Stock research, from question to evidence.

Start with a company and a question. Vivi helps you read the financials, compare valuation assumptions and examine the risks behind a stock price.

Join the early-access waitlist

Vivi is in early access. Join the waitlist for an invitation as places open.

A better question than “should I buy?”

Ask what changed in a company’s reported earnings, which assumptions a valuation depends on, or how its price has behaved over a stated period. A useful answer separates reported facts, calculations and things the available data cannot establish.

You can also research funds and crypto. Each has different data and methods: a company’s earnings multiple is not a valuation method for every asset.

From a ticker to a research note

  1. Input

    Give a ticker, exchange or company name, your question and the period you want to examine. Add a filing or other relevant document if you have one.

  2. Analysis

    Vivi retrieves available market and financial data, reads the relevant documents and can run calculations in your cloud workspace. Ask it to state assumptions and separate missing data.

  3. Output

    Review the explanation, source references and calculations. Where useful, the analysis can include a chart, table or downloadable working file that you can inspect.

One question, a useful research structure

Illustrative request and output structure; this is not a current analysis of AAPL.

Example requestFor AAPL, compare the latest available reported earnings with the previous year. Explain which valuation assumptions matter and list the risks the data cannot answer.

Part of the answerWhat to check
Reported financialsReporting period, currency and the original filing.
ValuationPrice date, earnings measure and the assumptions used.
Risks and gapsMissing periods, uncertain estimates and evidence that could change the conclusion.

Read the date as carefully as the number

Coverage varies by market and source. Quotes can be delayed or stale; an observation timestamp is not necessarily the exchange’s trade time and does not guarantee a live market feed.

Historical price analysis is not automatically a total-return calculation. Check how dividends, corporate actions, fees and taxes are treated before comparing results.

AI can misread a document or make an incorrect inference. Check important facts against the cited source. Vivi explains and calculates; it does not place stock trades or choose investments for you.

A clearer starting point for your research.

Vivi is in early access. Join the waitlist for an invitation as places open.

Join the early-access waitlist

For research and education, not investment advice. Verify important data before acting.

Stock research, from question to evidence.

Start with a company and a question. Vivi helps you read the financials, compare valuation assumptions and examine the risks behind a stock price.

Join the early-access waitlist

Vivi is in early access. Join the waitlist for an invitation as places open.

A better question than “should I buy?”

Ask what changed in a company’s reported earnings, which assumptions a valuation depends on, or how its price has behaved over a stated period. A useful answer separates reported facts, calculations and things the available data cannot establish.

You can also research funds and crypto. Each has different data and methods: a company’s earnings multiple is not a valuation method for every asset.

From a ticker to a research note

  1. Input

    Give a ticker, exchange or company name, your question and the period you want to examine. Add a filing or other relevant document if you have one.

  2. Analysis

    Vivi retrieves available market and financial data, reads the relevant documents and can run calculations in your cloud workspace. Ask it to state assumptions and separate missing data.

  3. Output

    Review the explanation, source references and calculations. Where useful, the analysis can include a chart, table or downloadable working file that you can inspect.

One question, a useful research structure

Illustrative request and output structure; this is not a current analysis of AAPL.

Example requestFor AAPL, compare the latest available reported earnings with the previous year. Explain which valuation assumptions matter and list the risks the data cannot answer.

Part of the answerWhat to check
Reported financialsReporting period, currency and the original filing.
ValuationPrice date, earnings measure and the assumptions used.
Risks and gapsMissing periods, uncertain estimates and evidence that could change the conclusion.

Read the date as carefully as the number

Coverage varies by market and source. Quotes can be delayed or stale; an observation timestamp is not necessarily the exchange’s trade time and does not guarantee a live market feed.

Historical price analysis is not automatically a total-return calculation. Check how dividends, corporate actions, fees and taxes are treated before comparing results.

AI can misread a document or make an incorrect inference. Check important facts against the cited source. Vivi explains and calculates; it does not place stock trades or choose investments for you.

A clearer starting point for your research.

Vivi is in early access. Join the waitlist for an invitation as places open.

Join the early-access waitlist

For research and education, not investment advice. Verify important data before acting.