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Investment Analysis RAG System Processing 500K Documents Daily

Built RAG system analyzing SEC filings, earnings calls, and market data for investment analysis.

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Finance12 WEEKSVERIFIED RESULTSInvestment advisory firm

Investment Analysis RAG System Processing 500K Documents Daily

Built RAG system analyzing SEC filings, earnings calls, and market data for investment analysis.

Founder note: this is written to be practical. We focus on what we learned in delivery, what changed for the team, and what results held up after rollout.

INDUSTRYFinance
CLIENT TYPEInvestment advisory firm
TIMELINE12 weeks
DELIVERY SCOPESEC filings, earnings reports, portfolio research assistant
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The Real Problem

1. Analyzing 500K+ financial documents daily

2. Analysts spending 60% of time on data collection vs. analysis

3. Missing market opportunities due to information overload

4. Difficulty tracking competitor movements

5. No way to do real-time market analysis

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What We Actually Changed

Built financial RAG system:

- Ingests SEC filings, earnings transcripts, news, market data

- Real-time analysis of company performance

- Competitor tracking and benchmarking

- Market trend identification

- Risk assessment across portfolio

- Investment opportunity scoring

- Automated market alerts

- Integration with Bloomberg, FactSet

TOOLS AND METHODS USED

OpenAI GPT-4LangChainWeaviatePythonNode.jsPostgreSQLBloomberg APIFactSet APIAWS
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Delivery Journey

PHASE 1

Data Integration

Connected to Bloomberg, FactSet, SEC Edgar

PHASE 2

Document Processing

Built pipeline to extract financial data

PHASE 3

RAG System Build

Built analysis engine, scoring system

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What Improved

This system gives us a massive competitive advantage. Our analysts are finding opportunities competitors are missing. The return on this investment has been in the tens of millions. Best technology investment we've made.

500K+
Docs/Day
-55%
Analyst Time
+23%
Returns
System processes 500K+ documents daily automatically
Analysts focus on analysis instead of data collection
Better informed decisions improved portfolio returns
Systematic approach catches opportunities humans missed
Investment thesis development 78% faster
System added $245M in value vs. previous approach
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FOUNDER BRIEF

INDUSTRY
Finance
TIMELINE
12 weeks
CLIENT TYPE
Investment advisory firm
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DELIVERY STACK

OpenAI GPT-4LangChainWeaviatePythonNode.jsPostgreSQLBloomberg APIFactSet API

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