LLM TRAINING: DOUBLETAPP RANKED AMONG THE TOP 20 AI DEVELOPMENT COMPANIES
Doubletapp has been ranked 20th among AI development companies in the Runet Rating 2026, recognizing our expertise in AI development, including LLM training and fine-tuning, adapting language models for business applications, and building intelligent services powered by generative AI. Runet Rating evaluates companies using objective criteria such as verified projects, client portfolios, specialization, solution quality, and other measurable indicators. All submitted information is independently verified, making the ranking one of the industry's most trusted benchmarks.
Author:
Svetlana Prokhorova
Category:
news
Publication date:
How LLM Training Solves Business Challenges
For most organizations, implementing an LLM means far more than simply deploying a pre-trained model. To generate real business value, AI must be adapted to the company's domain, internal workflows, and proprietary data.
Doubletapp helps businesses with:
- LLM training and fine-tuning
- Domain-specific model customization
- Dataset preparation and processing
- Training pipeline development
- Model evaluation and quality assessment
- Integration of trained models into enterprise products and services.
Experience with Leading Technology Companies
Since 2020, our specialists have contributed to projects for Yandex, Sber, T-Bank, VK, Okko, and other leading technology companies. Doubletapp's expertise is recognized by multiple industry rankings. Alongside our Top 20 AI developer ranking, we are also listed among the Top 50 IT contractors in Russia.
We leverage this experience to build enterprise AI solutions that help organizations successfully integrate modern artificial intelligence technologies into real-world business operations.
End-to-End AI Development
"Being ranked among the Top 20 in Runet Rating confirms that Doubletapp's AI expertise is recognized by the market. We started working with machine learning and artificial intelligence technologies long before generative AI became mainstream, and today we help companies not only implement LLMs but also adapt them to solve specific business challenges.
Training and fine-tuning LLMs always involves working with the customer's data, infrastructure, and business processes. Success is measured not only by model quality but also by how seamlessly the model integrates into existing products and delivers measurable business value. That is exactly where we focus our efforts in every project.
Recognition in the ranking is certainly rewarding, but what matters most to us is our clients' trust and the successful projects that move into production and continue evolving alongside their businesses."
— Ilnur Faiziev, Head of AI at Doubletap
If you're considering LLM training or fine-tuning, adapting a language model to your internal business needs, or building a custom AI solution, the Doubletapp team can help you choose the right implementation strategy and integrate AI into your existing IT infrastructure.