Recently, International Data Corporation (IDC) released the "China Large Model Platform Market Share, 2024" report. According to 2024 data, SenseTime achieved third place in China's large model development platform market with a 12.2% market share, firmly establishing itself in the industry's first tier.

**SenseTime Infrastructure Vinci Platform Drives Intelligent Transformation**

IDC noted that over the past year, competition in the large model platform sector has increasingly shifted toward intelligent agent development platforms, with vendors competing primarily on toolchain completeness, token invocation capabilities, and acquisition of leading clients.

The report defines large model platforms as comprehensive lifecycle management tools supporting large model training, fine-tuning, inference, and model deployment. As a representative example, SenseTime Infrastructure has created the Vinci large model development and service platform, integrating model deployment, inference optimization, and application development while deeply combining SenseDaily large model capabilities with open-source ecosystem features.

Core advantages include: - **Multi-modal Interaction**: Supporting voice, video, and text tri-modal input and output - **High-efficiency Inference Engine**: Equipped with multi-modal hybrid inference engine for optimized processing efficiency - **Model Lightweighting**: Providing model compression technology to reduce deployment costs and barriers - **Enterprise-grade RAG**: Ensuring accuracy, security, and controllability of knowledge retrieval

Additionally, leveraging SenseTime Infrastructure Vinci platform, the company has launched multi-industry AI solutions targeting embodied intelligence, AIGC, AI4S, and traditional industry intelligent transformation, creating comprehensive empowerment from scenario definition to business implementation.

**Industry Implementation: Vinci Platform Accelerates Value Realization**

Currently, SenseTime Infrastructure's Vinci large model development platform has been implemented across multiple industries and business scenarios including surveying and design, urban governance, smart ports, smart homes, and healthcare.

In surveying and design, SenseTime Infrastructure partnered with China Railway First Survey and Design Institute to create the China Railway Value Engineering Multi-modal Large Model Application Platform, marking the first application of multi-modal large models in intelligent inheritance and application of railway engineering design knowledge. The platform integrates heterogeneous data including text, drawings, and formulas, providing design personnel with five major functions: knowledge retrieval, intelligent Q&A, text generation, text review, and multi-modal dialogue, significantly improving railway engineering design efficiency and intelligence levels.

In urban governance, SenseTime has deeply participated in Shanghai Planning and Natural Resources Bureau's Cloud Universe Starry Sky industry foundation large model, providing integrated solutions including the Vinci large model service platform and SenseDaily multi-modal large model. This model deeply integrates data from territorial spatial planning and natural resources fields including academic materials, policies and regulations, technical standards, and approval results, possessing capabilities for integrated understanding of multi-modal data such as satellite imagery and planning drawings, providing intelligent support for urban spatial governance and scientific decision-making.

In government affairs, SenseTime Infrastructure created a compact AI innovation platform for a government institution. Based on the Vinci model development platform and its supporting model optimization, API invocation, deployment and monitoring services, the solution significantly simplified complex deployment engineering, achieving "plug-and-play" convenience and substantially lowering implementation barriers for AI applications in government scenarios.

IDC emphasized in its report that future competition among large model platforms involves not only model capability comparisons, but systematic competition encompassing toolchains, ecosystems, and industry implementation. Looking ahead, SenseTime will continue leveraging its powerful AI infrastructure, continuous iteration of SenseDaily large models, and Vinci platform innovation capabilities to serve more industry clients, providing full-stack empowerment for large-scale AI technology implementation through more efficient AI capabilities and more inclusive computing resources.