Alex Dolotov brings Tesseract Analytics' Open Terminal to retail investor research
Open Terminal combines SEC financials, news, filings, charts, AI Q&A, and SQL access, but Tesseract has not disclosed pricing or funding.
By Ryan Merket ยท Published
Why it matters
Open Terminal shows how solo or small founder-led teams are using AI interfaces to repackage expensive research workflows for individual investors, while leaving open the harder questions of data quality, pricing, and scale.
Alex Dolotov has made Tesseract Analytics' Open Terminal available as a web app for individual investors who want public-company research without a professional terminal, according to Tesseract Analytics' homepage.
Dolotov, Tesseract Analytics' founder, built Open Terminal after what the homepage describes as years of finding straightforward public-company financial data harder to access than it should be for people without a Bloomberg terminal or a research team. Tesseract Analytics says Dolotov has a mathematics background, holds a MicroMasters in Data and Economics from MIT, studied Artificial Intelligence and Technology Management at BCIT, and built much of his technical skill hands-on.
That founder story matters because Open Terminal is not being positioned as another trading screen for professionals. Tesseract Analytics' pitch is narrower and more consumer-facing: take data that already exists, including SEC filings and company financials, and put it in a format that an individual investor can query, chart, compare, and read without stitching together several tools.
What Open Terminal includes
Tesseract Analytics says Open Terminal brings together six tools: Financials, Companies, Quadrant, News, AI, and SQL.
Financials is described as a way to chart SEC metrics such as revenue, operating income, and R&D spend over time and across companies. Companies lets users search public companies by name, ticker, or sector, with business summaries, recent SEC filings, and related news. Tesseract Analytics says the app covers more than 10,000 public companies, a company-supplied figure that is not accompanied on the homepage by a methodology or data-provider disclosure.
Quadrant lets users plot companies across two financial metrics at once. News classifies articles as either directly about a stock or more broadly related industry coverage, and adds sentiment scoring. AI is the plain-English layer: the homepage gives the example of asking which healthcare companies have growing profit margins and receiving a chart plus a direct answer. SQL is for users who want to query the underlying database directly.
The product design reflects a bet that the next wave of investing tools will not just be simpler dashboards, but research workflows that mix structured financial data, filings, news, and natural-language questions. That is also where Open Terminal's burden of proof sits: the value depends less on whether an AI box exists and more on the reliability of the underlying data, the quality of the classifications, and whether the answers can be traced back to filings and financial metrics.
A Bloomberg comparison with limits
The homepage's own comparison point is the Bloomberg terminal, but Tesseract Analytics is careful not to claim it is replacing institutional terminals. Its stated audience is everyday investors, careful researchers, and data-oriented users who want to form their own view from numbers rather than rely only on analyst summaries, ratings, headlines, or stock charts.
That positioning gives Tesseract Analytics a clearer wedge than a broad "AI for finance" pitch. The company is trying to turn public-company research into a guided workflow: start with a company or watchlist, compare financial metrics, read filings and news, ask questions, then go deeper with SQL if needed.
The tradeoff is that several important business details are not disclosed on the public homepage. Tesseract Analytics does not list pricing, user numbers, revenue, funding, valuation, incorporation details, team size, or the data providers behind live market news, sentiment scoring, SEC processing, or AI responses. That does not undercut the product's existence, but it does mean the public evidence today supports a product launch story more than a company-scale story.
For Dolotov, the bet is personal and specific: individual investors are not short on opinions, but they are often short on usable primary data. Open Terminal is his attempt to make the research desk feel less like an institution-only privilege and more like a browser tab.