On Sept 16, Baidu's Shen Dou proposed the "industrial agent operating system" at the 2026 Intelligent Economy Forum. He said large models are shifting from tech breakthroughs to real economic force; industrial agents link model capabilities with macroeconomic growth, turning AI advances into business results.....
On Sept 10, Moonshot AI launched the Kimi Enterprise Partner Program to bring large models into core business scenarios. Through ecosystem cooperation, it bridges the last mile of AI deployment and trains Field Deployment Engineers (FDE) to solve deep model-business integration.....
During the South Korea-France Presidential Summit, Samsung Electronics announced a collaboration with French AI startup Mistral AI, integrating its cutting-edge services and solutions into its semiconductor business to empower chip design and manufacturing. Mistral AI was founded in 2023 by former core employees of Google's DeepMind and Meta, and has high-performance large language models such as Mistral Large.
Zhipu disclosed next-gen large model progress at its 2026 H1 earnings meeting: committed to a large base-model route, aiming for full-scale business use on launch day to solve impractical large models. Technical parameters not disclosed; will advance the underlying base.....
Provide high-quality AI interface services, adaptable to multiple businesses, support multiple models, and offer favorable prices.
An AI assistant with over 550 AI prompts for business, marketing, and education, integrating multiple models.
Fundamental models and proxies in the business sector
Journalist is an AI-powered automatic blog that generates high-quality articles automatically. Using the latest natural language processing technology and deep learning models, it can automatically generate hundreds of high-quality articles for your business. No manual writing required, saving you time and effort. Journalist also offers a range of features and pricing plans suitable for businesses and individuals of all sizes.
Google
$0.49
Input tokens/M
$2.1
Output tokens/M
1k
Context Length
Openai
$2.8
$11.2
Xai
$1.4
$3.5
2k
$7.7
$30.8
200
-
Anthropic
$105
$525
$0.7
$7
$35
$17.5
$21
Alibaba
$2
$20
$4
$16
Baidu
128
$1
$10
256
$6
$24
ai21labs
AI21 Jamba 1.5 is a series of advanced foundation models with powerful long context processing capabilities and efficient inference speed, suitable for various business scenarios.
Wren Engine is a semantic engine designed for MCP clients and AI agents, providing semantic layer support to enable AI to accurately understand enterprise data models and business logic. It supports multiple data sources and is embedded in MCP clients to ensure the accuracy and governance of data interaction.
Proxy Feishu robots through the MCP server to achieve the integration of business logic between LLM models such as Claude/Cursor and Feishu robots
A server that converts traditional Web APIs into MCP tools, supporting batch API registration and request header management, simplifying the docking between business systems and large models.
MCP-ANY-REST is a REST API connector based on the Model Context Protocol standard. It enables secure and efficient connection between AI models and business systems through the ZML configuration language, supporting service orchestration and token authentication.
This project is a developer documentation about the Model Context Protocol (MCP) Server, which details how to build, run, and integrate the MCP Server to achieve a secure connection between AI models and real-time data, tools, and business logic.
The Triplewhale MCP Server is a server based on the Model Context Protocol (MCP) standard, used to connect large language models (such as Claude) with the Triplewhale platform to achieve business data query and analysis functions through natural language.
The Triplewhale MCP Server is a server based on the Model Context Protocol (MCP) standard, used to connect large language models (such as Claude) to the Triplewhale platform, enabling business data query and analysis through natural language.
An open - source project researching the integration of Retrieval Augmented Generation (RAG) with Multi - Cloud Processing (MCP) servers, focusing on the application of free models in business software and providing a modular learning path and practical cases.
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