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RESEARCH & DEVELOPMENT
Enterprise-level AI infrastructure
Supports information recording for all engineers, including data, code, process descriptions, application execution, etc. It can also assist in code generation and error correction with AI, empowering more engineers with programming and validation capabilities
Ready-to-use enterprise AI knowledge base
Peerup has optimized first-class LLM foundations with hybrid calls, combining RAG and access control to create an enterprise-level ready-to-use knowledge base. Users can input commonly used industry knowledge, manuals, questions, etc., into the knowledge base, allowing team members to ask questions in natural language and receive answers directly
Admins add accumulated domain knowledge to the knowledge base
Employees can access information at any time
On-demand AI Copilot
Peerup Copilot integrates multiple capabilities such as code writing, code correction, knowledge base information retrieval, and image and file recognition. It can be invoked at any time in notes, DevEnv, or the bottom right corner of the page to interact with AI and obtain professional Q&A and assistance
Use Peerup Copilot to process data by writing code in natural language
Code correction by Peerup Copilot
Data governance in professional fields
Peerup provides a unified data format for engineering, serving as a platform for the storage, processing, and flow of enterprise data. Data can be parsed, edited, calculated, visualized, and presented in notes, effectively unifying the governance of various types of enterprise data
Perform basic calculations on the parsed mapping data
Clean, transpose, and visualize the mapping data
Engineering R&D Workflow
For mature and common automation scenarios, peerup effectively promotes information and resource sharing among employees through in-org apps, significantly reducing operational costs and enhancing application reuse rates. Additionally, the notes can not only run applications but also efficiently handle notifications, task management, team discussions, data processing, and visualization in various collaborative workflows
Users package the "DPW Calculator" into
an in-org application
Run the application in note
Engineers among different teams collaborate on data simulation
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