FFP One

Why I'm building FFP One: click to read the founder's blog

Professional-Grade Equity Research at the Speed of AI

Research the investment questions you actually have. Ask about any of over 2,100 companies that file with the SEC, or the funds that hold them. FFP One's AI tools work from the filings and show their sources, so you can check the work.

For professional investors who want to do their own research without the pain of doing it manually.

No spam. One email when we launch.

Ask Chat a question, run a full Research Report on an investment idea, or look through a fund to what it owns. Then keep what you find in Notes, turn it into a memo to share, and export the figures to Excel.

See it work

Research Report

Asked who Marvell competes with and how their margins compare, the report takes the competitor list from Marvell's own 10-K, then corrects the premise: a one-off $1.8B gain flatters the net margin, so it ranks the peers on operating margin instead. 67 credits, about five minutes.

An FFP One Research Report titled Marvell Competitors and Margin Analysis. Its bottom line says the premise is partly confirmed with one correction: Marvell's net margin includes a one-off $1.8B gain, so operating margin is the fairer comparison, and it ranks Marvell's gross, operating and free cash flow margins against its named peers.

Chat

Asked what JPMorgan's filing says about higher interest rates as a risk, Chat quotes the FY2025 10-K word for word, says where it sits (Item 1A, under market risk) and labels the answer Filing Text.

An FFP One chat answer labeled Filing Text, headed What the FY2025 10-K says about higher interest rates. It quotes JPMorganChase's Item 1A risk factor verbatim, including a list of the ways higher rates could hurt the business.

Inside the Funds

Asked which funds have the most exposure to the AI buildout, Chat ranks funds by the share of their portfolio in companies whose filings carry the AI Infrastructure theme, leaves out single-stock wrappers, and notes that the funds' reports date from different quarters.

An FFP One chat answer labeled Synthesized: a table of funds ranked by their portfolio weight in companies tagged AI Infrastructure, with each fund's holdings count, net assets and number of tagged companies, under a note explaining how the ranking was built.

Memo

Make memo turns the Marvell report into a short memo to share with your team, for 3 credits.

An FFP One memo titled Marvell Competitors and Margin Analysis, made from the Research Report of the same name, opening with a summary of its findings.

What's actually inside that fund?

Sounds like an easy question, but as anyone who's tried to pick apart an ETF knows, it isn't: the answer is spread across hundreds or thousands of rows in the fund's N-PORT filing.

FFP One keeps those holdings in the same database as the company financials, so it can show you what a mutual fund or ETF owns, how concentrated it is by sector, and the whole portfolio measured as if it were one company: P/E, margins, return on equity. Each fund also shows how much of it those figures cover. You can go the other way, too, and ask which funds hold the most of a company.

And because every holding is linked to what that company's own filings say, you can ask harder questions, like which funds have the most exposure to geopolitical risk, or to the AI buildout.

Ask: “Which funds have the most exposure to the AI buildout?”

What you can do with FFP One

Test an investment idea.
Run a full Research Report on a hypothesis. It leads with the answer (confirmed, refuted or reframed), then lays out the evidence and says where its figures came from. Reports run in the background and usually finish within 20 minutes, so you don't have to sit and watch.
Ask: “Who are Marvell's competitors, and how do they compare on margins?”
Ask the filings a question.
Ask in plain English and get an answer built from the company's SEC filings, with a chart or table when the numbers call for it. When an answer uses FFP One's data, it lists the filings it drew on, with a link to each.
Ask: “What exactly does the filing say about higher interest rates as a risk?”
Get up to speed on a company.
One page brings together the business, its risks, management's own account of the year, core financials like income statement, cash flow and balance sheet, financial health scores such as Piotroski, Altman Z and Beneish, segments, market info including share price and key ratios, and its recent 8-K filings.
Screen for ideas.
Filter companies by sector, size, revenue and operating margin, explore the numbers across companies in the Data Explorer, and download the results to Excel. Push a shortlist of up to ten into Chat to dig deeper.
Search the filings word for word.
Search a company's filings for a term (a customer, a lawsuit, tariffs) and read the matching passages word for word, most relevant first, with no AI in between. Each result names the filing, the year and the section, and links to the original on SEC EDGAR.
Keep your research together.
The Notes feature allows you to clip chat answers, filing passages, company-page summaries, financials and tables into one place where you can also add your own text notes, letting you build your own research record. Each clip remembers where it came from.
Share the work.
Turn a chat, a Research Report or a company or fund page into a one- to three-page memo that summarizes it for your team, your clients, or yourself. Export reports and memos to PDF or Word, and figures to Excel.

What makes it professional-grade?

Built on the filings.
Before you ask anything, FFP One has already built the FFP One Data Layer from companies' SEC filings, funds' holdings and market data: financial statements in standard tables, measures like margins, P/E and health scores worked out in advance, and each filing's sections summarized and checked against the original. The AI looks figures up there rather than recalling them. When it does its own arithmetic (growth over five years, say, or one company's revenue against another's), it works from the figures it looked up. How FFP One works →
Sources you can follow.
When a chat answer uses FFP One's data, it lists the filings it drew on, with a link to each. An answer built only on general knowledge is labeled as such. Research Reports end with a section naming the filings and sections behind their figures, and which figures are market prices or calculations.
Checked and checkable.
Chat checks the figures in every answer before you see it. Research Reports get a second AI pass that re-checks theirs, and a report tells you if that pass didn't finish. Every answer says what it drew on, so you can check anything you'll rely on. Where the numbers come from →
Research, not advice.
FFP One is a research tool, not an adviser. It doesn't know your circumstances, and nothing it writes is investment advice.

What's covered today

  • The annual reports of over 2,100 companies that file with the SEC (10-K, and 20-F for foreign companies).
  • Recent 8-K filings, which Research Reports read to catch what has changed since the last annual report.
  • The holdings of over 5,200 US mutual funds and ETFs.
  • Daily share prices and valuation measures such as P/E.
  • Macroeconomic data from FRED, the St. Louis Fed's database: interest rates, Treasury yields, inflation, GDP, unemployment and the VIX.
  • On the way: quarterly reports (10-Q), IPO filings (S-1), Canadian annual reports (40-F), foreign companies' material-event reports (6-K) and earnings call transcripts.
  • Further out: companies outside the US, starting with English-speaking markets such as the UK, Canada and Australia, then major European markets such as Germany, France and Italy.

One pool of credits for the whole firm

Your whole team shares one pool of credits, with no per-seat fees. Browsing company and fund analytics, screening, filing search and data exports use no credits; credits are spent only when the AI does the work. Plans start at $149 a month.

See plans and pricing

Who's behind it

“I want FFP One to be something genuinely valuable to investors, something that makes their daily equities research workflow easier, more informative, and even (hopefully!) fun.”
Randall Helms, founder

FFP One is built by Randall Helms, who has more than 15 years of experience working in data in fields such as finance, B2B SaaS, and consumer media. It is entirely self-funded and based in Berlin.

Why I'm building FFP One

Bring a question you haven't resolved.

Start with a company you're already researching, and see what FFP One finds.

No spam. One email when we launch.