Built by analysts.
For analysts.
Valuatum has delivered professional financial analysis software to institutions worldwide for over 25 years. AI Equity Reports is our product for individual investors and professionals.
Practitioner-grade analysis at every level.
Valuatum was founded in 2000 by former equity and credit risk analysts. We have spent 25 years building financial analysis tools for professional institutions, so we understand what a useful research tool actually looks like.
Our flagship products — Valuatum ProFinder for equity research and Valuatum CreditRisk for credit analysis — are used by credit institutions, stockbrokers, investment banks, and asset managers across Europe and beyond.
AI Equity Reports runs on the same analytical foundation. It makes professional equity research accessible to individual investors, analysts, students, and finance professionals who need a fast, structured starting point.
Why we built this product
Starting a company analysis from scratch takes hours. Most investors and analysts don't have that time for every company they look at.
Professional equity research is expensive and available only to institutional clients. Individual investors get a fraction of the analysis.
Most data tools give you more numbers. They don't synthesize them into a structured investment case with a clear analytical logic.
With the right framework (EV discipline, value pool structure, reverse valuation), AI can generate analysis that is genuinely useful at a fraction of traditional cost.
What we will never do
Reports may include analytical rating and target-price language, but they are general research materials — not advice tailored to your portfolio, objectives, or risk tolerance.
Valuation outputs depend on assumptions. We focus on enterprise value discipline, value pools, and reverse valuation so users can inspect what the analysis is assuming.
AI-generated analysis can contain errors, omissions, or misweighted assumptions. We explain the methodology and limitations on the site and encourage users to verify key figures.
No guaranteed alpha, no "AI knows what stocks will go up," and no certainty theatre. The product should earn trust by being useful and clear about its assumptions.
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