On the evening of September 17, WENGE AI officially launched its SciencePro Panshi Intelligent Research Decision-Making Platform. As a one-stop research decision-making platform, SciencePro integrates core capabilities including innovation evaluation, ScienceHub, and a research intelligent agent plaza. By combining evaluation upfront, on-demand access to research resources, and reuse of research methodologies, SciencePro leverages specialized intelligent agents to organize task execution, providing researchers with continuous support from topic selection and experimental design through to computational analysis.

In terms of innovation evaluation, SciencePro addresses scenarios such as project pre-assessment, proposal reviews, and paper pre-screening, helping researchers identify potential issues early and refine their research plans. The platform can analyze the novelty, redundancy, and innovativeness of research, and can also reference the review standards of target journals and academic conferences to evaluate papers on academic contribution, technical rigor, and reproducibility. It then provides revision suggestions, offering guidance for topic selection, project initiation, and manuscript submission. According to the company, the innovation evaluation feature draws on a database covering 32 million research project records, 700,000 industrial R&D reports, and 270 million papers and patents, along with nearly 100 sets of evaluation standards from research programs, journals, and academic conferences. The platform uses multi-agent collaboration to perform retrieval, analysis, and evaluation, generating structured reports; final evaluation and research decisions remain the responsibility of researchers and review experts.

For research resource access, ScienceHub integrates over 300 specialized databases, more than 2,000 research tools, and over 7,000 research skill modules. It allows users to call upon literature, data, and computational tools based on task requirements, and also enables researchers to package research methods and analytical workflows as skill modules for upload, sharing, and reuse by peers. For specialized task execution, the research intelligent agent plaza provides 13 expert agents spanning the full research lifecycle and multiple disciplines, covering areas such as quantum computing simulation. These agents support tasks including research design, material stability analysis, molecular physicochemical property evaluation, and gene expression data analysis. The agents are structured at introductory, intermediate, and advanced levels, serving the learning and research needs of undergraduate, master's, and doctoral students at different stages. Research institutions and enterprises can also build proprietary agents tailored to their own data, tools, and workflows.

SciencePro offers three service models: individual subscription, institutional SaaS, and on-premise deployment. Individual subscriptions include a free tier and Plus membership to meet both everyday research and advanced usage needs; institutional SaaS provides a dedicated team platform with accompanying services; and on-premise deployment supports institutions in running the platform within their own environment, with functional modules configured as needed. The launch event also highlighted two collaboration signings: WENGE AI signed a strategic cooperation agreement with the Talent Exchange and Development Center of the Chinese Academy of Sciences, and completed a tripartite agreement with Beijing Chuanglian Education Investment Co., Ltd. and the Modern Vocational Education Research Institute. Together with the talent center, WENGE AI will combine artificial intelligence technology with research talent service resources to jointly promote the adoption of SciencePro in university research and educational settings. Previously, the talent center has already assisted hundreds of researchers in registering for SciencePro accounts. The tripartite collaboration between WENGE AI, Chuanglian Education, and the Modern Vocational Education Research Institute centers on vocational education and talent cultivation, exploring pathways that integrate decision-making AI with teaching practice.