Grid Dynamics Announces AI-Powered Engagement Model Enabling Accelerated Business Transformation for Fortune 1000 Enterprises

Key Takeaways: Grid Dynamics introduces an AI-powered engagement model for software delivery. This engagement model expands Grid Dynamics’ offerings by providing a fundamentally new way of delivering value—enabling clients to achieve superior outcomes by providing the next level of agility, quality, and accelerated time-to-market. The model is based on the Grid Dynamics AI-Native Development Framework (GAIN Development Framework)—a combination of proprietary processes, human capital, and an AI-Enabled Development Platform. This framework is designed specifically to support the scale and complexity of Fortune 1000 enterprises. Based on internal benchmarks, we expect this model to accelerate project delivery by achieving over 30% productivity improvements. Progressive credit-based pricing directly tied to performance and value is the basis of the new engagement model.

Grid Dynamics Holdings, Inc. (Nasdaq: GDYN) (Grid Dynamics)—a prominent technology consulting and digital services provider specializing in AI, platform and product engineering, and digital engagement services—today announced the launch of an innovative AI-powered engagement model for its software engineering services. This new model is specifically engineered to deliver the next level of agility, quality, and accelerated time-to-market for Fortune 1000 enterprises. Grid Dynamics' innovative approach expands its engagement offerings beyond traditional Fixed Price, Time and Materials, and Capacity-based engagements.

Key features include:

• Prompt-driven incremental output: Delivering value through iterative, prompt-guided development.
• Credit-based service consumption: Pricing aligned with desired outputs rather than effort—offering cost efficiency.
• AI-benchmarked code quality: Continuous evaluation against industry and client standards—ensuring code quality.
• Centralized client portal: A single, secure platform for clients to manage their engagement.

At the center of the new engagement model is the Grid Dynamics AI Native Development Framework (GAIN Development Framework), which represents a shift from the traditional effort-based development model to an AI & Human collaboration model optimized for global, enterprise-scale delivery. The GAIN Development Framework is lean, with an emphasis on domain specialists, software architects, and experts in emerging technology, while leveraging Grid Dynamics’ AI-Enabled Development Platform to automate routine coding and testing tasks. This structure helps ensure that our clients' investments are focused on creative, high-impact engineering that solves their most complex problems.

“We are redefining how software is built,” said Valery Zelixon, SVP of Sales at Grid Dynamics. “The GAIN Development Framework is not just about automation—it's about unlocking the full potential of engineering teams. By streamlining repetitive tasks and accelerating innovation cycles, we're helping our clients bring high-impact products to market faster, with greater precision and affordable cost. This marks a major shift in how organizations scale technology.”

"The combination of AI-enabled software development and enterprise-scale delivery creates unprecedented opportunities," said Leonard Livschitz, CEO of Grid Dynamics. "And our position at the intersection of innovation and scale, along with our deep AI expertise, enable us to consistently solve complex business challenges and deliver client value at an accelerated pace. We expect this new engagement model to be a significant growth driver as more Fortune 1000 enterprises seek our expertise to harness AI's potential."

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About Grid Dynamics

Grid Dynamics (Nasdaq: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and digital engagement services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data and ML platform engineering, cloud platform and product engineering, IoT and edge computing, and digital engagement services. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India. 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, the AI-Enabled Development Platform, and the Grid Dynamics AI-Native Development Framework.

These forward-looking statements involve significant risks and uncertainties that could cause the actual results to differ materially from the expected results. 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 its expected benefits, the expected performance and functionality of our software offerings, as well as 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 February 27, 2025, and in other periodic filings Grid Dynamics makes with the SEC.

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