# qinainai.com - **Website:** - **Primary alias:** `qinainai.com` ## Description 企奶奶 is an AI-powered enterprise information platform designed to make company research as simple as asking a question. Built on the DeepSeek large language model and optimized for business information queries, it provides conversational access to data about companies across their life cycle. Users can look up basic company details, operating conditions, ownership structures, qualifications, and updates, supporting commercial decision-making, market research, and partner assessments. The platform offers company search, advanced search, batch search, and search history, alongside AI responses that can use deeper reasoning and web search. Example queries include finding company contact details, identifying businesses by location or industry, and researching specific organizations. A recommended-company section and industry browsing categories help users discover businesses across areas such as manufacturing, construction, transport, retail, finance, education, healthcare, and technology services.企奶奶 is available through its website, with mobile access also indicated. By combining searchable enterprise data with natural-language interaction, it aims to help users find relevant company information efficiently. ## Industries - 🗺 Reference Materials - 🗺 Public Records and Directories _(under Reference Materials)_ - 🖥 Computers Electronics and Technology - 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_ - 📊 Business and Consumer Services ## Logos & icons - logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idQC3X7i5I/w/328/h/100/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1790884696107) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Blue Ribbon | #0055ff | accent | | Shark | #212529 | dark | | Malibu | #6ea8fe | light | ## Fonts - var(--bs-font-sans-serif) — asset _(custom)_ - var(--bs-font-sans-serif) — asset _(custom)_ --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._