Save 8-10 hours per analysis
AI Comparable Analysis Agent
Build a perfect comps sheet in minutes
Delegate the tedious work of building comps to a specialized AI agent. It intelligently identifies the best peer group for your target company, pulls all the required financial data and trading multiples, and formats the output into your firm's presentation-ready template.

Ideal for
Investment Banking
Private Equity
Equity Research
Time comparison
Traditional way
8-10 hours per sheet
With V7 Go agents
15 minutes
Average time saved
95%
Why V7 Go
Pulls from financial data providers & filings
To create a perfect, presentation-ready comps sheet.

Import your files
S&P Capital IQ
,
FactSet
,
PitchBook
Import your files from whereever they are currently stored
All types of Finance documents supported
Once imported our system extracts and organises the essentials
Connect AI to your financial data terminals.
Finance
•
Legal
•
Insurance
•
Tax
•
Real Estate
Answers
What you need to know about our
AI Comparable Analysis Agent
Where does the agent get the financial and market data from?
The agent integrates directly with your existing subscriptions to major financial data providers like S&P Capital IQ, FactSet, and PitchBook. It uses your trusted sources to ensure data quality and consistency.
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How does it choose the 'best' comparable companies?
It uses a combination of your initial criteria (industry, size, etc.) and AI reasoning. The agent analyzes the business descriptions of potential peers to find companies with the most similar business models, not just the same industry code.
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Can it handle our firm's very specific, highly-formatted pitch book slide for comps?
Yes. We configure the agent to output data that perfectly maps to the cells in your existing Excel or PowerPoint template, preserving every detail of your firm's branding and formatting.
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What financial metrics and multiples can it pull?
It can be configured to pull any standard metric available from your data provider, including Revenue, EBITDA, Net Income, and multiples like EV/Revenue, EV/EBITDA, and P/E, for both Last Twelve Months (LTM) and Next Twelve Months (NTM) periods.
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How does it handle calendarization for companies with different fiscal years?
The agent can be configured to pull quarter-by-quarter financial data and automatically apply the standard calendarization formulas to create a true apples-to-apples comparison for your LTM figures.
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Does this automate the entire valuation?
It automates the data-gathering and presentation part of comparable analysis. The strategic part—making judgments about the peer group, applying the right multiple to your target—is still driven by the analyst's expertise.
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Next steps
Facing another weekend building pitch books?
Give us a target company and your comps template. We'll show you how our AI agent can build a presentation-ready analysis in under 15 minutes.













