MatwingsVenus®, a Shared AI Lab

MatwingsVenus^® is an AI platform for life science research and design.

Think of it as a research assistant: after you input a research goal or protein sequence, the platform helps you with literature review, sequence analysis, structure prediction, mutation design, experiment plan organization, and more. For projects that need further validation, the platform can also connect to wet-lab services, bridging computational design and experimental validation to reduce communication and trial-and-error costs from idea to result.

The wet-lab cycle depends on experiment type, sample count, and specific services requested.

Generally, standardized experiments have a relatively stable timeline; if custom protocols, multiple rounds of optimization, or specialized assays are involved, the duration will extend accordingly. Before placing an order, we will assess the timeline based on your experimental needs and provide a clear schedule.

The Xiao Wu Agent is primarily responsible for research analysis, experiment design, computational simulation, and documentation, which can typically be completed faster; the actual wet-lab cycle is based on the final confirmed experiment plan.

We take the security of user-uploaded sequences, structure files, and research data very seriously. The platform independently manages user-uploaded private sequences, structure files, experimental data, and internal corporate materials, using them solely for analysis, design, experiment coordination, and result delivery authorized by the user.

Without user authorization, the platform will not use related data for internal R&D, model training, or other projects, nor will it share or transmit them to third parties or other customers.

For undisclosed targets, pre-patent data, or internal corporate R&D materials, a confidentiality agreement can be further signed and an enterprise-grade data management solution can be adopted.