Latest news with #GridDynamics'
Business Upturn
24-06-2025
- Business
- Business Upturn
Grid Dynamics Announces AI-Powered Engagement Model Enabling Accelerated Business Transformation for Fortune 1000 Enterprises
By Business Wire India Published on June 24, 2025, 09:40 IST San Ramon, Calif., United States: 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. Delivering value through iterative, prompt-guided development. Credit-based service consumption: Pricing aligned with desired outputs rather than effort—offering cost efficiency. 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. 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.' Visit this page to learn more. 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. View source version on Disclaimer: The above press release comes to you under an arrangement with Business Wire. Business Upturn takes no editorial responsibility for the same. Ahmedabad Plane Crash Business Wire India, established in 2002, India's premier media distribution company ensures guaranteed media coverage through its network of 30+ cities and top news agencies.
Business Wire
11-06-2025
- Business
- Business Wire
Grid Dynamics Releases Intralogistics Optimization Starter Kit for NVIDIA Omniverse
SAN RAMON, Calif.--(BUSINESS WIRE)-- Grid Dynamics Holdings, Inc. (Nasdaq: GDYN) (Grid Dynamics), a leading provider of technology consulting, platform and product engineering, AI, and digital engagement services, today announced the launch of its Intralogistics Optimization Starter Kit for NVIDIA Omniverse. This advanced solution enables retailers, manufacturers, and logistics companies to improve warehouse efficiency, reduce labor costs, and avoid the risks and expenses associated with real-world trial-and-error changes. The solution enables intralogistics operators to rapidly create digital twins of warehouses, distribution centers, and production facilities. It facilitates what-if analyses of potential layouts and picking paths under various workload scenarios, automates inventory placement optimization, and enables safe performance assessments before implementing physical changes. The Intralogistics Optimization Starter Kit combines the powerful simulation capabilities of NVIDIA Omniverse with advanced optimization components developed by Grid Dynamics. The resulting simulation-ready digital twin integrates a facility's physical layout, historical order patterns, and inventory picking mechanisms—enabling precise scenario testing under both typical and extreme workloads. The optimization components automate the search for ideal inventory placements and picking paths. These two processes work in tandem and iterate to achieve optimal operational configurations—all without the risks and costs of real-world experimentation. "Our clients see tremendous value in building digital twins for scenario simulation and optimization. To meet this demand, we are expanding our portfolio of supply chain and smart manufacturing solutions with starter kits for NVIDIA Omniverse and developing metric-driven methodologies for process improvement using this technology," said Ilya Katsov, CTO, Americas at Grid Dynamics. "We already work with a number of clients on intralogistics use cases such as facility layout optimization and robotic assembly simulation leveraging our Omniverse starter kit and observe positive business outcomes in terms of process visibility, simplicity of what-if analysis, and other aspects." Supporting the Innovation pillar of Grid Dynamics' GigaCube growth strategy, the Intralogistics Optimization Starter Kit extends the Grid Dynamics' supply chain and logistics accelerators to deliver transformative AI projects to manufacturing clients. Visit this page to learn more about the Intralogistics Optimization Starter Kit from Grid Dynamics. 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 Intralogistics Optimization Starter Kit, and GigaCube strategy. 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, 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.
