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Built for annual reports, not Wikipedia articles
Traditional Research
Ctrl+F through 300-page annual reports. Miss the key disclosure.
You found it on page 127. But what was the context?
Compare 8 peers manually. Each reports metrics differently.
New analyst, new approach. Start from scratch every time.
LLM Chat Apps
General purpose. Doesn't deeply understand sector metrics, principles, or catalysts.
Hallucinates plausible numbers. Difficult to verify sources.
Difficult to compare and verify sources across each peer.
No sector library. Define metrics from scratch every time.
ThesisLoop
AI trained on financial filings. Knows sector metrics, trends, catalysts, principles.
Source page visible alongside every insight. See the context.
Compare any metric across 8 peers. Jump to exact page in each.
Pre-built sector libraries: trends, principles, catalysts. Customize yours.
Backtest management promises. Track credibility over time.
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AI trained for financial doc evaluation surfaces the strongest signals to act on.
You approve what's useful and flag what's noise. The AI gets sharper with every review.
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Whether you need a fast analyst copilot or a private, fund-only instance.
/ member / mo
Create thesis, and analyse financial documents with an AI tuned on financial documents
Customise from library of principles, trends and catalysts that you want to focus on
Invite and collaborate with your team
Prep actionable notes with citations
Compare metrics across companies in your thesis
Everything in Pro
Workflows and reporting tailored to your organization
Priority support 24/7
Priority access to all verified company documents
Early access to new geographies
Early access to new audio / video and media sources
Historical backtesting with 2+ years of track record
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