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Dmitry Yudin
Strategy · Implementation · Education

Artificial intelligence that delivers business results

Over 10 years in cloud technologies and artificial intelligence. My team and I help companies go all the way from a first idea to a working AI platform — through consulting, training and rapid pilot projects.

How we can help
About

AI is not an experiment — it is a managed strategy

For more than 10 years I have been working in cloud technologies and artificial intelligence — leading teams that build platform AI products: open source model catalogs, universal inference, agentic systems and data-safety tooling.

My track record includes launching full-cycle ML platforms, deploying agentic and multi-agent systems, and delivering projects in manufacturing, retail and finance. I regularly speak at industry conferences and share expertise in leading tech media.

My position is simple: AI should be an assistant that removes routine work and delivers a measurable economic effect — here and now, not in a distant future. That is why every project starts with a business problem, not a technology.

Expertise

  • AI adoption strategy and economic impact assessment
  • Full-cycle ML platforms and MLOps / LLMOps
  • Agentic and multi-agent systems
  • Generative AI and large language models
  • Team training and building AI culture in organizations
10+
years of experience in cloud technologies and AI
up to 25%
lower equipment maintenance costs after adopting MLOps platforms
22–36T ₽
economic potential of AI in Russia by 2028
Services

From the first step to your own AI platform

AI adoption consulting

Process audit, discovery of AI application points, impact assessment and prioritization. We build a strategy and roadmap tied to business metrics — not to hype.

Team training

Educational programs for executives and teams: AI literacy, hands-on generative AI workshops, working with corporate data. People are the main success factor of any AI rollout.

First MVP projects

Rapid pilots on real company problems: from AI assistants to document workflow automation. We prove value in weeks, not months — and only then scale.

AI platform engineering

End-to-end design: architecture, model inference, MLOps / LLMOps, agentic systems, guardrails and data safety. A platform your AI projects can live on for years.

Approach

Four steps to measurable impact

01

Diagnostics

We study processes, data and company maturity. We find the problems where AI delivers maximum impact at minimum risk.

02

Strategy

We build the roadmap: priorities, architecture, team, budget. Every initiative is tied to a business metric.

03

Pilot & training

We launch an MVP on real data and train the team in parallel. The pilot's result is numbers, not a slide deck.

04

Scaling

We move successful pilots onto an AI platform: inference, MLOps, agents, guardrails. AI becomes part of the operating model.

Contact

Let's discuss how AI can work for your business

Tell me about your challenge — together we will decide where to start: a strategy session, team training or a pilot project. Your request lands directly in my Telegram.