Serious investment research has mostly belonged to the people who could pay for it. Funds have analysts, terminals that cost tens of thousands of dollars a seat each year, and clean data. Most individual investors have headlines, tips, and a broker app that earns more when they trade. The work itself wasn't beyond them. It was expensive.
That cost is falling fast. A current AI model can read a 10-K, compare a company with its competitors, and reason through whether new evidence supports a thesis. The analyst no longer has to sit inside a bank. We started Investi because the model alone doesn't close the gap. It needs a product around it built for how people actually invest.
#A model alone doesn't know your situation
Software went through this first. AI models could write code well before the tools around them were good, because a model on its own didn't know your project or what you were trying to build. The tools that changed who could write software surrounded the model with the project, its history and a way to review changes. That made it useful to beginners as well as professionals.
Investing has its own version of the project: a portfolio, a watchlist, a thesis, and a record of what you believed and whether it held up. Investi gives the model that context, ties every number to the filing it came from, and keeps your research between conversations. How the Investi analyst works explains the mechanics.
#The thesis is the center
Investi is built for people who want to understand what they own. That starts with the business: the filings, the unit economics, the balance sheet, the competitive position. Prices and charts help, but they aren't the point.
A real investment idea is a chain of reasoning. AI needs chips, chips need power, power needs infrastructure, so the bottleneck may move to energy. The idea becomes a watchlist, the watchlist becomes companies, each company gets a thesis, and each thesis meets evidence quarter after quarter. How to build an investment thesis walks through that work with a real company.
#No method built in
Most finance tools come with a worldview. Screeners encode someone's factors, apps push someone's signals, and some AI investing products are tuned to invest like a famous investor. The method is in the tool before you type anything.
Investi takes the other approach on purpose. The analyst starts without an investing method of its own; any bias left comes from the underlying AI model, not from a process we added. You organize the workspace the way you think, with one watchlist or fifty, and folders by sector, theme or conviction. When you want a method, you add it yourself as a skill: a value checklist, your firm's process, or something entirely your own. When you want other data, you connect it. We build the tool; the opinions are yours.
#Most mistakes are lapses in discipline
Good investing is a practice. Notice what might matter, understand why, decide what it means, and keep checking whether the facts still support the reason you bought. None of the steps is hard. Doing them every time is.
People forget what they believed. They react to noise, read price moves as information about the business, hold after the thesis breaks and sell before it has been tested. The failure is rarely a lack of intelligence.
An analyst helps because it keeps the thread: it reads what you don't have time to read, can look up what you wrote last quarter, and asks whether the reason to own something still holds. Funds have had that for decades. We think every investor should.