Yandex has expanded the functionality of NeuroExpert for corporate users.

      The updated NeuroExpert now not only searches through files but also can reason, analyze entire websites, and assign roles within a project. However, nobody promises miracles: the neural network still relies on available data and doesn't always understand the context more deeply than a diligent but not very experienced intern.

      Yandex has released a new version of NeuroExpert; the service is gradually transforming from a simple file search engine into a full-fledged office tool. It primarily targets those tired of manually analyzing reports, documents, and corporate websites. The service operates online and requires only a standard Yandex account; no additional downloads or setups are needed. For corporate clients, there is access through Yandex 360 and an option for custom deployment if privacy is especially important.

      What can NeuroExpert do?

      Firstly, it now allows uploading not only individual documents but also analyzing an entire website from a single link. Need to quickly find all mentions of ESG or changes in management? Just give the service the link to your corporate portal, and it will gather and display everything automatically. This saves a lot of time, especially if the website is large or poorly structured.

      Secondly, a reasoning mode has been introduced. Previously, AI simply provided answers, but now it explains how it reached them. Users can see the entire analysis chain, verify the logic, and if something is off, easily adjust the query. While it's not a cure-all for complex tasks, it handles everyday routine: explaining expense increases, identifying errors in reports, or pointing out issues in graphs.

      Another new feature involves working with graphs and charts in PDFs, DOCX, and PPTX files, not just presentations. The service now also calculates fractions, roots, exponents, handles formulas, and curly brackets. This is especially useful for financiers, analysts, and technical specialists.

      A beneficial update for companies is the team collaboration mode. You can assemble a project group, assign roles and access rights, close the project, or make it partially open. Everything works directly in the browser, no need to install separate programs, and the interface is familiar to all users of cloud services.

      Since the beta testing began in April 2025, around 350,000 people have used the service monthly. The most common queries are related to education (17.6%), legal issues (10.6%), finance (7%), history (4.6%), marketing (4.2%), and HR (3.8%). While these figures are not record-breaking for Russia, demand for automation is growing. Users note that the service is useful when quick processing of large amounts of routine information is needed, rather than manual analysis.

      What to expect from automation in real business?

      According to Verified Market Research, the global Intelligent Document Processing (IDP) market was valued at $2.69 billion in 2024 and could grow to $16.08 billion by 2031 (with an annual growth rate of 27.6%).

      In Russia, this segment is just beginning to develop: estimated at 19.2 billion rubles for 2025, and forecasts suggest it could reach 50 billion by 2030.

      Yandex estimates that by then, the market for commercial AI models in the country will grow to 1.4 trillion rubles. Although these figures are still quite modest compared to global levels, for Russian companies it is often more important that such services are adapted to local realities and privacy requirements.

      Yandex's competitors are also active: among them are Sber's GigaChat, Western solutions like NotebookLM, Perplexity Spaces, Projects from ChatGPT, and solutions like Deep Research. The Russian market has its particularities—paid subscriptions are slowly gaining traction, but integrating these services into the client’s infrastructure (on-premise) is already becoming standard. This is especially relevant for companies where privacy is critical, such as Avito, which is investing 12 billion rubles in developing generative technologies.

      Among the advantages of Russian solutions is support for multimodal models that understand not only text but also images, audio, diagrams, and videos. This opens new application scenarios—from customer support to analyzing medical or legal documents.

      Currently, NeuroExpert is free but only in the basic version; advanced features and deep integration will be available in paid packages. All developments are testing through pilot projects—users can submit a request, receive a demo, and try out functionalities on real tasks without a lengthy onboarding.

      While no miracles are expected, it’s important to remember that neural networks won't replace human analysts. If the input data is “raw,” the output may contain errors as well. However, when routine tasks accumulate and manual review becomes too time-consuming, such services significantly save effort and time. Critics point out that the reasoning mode heavily depends on the quality of initial data, and for most office tasks, simple search remains sufficient. Free and open-source solutions still compete for user attention, but Yandex is taking the next step toward more convenient automation tailored to actual business needs.