Moscow, 119021,
Russia
Yandex Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Yandex and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 10000 Yandex employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Yandex has purchased the following applications: YandexART 2.0 for AI Text to Image Generator in 2024, Azerion for Digital Advertising Platform in 2022, Yandex YaFSDP for Open-Source Database in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Yandex is running and its propensity to invest more and deepen its relationship with Yandex Cloud , Azerion or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Yandex revenues, which have grown to $13.70 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Yandex intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Yandex Cloud | Legacy | YandexART 2.0 | AI Text to Image Generator | AI-Powered Application | n/a | 2024 | 2024 |
In 2024, Yandex embedded YandexART 2.0 into its consumer creative app Shedevrum. YandexART 2.0 is an AI Text to Image Generator deployed on Yandex Cloud to deliver generative media capabilities for users and creators within Yandex's product suite.
YandexART 2.0 powers Shedevrum features for image generation, short video generation and photo editing, supporting creative and marketing workflows. The implementation surfaces text to image synthesis, short-form video rendering and localized prompt interpretation for Russian inputs, integrated into Shedevrum's content creation UI and export workflows to enable creator-driven production inside the app.
Integration was scoped to Shedevrum consumer and creator workflows and operated on Yandex Cloud model-serving infrastructure, centralizing inference and localization logic. The embedding of YandexART 2.0 into Shedevrum improved in-app generation quality and localization for Russian prompts, strengthening Yandex YandexART 2.0 AI Text to Image Generator support for creative and marketing business functions.
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Azerion | Legacy | Azerion | Digital Advertising Platform | CRM | n/a | 2022 | 2022 |
In 2022, Yandex expanded a strategic partnership to integrate Azerion, a Digital Advertising Platform, embedding Azerion's premium advertising platform into Yandex's ecosystem to provide programmatic advertising monetisation support and extend distribution of Azerion game content. The engagement was announced January 2022 and follows an earlier content partnership that began in 2019, positioning Azerion and Yandex in a combined advertising and publisher distribution initiative across Russia and Europe.
The implementation focused on programmatic advertising monetisation and publisher distribution capabilities typical of a Digital Advertising Platform, including programmatic demand connectivity, publisher monetisation workflows, campaign delivery and content distribution for games. Azerion was configured to support Yandex's advertising operations by enabling automated monetisation flows, centralized ad inventory handling and distribution of interactive game content into Yandex properties and partner sites.
Integrations were executed between Azerion's platform and Yandex's ecosystem to bridge programmatic supply and publisher channels across the specified regional scope of Russia and Europe. The workstream addressed both advertising operations and content distribution functions, aligning Azerion's ad serving and programmatic monetisation features with Yandex's publisher network and distribution channels.
The engagement formalized commercial and technical collaboration to operationalize programmatic monetisation and game content distribution, building on the companies' prior content relationship. Operational governance focused on coordinating monetisation rules and distribution agreements between Azerion and Yandex to enable consistent publisher-facing workflows and content placement across Yandex's ecosystem.
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Yandex Cloud | Legacy | Yandex YaFSDP | Open-Source Database | PaaS | n/a | 2024 | 2024 |
In 2024, Yandex deployed Yandex YaFSDP, an Open-Source Database, to accelerate AI/ML training workflows for YandexGPT 3. The library was developed during YandexGPT 3 development and was open-sourced in June 2024, positioning Yandex YaFSDP as a data infrastructure component for large-scale model training in Russia. Public descriptions and the open-source release indicate its primary focus on supporting LLM pre-training and fine-tuning workflows, a usage pattern inferred from Yandex's announcement.
Yandex YaFSDP was implemented to provide high-throughput data feeding and dataset sharding alongside metadata management tailored to large-batch neural model training. Configuration and runtime behavior were oriented to reduce I/O bottlenecks and sustain continuous GPU utilization, consistent with Open-Source Database capabilities used in AI training pipelines. The implementation emphasized scalable dataset partitioning, efficient serialization and caching mechanisms, and orchestration hooks for integration with model training loops.
Operational scope centered on Yandex's AI/ML training teams working on YandexGPT 3 within Russia, where the library was used to accelerate pre-training runs. Yandex reported iteration speedups up to ~26% and GPU savings around 20% during YandexGPT 3 development, outcomes disclosed alongside the June 2024 open-source release. Governance for the component was handled through open-source publication and internal integration into existing training workflows, aligning the Yandex YaFSDP codebase with the company's model development lifecycle.
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