Screen thousands of stocks across major exchanges, deep-analyze candidates with AI, and generate comprehensive investment research reports — all in one pipeline.
Global stock markets list tens of thousands of companies. Thoroughly analyzing even a fraction of them — reading annual reports, evaluating management, assessing competitive moats — takes weeks of expert work.
Our value investing strategy has consistently outperformed the S&P 500 over the past 20 years. By combining rigorous quantitative screening with deep qualitative analysis, we identify high-quality undervalued companies before the broader market catches on.
Our edge comes from systematically exploiting market inefficiencies in under-analyzed stocks. While institutional investors chase the same large-cap names, our AI-powered screening identifies high-quality businesses trading at significant discounts to intrinsic value across global markets.
The strategy remained resilient during the 2008 financial crisis and 2020 pandemic crash, recovering faster than the broad market by holding fundamentally strong companies purchased at attractive valuations.
* Backtested results based on our quantitative screening methodology applied to historical data (2006–2025). Past performance does not guarantee future results. Returns shown are gross of fees. Actual investor returns may differ. This is not investment advice.
DeepMoat combines quantitative screening with AI-powered qualitative analysis to find undervalued companies across global markets.
11 Buffett/Graham-style filters across valuation, quality, safety, and track record. P/E, P/B, ROE, debt ratios, FCF history, dividend consistency — all automated.
Advanced AI models read annual reports, regulatory filings, and IR materials. They evaluate management quality, competitive moat, capital allocation, risks, and growth trajectory.
Combines quantitative metrics (40%), qualitative AI assessment (40%), and safety factors (20%) into a single composite score with Margin of Safety calculation.
Generates professional PDF reports with rankings, visual scorecards, bull/bear cases, fair value estimates, and citations from source documents.
A 5-step automated pipeline from raw market data to actionable research.
Apply 11 value investing filters (P/E, ROE, debt ratios, etc.) across stocks on major global exchanges. Narrow down to 10-15 candidates that pass all thresholds.
Automatically download and cache annual reports, regulatory filings, earnings presentations, and fundamental data for each candidate.
AI reads all collected documents and evaluates each company across 5 categories: management quality, competitive moat, capital allocation, risk, and growth.
Combine quantitative scores with AI qualitative assessment into a weighted composite score. Calculate Margin of Safety for each candidate.
Generate a professional PDF report with ranked picks, visual scorecards, bull/bear cases, fair value estimates, and source citations.
Combining proven value investing principles with cutting-edge AI technology.
Advanced large language models trained on financial reasoning. Capable of understanding complex annual reports across multiple languages.
Graham/Buffett-inspired quantitative filters backed by decades of value investing research. No black boxes — transparent scoring methodology.
Every AI assessment is backed by citations from source documents. Verify claims against original annual reports and filings.
Value-oriented investors looking for undervalued stocks with limited time for manual research.
Boutique investment firms seeking an edge in under-analyzed markets worldwide.
Analysts who want to augment their research with AI-powered screening and document analysis.
We're building the future of AI-powered value investing research. Reach out if you want early access or want to collaborate.
hello@deepmoat.eu