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Grid Dynamics Appoints Industry Veteran Nikita Ivanov as Head of AI

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Key Terms

natural language processing technical
Natural language processing is a technology that enables computers to understand, interpret, and respond to human language in a meaningful way. It allows machines to analyze large amounts of text, like news articles or social media posts, to identify patterns, trends, or sentiment. For investors, this means gaining faster insights from vast information sources, helping to inform smarter decisions in a rapidly changing world.
distributed computing technical
Distributed computing is a way of running software where work is split across many computers that cooperate like a team sharing tasks, rather than relying on a single machine. For investors it matters because this approach can lower costs, speed up data processing, improve reliability and scalability for services (from cloud platforms to trading systems), and influence a company’s ability to handle growth, manage risk, and compete on performance.
reinforcement learning technical
A type of artificial intelligence that learns by trial and error, receiving feedback from its actions to favor choices that lead to better outcomes. Think of it like a salesperson learning which pitches close deals by trying different approaches and keeping the ones that work. For investors, reinforcement learning matters because it can power smarter trading systems, optimize business operations, or improve products—potentially boosting efficiency and profits while also introducing model and execution risks.
generative ai technical
Generative AI is a type of computer technology that can create new content, like text, images, or music, on its own. It’s important because it can produce realistic and useful material quickly, which could change how we create art, write stories, or even develop new products. Think of it as a smart robot that can invent and produce things almost like a human.
agentic ai technical
Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.
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Key Takeaways:

  • As Vice President, Head of AI, Nikita Ivanov leads the strategic direction of Grid Dynamics' AI portfolio, including its GAIN platforms, and helps clients convert AI pilots into measurable value in production.
  • Ivanov has over two decades of founding and scaling technology companies as an entrepreneur and technologist, adding commercial and operational depth to Grid Dynamics' executive team.
  • Focused on moving Fortune 1000 clients to AI-native software delivery, Ivanov is advancing Grid Dynamics' AI-SDLC tools that give enterprises a faster, more reliable path to building and running AI systems.

SAN RAMON, Calif.--(BUSINESS WIRE)-- Grid Dynamics Holdings, Inc. (Nasdaq: GDYN) (“Grid Dynamics”), a premier AI transformation partner for the Fortune 1000, is advancing its AI strategy under the leadership of Nikita Ivanov, Vice President, Head of AI. Ivanov is responsible for leading the transition efforts of Grid Dynamics’ clients toward an AI-native software delivery model, and he oversees all elements of Grid Dynamics AI Native (GAIN) platforms.

Ivanov brings more than two decades of experience founding and leading technology companies to his role as Vice President, Head of AI. He founded and led GridGain, a distributed computing company built for in-memory data processing. During his 15-year tenure at GridGain, Ivanov also founded the natural language processing framework Apache NLPCraft and, later, Humatron AI, an AI workforce platform. He then served as Field CTO for GenAI at DataStax. That same pattern of building foundational tools now runs through Grid Dynamics’ own AI-SDLC tools, Allium, Rosetta, and SpecFlow, all released as open source.

"Nikita brings a rare combination of technical depth, a founder's instinct for what enterprises will actually adopt, and the ability to turn emerging AI capabilities into production systems at scale," said Dr. Eugene Steinberg, Chief Technology Officer. "His deep experience with open-source software and communities will be instrumental as we expand our GAIN platforms into a broader ecosystem. That combination is exactly what we need as AI changes not just the software our clients build, but how they build it. This extends an AI foundation we've invested in since 2018, starting with deep learning and reinforcement learning and expanding into advanced analytics and, more recently, generative and agentic AI. Across that full portfolio, AI now drives more than 30% of our total revenue.”

"Enterprises are rapidly moving beyond AI pilots toward AI-native software delivery and hybrid AI workforce operations. My focus is on accelerating that transition for our clients while ensuring Grid Dynamics remains at the cutting edge of AI innovation. I'm excited to build on Grid Dynamics' deep technical strength and be part of an organization so committed to pushing the boundaries of what AI can do,” said Nikita Ivanov, Vice President, Head of AI.

About Grid Dynamics

Grid Dynamics (Nasdaq: GDYN) is a premier AI transformation partner for the Fortune 1000. We combine deep AI expertise with proven enterprise-scale delivery to help clients identify where to invest in AI, build systems that work at scale, and capture real business value from AI deployments. A key differentiator for Grid Dynamics is our two decades of technology leadership and pioneering enterprise AI expertise. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India. To learn more about Grid Dynamics, please visit https://www.griddynamics.com. Follow us on LinkedIn.

Forward-Looking Statements

This communication contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934 that are not historical facts, and involve risks and uncertainties that could cause actual results of Grid Dynamics to differ materially from those expected and projected. These forward-looking statements can be identified by the use of forward-looking terminology, including the words “believes,” “estimates,” “anticipates,” “expects,” “intends,” “plans,” “may,” “will,” “potential,” “projects,” “predicts,” “continue,” or “should,” or, in each case, their negative or other variations or comparable terminology. These forward-looking statements include, without limitation, quotations and statements regarding the expected benefits of our capabilities and our company’s future growth including with customers and partners. Most of these factors are outside Grid Dynamics’ control and are difficult to predict. Factors that may cause such differences include, but are not limited to, our ability to achieve expected benefits, any factors limiting our capabilities, the benefits of our services and products, and our company’s growth strategy.

Grid Dynamics cautions that the foregoing list of factors is not exclusive. Grid Dynamics cautions readers not to place undue reliance upon any forward-looking statements, which speak only as of the date made. Grid Dynamics does not undertake or accept any obligation or undertaking to release publicly any updates or revisions to any forward-looking statements to reflect any change in its expectations or any change in events, conditions or circumstances on which any such statement is based. Further information about factors that could materially affect Grid Dynamics, including its results of operations and financial condition, is set forth under the “Risk Factors” section of Grid Dynamics’ annual report on Form 10-K filed March 5, 2026, and in other periodic filings Grid Dynamics makes with the SEC.

Media Contact:
Cary Savas
+1 (650) 523 5000
investorrelations@griddynamics.com

Source: Grid Dynamics Holdings, Inc.