Ai Viral
Freemium
Indie SaaS founders shipping with tools like Lovable or Cursor
Building a DCF model from scratch takes days, and Bloomberg charges more per year than most retail investors earn from dividends — Investhesis exists to collapse that gap.
$8.33/mo - $29.99/mo · Free tier: Microsoft (MSFT) full access only, 2 years of financial history, US companies only, DCF valuation, forensic analysis (160 risk signals), AI full report · Checked Jul 1, 2026
The platform pulls public filing data, runs six valuation methods including DCF and EV/EBITDA, and delivers an AI-written thesis in under three minutes. The 160 automated checks — Beneish M-Score, Altman Z-Score, and related forensic indicators — flag where the accounting numbers shift across filing years, so you are not eyeballing 10-Ks manually. The free account gives you full access to Microsoft analysis; every other ticker requires a paid plan. Analysts who need to move across dozens of names quickly will hit the coverage wall fast, and there is no self-hosted option if your workflow requires data to stay on-premise.
Bottom line: Pick this if you are a self-directed investor or analyst who needs a repeatable, auditable valuation process without building the spreadsheet yourself — but if your workflow demands deep coverage across illiquid small-caps or private comparables, the coverage ceiling will send you elsewhere.
Free tier with Microsoft (MSFT) full access
Billed annually at $99.90/yr
Billed annually at $119.88/yr. Founder Offer u2014 50% off for life. Regular price $19.99/mo
Billed annually at $239.88/yr. Founder Offer u2014 33% off for life. Regular price $29.99/mo
View full pricing on investhesis.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Investhesis takes a stock ticker and returns a weighted calculated value derived from six methods: DCF, EV/EBITDA, EV/FCF, P/E, and ROIC-based models, according to the vendor page. The workflow is linear — you supply the ticker, the platform pulls financial data from public filings, processes SEC documents, runs the models, and outputs calculated value versus current market price alongside an AI-written valuation summary structured across seven sections. Every assumption is exposed, so you can adjust figures and watch the output update in real time.
The forensic accounting layer is the clearest differentiator. The platform runs 160 automated checks across years of filings and surfaces where the numbers shift — the Beneish M-Score flags potential earnings manipulation, the Altman Z-Score signals distress risk. Running those checks manually requires sourcing multi-year filing data and translating formulas into a spreadsheet. Here, they run automatically on every covered stock, which means a red flag that would take an analyst half a day to compute surfaces in seconds.
For self-directed investors and analysts running rapid screening across listed equities, the platform covers institutional analytical depth at a fraction of terminal pricing. Where it breaks: the free tier is locked to Microsoft. Every other stock requires a paid plan. There is no self-hosted deployment path, which rules the tool out for any workflow with on-premise data requirements. The vendor page does not describe an API for pulling valuation outputs into external pipelines, so teams building automated research workflows will need to verify integration options directly. Coverage depth on international or thinly-traded names is not specified on the page — analysts working outside large-cap US equities should test coverage before committing.
The 13F superinvestor tracking feature visualizes public SEC filings from named investors — Terry Smith, Warren Buffett, and others — showing reported holdings and quarter-over-quarter changes. This is a read-only view of public data, not a signal engine, so it informs context rather than generating buy/sell outputs. The platform is available in five languages, which the vendor page lists as a feature for international users.
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