Result
- ▫️Due diligence time reduced by 62% for standard deals
- ▫️ Coverage expanded from 35 to 120+ companies per analyst
- ▫️ Investment memo quality scored 4.8/5 by managing partners
- ▫️ Risk identification improved by 40% compared to manual process
- ▫️ ROI of 6.4x in first year through faster deal processing
Investor Intelligence Co-Pilot AI-Powered Financial Research & Analysis Platform
Client Overview
- ▫️Confidential (mid-sized private equity firm)
- ▫️Industry: Investment Banking / Private Equity Engagement
- ▫️Duration: 14 weeks Team
- ▫️Deployed: 2 AI engineers, 1 financial analyst, 1 data integration specialist from TechSteck Solutions
Objectives
- ▫️Analyze investment documents at 10x human speed
- ▫️Generate comprehensive investment memos with evidence
- ▫️Compare competitors across complex financial metrics
- ▫️Identify risks from regulatory filings and disclosures
- ▫️Accelerate due diligence process by 50%
Solution Overview
TechSteck Solutions implemented a comprehensive RAG system using:
- ▫️GPT-4 for financial reasoning and analysis
- ▫️AlphaSense API for financial document access
- ▫️Pinecone for vector storage of financial data
- ▫️Custom Financial NLP models for specialized extraction
- ▫️RAG-enhanced risk assessment framework
Workflow Architecture
- 1. Financial Document Processing
- ▫️Automated ingestion of pitch decks, term sheets, and financial statements
- ▫️SEC filing parser for 10-Ks, 10-Qs, and prospectuses
- ▫️Earnings call transcript analysis with sentiment scoring
- ▫️Custom chunking preserving financial context and relationships
- 2. Investment Analysis & Synthesis
- ▫️Comparative analysis across competitors and sector benchmarks
- ▫️Financial ratio calculation and historical trending
- ▫️Market positioning assessment based on multiple data sources
- ▫️Executive team background analysis and key person risk
- 3. Automated Memo Generation
- ▫️AI-generated investment thesis with supporting evidence
- ▫️SWOT analysis derived from multiple document sources
- ▫️Financial projections with sensitivity analysis
- ▫️Risk factors ranked by severity and likelihood
- 4. Risk Heatmap & Monitoring
- ▫️Regulatory and compliance risk identification
- ▫️Financial statement red flag detection
- ▫️Ongoing monitoring of portfolio companies
- ▫️Market condition alerts affecting investment thesis
Conclusion
By leveraging RAG and financial AI capabilities, TechSteck Solutions transformed the client’s investment research process—accelerating deal flow, improving risk assessment, and enabling analysts to focus on high-value strategic decisions rather than document processing.
