Turn AI Ideas Into Working Products

VenusAI Lab is a research-to-product AI studio helping researchers, startups, and technical teams build prototypes, custom AI agents, research tools, and intelligent workflows.

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What We Build

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AI Prototypes

We turn early-stage AI ideas into interactive prototypes, proof-of-concept demos, and MVPs.

A woman plays chess against a robotic arm, showcasing AI innovation in a modern setting.

Custom AI Agents

We build custom AI agents and copilots for focused knowledge tasks: search, reasoning, writing, analysis, and automation.

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Research Tools

We design practical tools for researchers, from literature workflows to experiment dashboards and research demo platforms.

A researcher in white clothing interacting with a virtual AI avatar assistant and workflow automation interface.

Workflow Automation

We automate repetitive knowledge work by connecting AI models with documents, databases, and everyday business tools.

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Discover the Story Behind VenusAI Lab

VenusAI Lab works at the point where research ideas become usable tools. We help teams turn papers, datasets, internal documents, and repeated workflows into prototypes, dashboards, agents, and web systems that can be tested in real use.

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Our milestone

2023

VenusAI LTD (ShanDong) was founded.

VenusAI LTD (ShanDong) was founded to support AI education, software development, and practical AI product services for research and industry.

2024

Published Learn Artificial Intelligence with Me with Tsinghua University Press.

In collaboration with Tsinghua University Press, we published the book series 《跟我一起学人工智能》 to make AI knowledge easier to learn, teach, and share.

2025

Developed the 4D Avatar project with the University of Glasgow Visual Lab.

We collaborated with the University of Glasgow Visual Lab on the 4D Avatar project, strengthening academic exchange around visual AI and digital human technologies.

2026

VenusAI LTD (Scotland) was founded.

VenusAI LTD (Scotland) was founded to support long-term China–UK strategic collaboration and international development in AI research, education, and products.

How We Make AI Work Useful

A good AI build is not just a model call. It needs the right context, review steps, interface, and handoff plan so people can actually use it in their work.

We start by mapping the task, inputs, users, and expected output. Then we build a small working version that can be tested before expanding the scope.
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Step 1 — Scope the workflowCompany
Typical project materials include workflow diagrams, prototype screens, data or document pipelines, evaluation notes, and a clear plan for the next build stage.
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Step 2 — Build and hand offCompany

Build a useful first version

Send us the workflow, source materials, users, and output you need. We’ll help turn it into a focused prototype or working tool.

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