Idealitika Takes 15 Minutes to Test a Business Idea

Idealitika can identify untapped niches in a chosen sector, estimate how much product the market can absorb, analyze competitors’ strategies and suggest where to start turning a project into reality – delivering answers to all these questions in a detailed report. The service also proposes an SEO strategy.

An Orchestra of AI Agents

The platform uses an agentic architecture, with multiple specialized AI agents handling individual stages of the research, including competitor, demand and risk analysis, unit economics calculations and other tasks. The system analyzes a request in real time, then aggregates the findings into a report with recommendations.

Data comes from at least 60 sources, all of them Russian, including public registries, competitors’ websites and Yandex Wordstat. The developer positions the product as a specialized tool for desk research. It targets entrepreneurs, product teams, accelerators and banks. The service makes professional analytics more accessible to small and midsize businesses, allowing them to assess whether a project is viable without hiring a team of analysts.

“The service itself asks follow-up questions, which helps narrow down the business idea and improves the final result. The report, or study, is clear and well structured. Special thanks for the competitive analysis,” said Maksim Mirovnov, CEO of Legal Data Cloud, which has incorporated Idealitika into its operations.

Professional Analysis for Everyone

Idealitika sits between general-purpose LLMs and full-scale consulting: Users receive a standardized study based on a fixed methodology and verifiable sources, without neural-network hallucinations. The next stage could bring deeper integration into corporate workflows and greater specialization, such as industry-specific versions for retail, manufacturing and real estate. Making professional analytics accessible through natural-language requests is likely to draw more users to this category.

Demand for tools like these already exists. Data from Yandex DataLens, part of Yandex’s business group, provides one indication: The number of companies using its Neyroanalitik (Neuroanalyst) AI agent for data analysis has tripled. “Neural networks allow businesses to request dozens of data slices instantly. As a result, they can uncover many more hidden patterns and growth opportunities,” said Vasily Pimenov, head of the Russian market research program at Apple Hills Digital.

Agentic Analytics Spreads

Yandex Cloud introduced Neyroanalitika (Neuroanalytics) for DataLens – a Russian-built agent for uncovering insights in corporate data and preparing reports – in July 2025. By summer 2026, the service had expanded its capabilities and begun supporting external agents through an API. Then, in August, Smart Biznes launched Idealitika to test business hypotheses using Russian sources. This is more than a collection of technologies: It is a vertical agentic AI product.

Predictable Results and Customization

The value of the product lies less in using neural networks to find information and generate reports – systems that already exist globally and on Russian cloud platforms – than in turning that technology into a service specifically designed to test business hypotheses. It marks a shift from general-purpose generative models toward specialized agentic systems capable of conducting market research independently. Over the next several years, vertical AI agents could become one of the most prominent segments of Russia’s enterprise AI market. Unlike general-purpose LLMs, they offer businesses more predictable results and the ability to customize them deeply for specific workflows.

Idealitika makes desk research accessible to small and midsize businesses. Democratizing access to professional analytics through AI agents could speed up the testing of entrepreneurial hypotheses, reduce the cost of launching new products and, ultimately, improve the overall efficiency of Russian businesses as market conditions change rapidly.

Traditional market research requires hiring agencies, dozens of hours of manual work and budgets running into hundreds of thousands of rubles, while the data is often outdated by the time the report is ready. Our product automates this process and removes the human factor, protecting the report from factual errors and neural-network hallucinations. We do more than collect information from more than 60 up-to-date sources – we bring it together within a single analytical framework: We identify the unique selling proposition for your offering, calculate unit economics and immediately prepare a set of questions for customer-development interviews, so you can go out and start testing the hypothesis in the field as early as tomorrow

Evgeny Demin

Business Development Director at Smart Biznes