGR of 43.6% from 2026 to 2032. Concurrently, the market scale of China's smart cockpit solutions reached RMB 129 billion in 2025 and is expected to reach RMB 299.5 billion by 2029.

Public data shows that the scale of China's enterprise-grade AI agent market reached RMB 21.2 billion in 2025 and is expected to reach RMB 44.9 billion in 2026, doubling year-on-year. By 2029, the market is expected to reach RMB 332 billion, exhibiting a compound annual growth rate of 107% from 2024 to 2029.

According to public disclosures, Mininglamp Technology's technical foundation has constructed a three-tier product matrix comprising Mano-P (an edge-side GUI-VLA agent model), Cider (an inference acceleration framework), and Octo (an open-source Agent collaboration platform). This makes it the only AI company on the Hong Kong stock market to simultaneously possess the four-layer capabilities of edge-side models, inference engines, Agent collaboration platforms, and hardware entry points.

Since the beginning of 2026,PATEO has consecutively landed multiple heavyweight collaborations with companies such as NVIDIA and Horizon Robotics. Its AI BOX solution has secured a mass-production nomination for a new generation of smart models from a leading OEM new energy vehicle automaker, marking the transition of AI BOX from technical verification to commercial implementation.

Mininglamp Technology's edge-side AI technology stack—comprising the Mano-P edge-side GUI model (ranked 1st globally on OSWorld), the Cider inference acceleration framework, and the Octo multi-Agent collaboration platform—shares a natural technical synergy with PATEO's cockpit domain controllers and AI Box hardware. The essence of this cooperation is a direct validation of Mininglamp Technology extending its edge-side AI capabilities from B2B scenarios (enterprise marketing, content production, meeting assistance) to B2C scenarios.

Leveraging its accumulation in the fields of edge-side AI and Agentic Services, Mininglamp Technology is poised to occupy a scarce marketing-side ecosystem position in the second half of automotive intelligence, achieving a leap from being the first Agentic AI stock on the Hong Kong stock market to a systemic paradigm of AI-powered industrial upgrading.

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