Basis Opens Corporate Data to Third-Party AI Assistants
Russian IT company Basis has launched Basis Investor Data, a service that lets investors and analysts access the company’s financial and operational metrics through AI assistants.
Investors and analysts no longer need to dig through scattered PDF documents or manually compare figures from different reporting periods to assess a company’s performance. They can simply ask questions in natural language, and an AI model will retrieve the data directly from Basis’s data book.
Direct Access to Financial Analytics
The service works with ChatGPT, Claude, Perplexity and other AI models that support the open MCP protocol. AI assistants connect to information systems through Basis’s own MCP server, while Basis Investor Data gives them direct access to the company’s quarterly reports and structured analytics. The data goes beyond IFRS financial statements to include metrics particularly relevant to IT companies, such as OIBDAC, NIC and others. Users can compare historical dividend figures, check the number of customers at any given point in time, review net debt and access other data. The system also provides a link to the specific data book from which each piece of information was retrieved, making it easy to verify the results.
This significantly reduces the time investors and financial analysts spend assessing a company before deciding whether to buy, sell or hold its shares. The service is free to use and requires no registration.
Transparency as a Standard
This is not the first example of companies making their information more accessible. In 2025, Russian public companies published more than 10,000 financial reports. But Basis Investor Data is the first solution to make corporate data available to third-party AI agents for automated analysis. The company has also said it is willing to share the service’s source code.
“We’re ready to share this experience with other public companies and make the service’s code available so they can adapt it to their own needs. The more companies speak to investors in the language of verifiable data, the greater the trust in the market as a whole,” said David Martirosov, CEO of Basis Group.
The number of companies giving investors access to their data through AI agents could grow as early as next year. Once adoption reaches a significant scale, automated systems for comparing data across different public companies are likely to follow. Investors will be able to compare the financial performance of multiple companies through a single interface, using conversational queries. For example, they could automatically compare the debt levels of several software developers or the profitability of companies in the same industry.
MCP Integration
Russian companies are steadily adopting technologies, including AI-powered tools, that make corporate and financial information easier to analyze. In 2025, for example, investment holding company Finam added an AI module to its Finam AI Screener to automatically interpret key metrics of companies listed on the stock market.
That same year, Kontur.Focus, a service for checking business counterparties, launched an AI assistant that helps users analyze companies and assess their reliability through conversational queries.
In 2026, Sber used its own MCP server to give customers’ AI agents access to SberBusiness, enabling them to retrieve bank statements and automate payment creation. Finam also launched an MCP integration with its FinamTrade trading platform, allowing investors to use AI to access information about their portfolio composition and investment performance.
Unlike Basis Investor Data, however, none of these solutions gave third-party AI assistants access to a specific company's original financial reports.
Machine-Readable Financial Reporting
Last year, the Bank of Russia encouraged public companies to move their financial reporting first to electronic formats and then to machine-readable formats. This speeds up data processing and makes it easier for investors to analyze information. Basis has gone beyond following that recommendation: it has also made life easier for shareholders by allowing them to retrieve and analyze information directly from the company's data book using AI. This is a strong example of digital transparency that could become a new corporate standard over the medium term.
Integrating corporate data with AI agents through a standardized protocol lays the groundwork for a new segment of Russian IT solutions focused on ensuring the quality and accessibility of structured data.
