List of YandexGPT 4 Customers
Yandex.Cloud
16 Lva Tolstogo Street,
Moscow, 119021,
Russia
Moscow, 119021,
Russia
7 49 57397000
Professional Services
450
$75M
Since 2010, our global team of researchers has been studying YandexGPT 4 customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased YandexGPT 4 for Chatbots and Conversational AI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using YandexGPT 4 for Chatbots and Conversational AI include: Neoflex, a Russia based Professional Services organisation with 375 employees and revenues of $72.4 million, Banki.ru, a Russia based Media organisation with 350 employees and revenues of $47.0 million, NN Petrov National Medical Research Center of Oncology, a Russia based Healthcare organisation with 1100 employees and revenues of $35.0 million and many others.
Contact us if you need a completed and verified list of companies using YandexGPT 4, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The YandexGPT 4 customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Banki.ru | Media | 350 | $47M | Russia | Yandex Cloud | YandexGPT 4 | Chatbots and Conversational AI | 2025 | n/a |
In 2025, Banki.ru launched an AI assistant built on YandexGPT 4 to enhance user interactions on its financial marketplace. The deployment runs on Yandex Cloud and places YandexGPT 4 squarely within Banki.ru's Chatbots and Conversational AI tooling to handle customer queries and guide product discovery. This implementation signals Banki.ru's focus on conversational search and support automation for its consumer audience.
YandexGPT 4 was configured to provide natural language search over financial products, question answering from a curated knowledge base, contextual dialog management, and chat based handoff to human support agents. The implementation leverages intent classification, entity extraction, response generation, and conversational logging to maintain context across multi turn conversations. These functional capabilities align with Chatbots and Conversational AI patterns for customer self service and assisted support.
The assistant is embedded into Banki.ru's public site and support channels to enable faster discovery of suitable financial solutions and to let users get answers and promptly communicate with support agents. Operational coverage centers on customer support and product discovery workflows, with governance focused on content curation and moderation of financial product information. Banki.ru deployed YandexGPT 4 to connect conversational AI, customer facing search, and agent escalation within its existing service operations.
|
 |
Neoflex | Professional Services | 375 | $72M | Russia | Yandex Cloud | YandexGPT 4 | Chatbots and Conversational AI | 2025 | n/a |
In 2025 Neoflex deployed YandexGPT 4 as a Chatbots and Conversational AI solution to augment its distributed collaboration environment and reduce cognitive load across project teams. The deployment was positioned to complement existing Yandex Cloud and Yandex 360 services, addressing the company requirement for smoother interaction between geographically dispersed development centers and integrated communication tools.
The YandexGPT 4 implementation focused on conversational assistant capabilities typical of the Chatbots and Conversational AI category, including natural language query access to corporate documents, meeting summarization and transcription support for videoconferencing workflows, and an internal helpdesk style virtual agent for routine IT and collaboration questions. Configuration work emphasized enterprise access controls and authentication alignment with Neoflex’s established account synchronization and two-factor authentication practices, while models and prompt flows were tuned to surface content from the company’s shared repositories.
Integration architecture used API-based connectivity into the existing Yandex 360 collaboration stack, leveraging links to Mail, Calendar, Telemost, and Yandex Disk to contextualize conversations and to surface calendar and document context during interactions. The implementation also followed the integration patterns Neoflex established for downstream corporate systems, including API integration points for CRM, ERP, and CMS, and aligned operationally with the security posture and platform services Neoflex adopted on Yandex Cloud and Yandex 360.
|
 |
NN Petrov National Medical Research Center of Oncology | Healthcare | 1100 | $35M | Russia | Yandex Cloud | YandexGPT 4 | Chatbots and Conversational AI | 2025 | n/a |
In 2025, N.N. Petrov National Medical Research Center of Oncology implemented YandexGPT 4 as part of a Chatbots and Conversational AI solution to accelerate processing of clinical trial documents. The deployment supports the local ethics committee, which reviews roughly 1,000 applications per year, and is planned for broader use in oncology centers in BRICS countries and other institutions conducting clinical trials.
The web service runs on Yandex Cloud where document scans are uploaded for automated analysis, the deployed neural component YandexGPT 5 Pro segments files into 10 document types, extracts structured information, and applies a rule set of compliance checks developed by NMRC experts. Functional capabilities implemented include multi-page document parsing, information extraction, automated compliance validation against safety and ethics criteria, and targeted error suggestion to guide applicants on corrections. In production workflows 95% of initial document reviews are performed without human intervention, leaving specialists to validate extracted data and make final approve or reject decisions.
Operational integrations include Yandex Tracker for status tracking of individual applications and the NMRC local ethics committee workflow for risk-benefit assessment and participant rights review. The solution was developed collaboratively by the Yandex Cloud Technology Center for Society, Raft, and NMRC, and is already used by the NMRC local ethics committee to streamline intake, review scheduling, and resubmission handling. The rollout scope explicitly covers the NMRC LEC now and is planned for oncology centers in BRICS countries and other clinical research institutions.
Governance and process changes center on shifting initial verification from manual expert review to an automated pre-screening stage, the LEC retains responsibility for final ethical assessment while specialists focus on accuracy checks and judgment calls. The system enforces a consistent set of expert-defined criteria for research design, participant recruitment methods, informed consent documentation, and supporting scientific evidence, which standardizes review checkpoints and reduces manual proofreading overhead.
Outcomes stated by NMRC include reducing initial data verification from weeks to minutes and shortening the complete approval cycle from several months to five to ten business days, faster feedback reduces resubmission delays when over 35 percent of applications require revisions. The solution is also presented as applicable to other document-intensive sectors such as banking, insurance, and government for multi-page document processing, while continuing to support faster patient access to new drugs, devices, and treatment methods when clinical trial approvals are accelerated.
|
Showing 1 to 3 of 3 entries
Buyer Intent: Companies Evaluating YandexGPT 4
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating YandexGPT 4. Gain ongoing access to real-time prospects and uncover hidden opportunities.
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||
FAQ - APPS RUN THE WORLD YandexGPT 4 Coverage
YandexGPT 4 is a Chatbots and Conversational AI solution from Yandex Cloud.
Companies worldwide use YandexGPT 4, from small firms to large enterprises across 21+ industries.
Organizations such as Neoflex, Banki.ru and NN Petrov National Medical Research Center of Oncology are recorded users of
YandexGPT 4 for Chatbots and Conversational AI.
Companies using YandexGPT 4 are most concentrated in Professional Services, Media and Healthcare, with adoption spanning over 21 industries.
Companies using YandexGPT 4 are most concentrated in Russia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of YandexGPT 4 across Americas, EMEA, and APAC.
Companies using YandexGPT 4 range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 66.67%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 0%.
Customers of YandexGPT 4 include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified YandexGPT 4 customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Chatbots and Conversational AI.