Intelligent Investment Research Solution
Business Scenarios and Pain Points
Pain Points
01
Limited Knowledge Depth
Traditional research databases have collected and organized unstructured data such as reports, meeting notes, news, and announcements, but still lack deep domain knowledge organization and analysis built on top of that data.
Pain Points
02
Hard to Cut Through Data Noise
Investment research data is often mixed, redundant, and noisy. Traditional methods cannot cut through the noise or extract key drivers, and data hallucinations can easily interfere with judgment and decisions.
Pain Points
03
Low Processing Efficiency
Meeting notes, report skimming, and research writing rely heavily on manual work. Distilling Chinese and English materials and extracting key data takes too long, delaying output.
Pain Points
04
Weak Decision Support
Without smart stock selection, data reasoning, and strategy generation, research conclusions are hard to trace and cannot efficiently support investment decisions or advisory services.
Intelligent Investment Research Solution
Semantic Understanding and Domain Knowledge Enrichment
Built on the Mengzi pretraining system, it learns from massive financial corpora and automatically extracts deep domain Q&A pairs from reports, announcements, and sentiment data to enrich the research database.
Precise Analysis Across Noisy Multi-Source Data
By learning from industry-wide financial data and research frameworks, it cuts through noisy multi-source data, extracts key drivers, and keeps research conclusions traceable.
Smart Meeting Processing for Faster Distillation
Trained on financial meetings and roadshow corpora, it automatically extracts key data and Q&A pairs from Chinese and English meeting materials and generates standardized smart meeting notes.
Decision Engine for Research Services
By learning stock selection and research service logic, it can automatically build decision engines and generate research reports and service plans for strategy generation and client service needs.
Business Value
Stronger Research Knowledge Analysis
By refining research questions and business knowledge, it continuously improves the model's domain knowledge and generates deeper, business-focused questions for faster analysis.
Higher Retrieval Efficiency
Cuts traditional research search time dramatically and improves retrieval efficiency by 20x, helping researchers find core information faster while reducing time and labor costs.
Shorter Output Cycle
Automatically handles report drafting, note generation, and data organization, significantly shortening research workflows and improving response speed.
Application Cases
Products
About Us
Business Cooperation Email
Address
Floor 16, Fangzheng International Building, No. 52 Beisihuan West Road, Haidian District, Beijing, China.
© 2023, Langboat Co., Limited. All rights reserved.
Large Model Registration Code：Beijing-MengZiGPT-20231205
Business Cooperation:
bd@langboat.com
Address:
Floor 16, Fangzheng International Building, No. 52 Beisihuan West Road, Haidian District, Beijing, China.
Official Accounts:
© 2023, Langboat Co., Limited. All rights reserved.
Large Model Registration Code：Beijing-MengZiGPT-20231205
