What It Does
The Angel & Seed module is calibrated for early-stage investments where traditional data is sparse. Built on Anthropic's Claude AI, the 8-stage adversarial pipeline focuses on founder verification, market validation, and competitive landscape analysis — the areas where early-stage misrepresentation is most common. It analyses documents in 100+ languages and produces 6 IC-ready reports per deal in 35 minutes.
Who Uses It
Angel investors managing personal deal flow, seed-stage VC firms, family offices exploring early-stage allocations, and accelerator programmes evaluating cohort applicants.
How It Works
Upload
PDF or PowerPoint. The system accepts pitch decks, information memoranda, project documents, and financial models in 100+ languages.
Extract
Document content is extracted in approximately 5 seconds — text, tables, charts, metadata, and embedded images via OCR.
Claim extraction
The system identifies every verifiable claim in the document — typically 40-65+ claims per deal. Revenue figures, market size, team credentials, partnership claims, regulatory assertions.
Country risk assessment
Live data from IMF WEO, World Bank WGI, and Transparency International for 50 countries. Composite risk scores across 5 pillars: economic, governance, corruption, external, and stability.
Feasibility analysis
Technical, financial, and regulatory feasibility assessment. DSCR, IRR, NPV calculations. Reference class forecasting to benchmark claims against comparable projects.
Cross-reference verification
Every claim is checked against 15+ data sources: SEC EDGAR, company registries, financial databases, web search, Wayback Machine. Premium integrations available: Bloomberg, Moody's, S&P Capital IQ, Refinitiv, PitchBook, Preqin, Orbis, CB Insights.
Background checks
All principals and key personnel verified against public records, corporate registries, sanctions lists, and prior company histories.
Report generation
6 IC-ready reports produced in 35 minutes: Decision Memo, Claim Verification Report, Feasibility Assessment, Stage Gate Report, Claim Integrity Delta, One-Page Deal Summary.
Key Capabilities
8-stage adversarial pipeline — purpose-built for early-stage deal flow
100+ languages for document analysis (powered by Claude AI)
Founder credential and track record verification against public records and corporate registries
Market size validation — independent TAM/SAM/SOM cross-referencing
Competitive landscape mapping — identifying undisclosed competitors and market entrants
Revenue and growth claim verification against third-party analytics (SimilarWeb, Sensor Tower)
Full deal lifecycle — screening through post-investment monitoring
Institutional knowledge base — pattern recognition across all early-stage deals analysed
6 IC-ready reports per deal in 35 minutes
Cap table and dilution analysis for round-over-round assessment
What Makes It Different
Early-stage deals have the least data and the highest misrepresentation risk. DiligenceWorks is AI-native — not a chatbot or an MCP connector — and is purpose-built to verify the claims that matter most at seed stage: founder backgrounds, market sizing methodology, competitive positioning, and unit economics. The platform has identified unverifiable founder credentials, inflated growth metrics using peak-month figures, and overstated competitive moats across real early-stage evaluations.
Frequently Asked Questions
Can DiligenceWorks screen deals with just a one-page summary?
Yes. The Angel & Seed module is designed for minimal documentation. It will analyse whatever is provided and explicitly flag what information is missing and should be requested.
How does founder verification work?
The module cross-references stated education, employment history, and prior ventures against public sources including LinkedIn, company registries, patent databases, and academic institution records.
Can this handle deals with very limited data?
Yes. The Angel/Seed module is specifically calibrated for sparse-data environments. It compensates by deepening founder verification, market validation, and competitive landscape analysis — the areas where signal matters most at early stage.
What languages can early-stage deal documents be analysed in?
100+ languages via Claude AI. This is particularly relevant for cross-border seed investments in non-English markets.
Does it build institutional memory across seed deals?
Yes. Every deal analysed adds to your permanent knowledge base. Common early-stage patterns — inflated TAMs, unverifiable credentials, peak-month growth metrics — are recognised and flagged with increasing accuracy across your deal history.
See Angel & Seed Investment Screening in Action
Book a discovery call to see how the Angel & Seed Investment Screening module can strengthen your investment process.
Book a Discovery Call