Multi-agent orchestration system for generating investment memos using LangGraph
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Updated
Oct 2, 2026 - Python
Multi-agent orchestration system for generating investment memos using LangGraph
From company name to investment decision. Sieve scores startups across 7 dimensions so you know who's worth a meeting.
Grounded investment-committee memos: the model extracts, Python does the math, you approve before prose exists.
Equity research and valuation of Costco (COST) as of 31 Jan 2025: SEC filing data pipeline, driver-based three-statement forecast, DCF with reverse DCF, comparable companies, sensitivity analysis, linked Excel model, memo and slides. Academic case study, not investment advice.
Autonomous agent that researches any company — searches news, analyses competitors, summarises financials, and writes a structured investment memo using LangGraph, Tavily, and OpenRouter.
Autonomous multi-agent due diligence workflow for tech startups. A LangGraph pipeline extracts pitch-deck metrics, verifies them against live web data, benchmarks the financials, detects Red Flags, and exports a board-ready investment memo as PDF.
Institutional-format industrial investment memo and acquisition models — Torrance and Redlands, core-plus fund mandate. USC RED 437.
Personal archive of single-name investment pitches — thesis-first equity research with PDF memo + DCF model.
DealLens by Marketlogic Investors LLC — VC deal-analysis platform with an editorial scrollytelling memo (14 chapters across 5 acts). Modular agents + cited evidence + team-evaluation scoring.
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