In today's rapidly advancing era of Agentic AI, AI is evolving from an auxiliary tool into a "digital employee" capable of collaboratively completing complex tasks. For investment institutions, tasks such as project screening, due diligence, risk analysis, and investment proposal writing involve a large amount of unstructured data and professional judgment. The traditional investment research model is increasingly unable to meet the demands of investment institutions for high efficiency, high quality, and data security.

AMD, in collaboration with Creative Evolution (Beijing) Technology Co., Ltd., launched the AI Investment Research One-Stop Solution, built on the AMD Ryzen AI Max+ 395 Mini AI Workstation. This solution integrates local large models, multi-agent collaboration, and private knowledge bases to bring a complete set of AI-native investment analysis and decision-making solutions to institutions such as one-person funds, small GPs, VC/CVCs, and family offices, achieving full-process intelligence from project screening, information verification, risk identification to investment research report generation.

Solve the pain points of traditional investment research and make AI a digital investment research team

Investment institutions face massive amounts of business plans (BPs), industry research, financial data, legal documents, interview summaries, and public information every day. In the traditional model, a lot of work relies on investment managers reading, cross-validating, and making judgments based on experience, which not only limits efficiency but is also susceptible to individual experience differences.

AInvestor deeply integrates AI capabilities into the investment research process, focusing on solving four major industry challenges:

• Large volumes of project materials make it difficult to complete initial screenings in a timely manner, leading to the risk of missing high-quality projects

• Due diligence information sources are scattered, requiring time-consuming and labor-intensive manual cross-verification

• Investment experience is hard to form into organizational assets, and excellent methods are difficult to replicate

• Sensitive information such as BPs, financial data, and legal documents is not suitable for uploading to public AI platforms, presenting compliance and security risks

AMD Ryzen AI Max+ 395: Providing strong computing power for edge AI investment research

Compared with traditional cloud-based AI solutions, the AInvestor AI investment research one-stop solution adopts a Mini AI workstation form, characterized by low power consumption, small size, and ease of deployment, allowing direct deployment on desks, conference rooms, or roadshow sites, bringing AI capabilities into every aspect of investment work.

It utilizes the AMD Ryzen AI Max+ 395 processor, with 16 cores and 32 threads,NPU computing power of up to 50 TOPS, supporting a maximum of 128GB unified memory, of which up to 96GB can be used as GPU memory, with memory bandwidth of approximately 256GB/s, capable of supporting 122B parameter-level MoE local large models running and long-context inference tasks, providing sufficient computing power for complex investment research analysis.

Multi-agent collaboration makes AI simulate a real investment research team

AInvestor, based on the AMD Ryzen AI Max+ 395 Mini AI Workstation, has constructed multiple professional agents around real investment processes, including market agents, technical agents, business agents, financial agents, legal agents, risk agents, and report agents. Each agent collaborates based on the division of labor within a real investment team to conduct cross-analysis of the same project and ultimately produce a unified output, which includes quantitative scores, qualitative judgments, core conclusions, key verification points, and next steps for due diligence recommendations in standardized investment analysis results, providing investment managers with more comprehensive and efficient decision support.

Private knowledge base allows institutional experience to continuously accumulate

For investment institutions, what is truly valuable is not just the completion of a one-time due diligence but the continuous accumulation of the institution's own knowledge assets.

AInvestor supports the construction of a local RAG private knowledge base, consistently accumulating historical investment projects, industry materials, investment preferences, risk tags, case libraries, and due diligence templates, forming the institution's own "digital brain." As projects continue to accumulate, the system can continuously optimize analytical capabilities, transforming excellent investment experience into reusable and inheritable standardized workflows.

This capability not only enhances team collaboration efficiency but also effectively reduces the risk of knowledge loss due to personnel turnover.

Edge-cloud collaborative desensitization mechanism balances local security and cloud-based intelligent enhancement

Moreover, business plans, financial materials, legal documents, interview records, and investment proposals can all be processed locally, effectively reducing the risks associated with uploading sensitive data to public networks. For clients who need to combine public information and external data, AInvestor can also provide an edge-cloud collaborative model based on the institution's security strategy, processing basic information locally, completing the identification, classification, and desensitization of sensitive information before using the cloud for enhanced analysis. This allows investment institutions to process highly sensitive materials using edge workstations while being able to utilize cloud models for public information retrieval and analysis within a controlled environment, striking a better balance between data security, compliance management, and AI analytical efficiency.

AI investment research helps investment institutions move towards an intelligent future

Currently, AInvestor has commenced applications and validations in institutions such as Zhongguancun Capital, Yuanzi Fund, and other state-owned and market VC funds, primarily used for real project analysis, internal investment research support, AI investment workstation testing, and early project evaluations.

With the ongoing development of Agentic AI, AI is gradually becoming an important productivity tool for investment institutions. Relying on the powerful edge AI capabilities of the AMD Ryzen AI Max+ 395 processor, AInvestor deeply integrates large models, multi-agent collaboration, and private knowledge management, creating a safer, more efficient, and intelligent new paradigm of AI investment research for the investment industry, enabling AI to truly become a long-term trusted digital partner and infrastructure for investment institutions.

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