Yahoo
16-05-2025
- Business
- Yahoo
GDYN Q1 Earnings Call: AI Services, Acquisitions, and Diversification Drive Grid Dynamics
Digital transformation consultancy Grid Dynamics (NASDAQ:GDYN) beat Wall Street's revenue expectations in Q1 CY2025, with sales up 25.8% year on year to $100.4 million. The company expects next quarter's revenue to be around $101 million, close to analysts' estimates. Its non-GAAP profit of $0.11 per share was 28.7% above analysts' consensus estimates. Is now the time to buy GDYN? Find out in our full research report (it's free). Revenue: $100.4 million vs analyst estimates of $98.44 million (25.8% year-on-year growth, 2% beat) Adjusted EPS: $0.11 vs analyst estimates of $0.09 (28.7% beat) Adjusted EBITDA: $14.61 million vs analyst estimates of $13.02 million (14.5% margin, 12.2% beat) The company reconfirmed its revenue guidance for the full year of $425 million at the midpoint EBITDA guidance for Q2 CY2025 is $13 million at the midpoint, below analyst estimates of $14.64 million Operating Margin: -2%, up from -6.9% in the same quarter last year Free Cash Flow Margin: 6%, up from 0.1% in the same quarter last year Market Capitalization: $1.21 billion Grid Dynamics delivered revenue and non-GAAP profit results that surpassed Wall Street expectations in Q1, with growth propelled by ongoing demand for digital transformation services and expansion into new verticals. Management attributed the strong performance to a record billable engineering headcount, successful execution of recent acquisitions, and increased traction for AI-driven solutions across key industry sectors such as financial services, retail, and manufacturing. CEO Leonard Livschitz remarked, 'Our performance was largely driven by customer-specific trends, particularly the ramp-up of new deals in automotive, financial, and consumer packaged goods.' Looking ahead, management reconfirmed its full-year revenue guidance at the midpoint, citing a robust pipeline of contracts in execution and anticipated ramp-up in the second half of the year. However, CFO Anil Doradla acknowledged that EBITDA guidance for the coming quarter implies some margin compression, reflecting ongoing investments in AI capabilities and talent expansion. Livschitz noted, "The confidence is there, but ultimately, we're not reading on the coffee grounds…it's based on what the world is and where we are," highlighting a measured approach in the face of ongoing macroeconomic uncertainty. Management's remarks centered on the operational and strategic developments supporting Grid Dynamics' top-line momentum and evolving business mix. The company's focus on AI-driven engagements, acquisition integration, and geographic expansion were highlighted as key contributors to near-term results and long-term positioning. AI Solutions Expansion: Grid Dynamics continued to shift from proof-of-concept projects to enterprise-scale AI implementations. The company highlighted Agentic AI platforms and AI-based search solutions that are creating new entry points with clients and expanding existing relationships. Acquisition Integration: Recent acquisitions in Argentina (Mobile Computing) and the UK (JUXT) accelerated vertical diversification and client penetration, especially in financial services. Management reported that synergies and cross-selling opportunities from these deals are materializing quicker than previous integrations. Geographic and Delivery Expansion: The company's expansion in India has established the region as a hub for advanced AI and cloud engineering. India's upskilled workforce now plays a central role in delivering multi-agent and multi-modal engineering solutions for enterprise clients. Partner Ecosystem Impact: Partnership-influenced revenue grew to 16% of the total, with management highlighting growing collaboration with hyperscalers like Google and Microsoft. Participation in events such as Google Next is expected to further build the company's pipeline. Vertical Diversification: Financial services became the second-largest revenue vertical. Grid Dynamics is also seeing traction in manufacturing, insurance, and healthcare, broadening its client base and reducing reliance on any single industry segment. Management's outlook for the remainder of the year is shaped by expectations of continued demand for AI-enabled digital transformation, expansion into new verticals, and ongoing investments in talent and technology—even as the company remains cautious about macroeconomic headwinds. AI and Platform Engineering Demand: The company expects client interest in enterprise-scale AI, especially Agentic AI and AI-powered productivity tools, to drive new bookings and deepen existing relationships. Acquisition Synergy Realization: Recently acquired businesses are forecast to contribute incrementally to revenue and enable entry into new client segments, particularly in financial services and manufacturing. Margin Pressures and Investment: Management anticipates margin pressure in the near term due to increased spending on AI training, engineering talent, and investments in delivery centers, but expects margin expansion over time as revenues scale and operational efficiencies are realized. Bryan Bergin (TD Cowen): Asked about the pace of client decision-making and project deferrals. Management emphasized stable client behavior and ongoing execution of long-term projects, stating most work is part of multi-year programs. Puneet Jain (JPMorgan): Inquired about shifts in client priorities within the retail and TMT verticals. CEO Livschitz responded that most clients are not shifting to cost-cutting, and exposure to China remains minimal. Puneet Jain (JPMorgan): Probed the rationale behind the expected second-half growth ramp. Management explained that seasonal working day increases and ramp-up of new deals provide visibility, with both new and existing accounts expected to contribute. Mayank Tandon (Needham): Asked about traction with new logos and verticals. Management indicated minimal near-term financial impact from new clients but noted strong contributions from accounts acquired in the previous year. Maggie Nolan (William Blair): Sought clarity on the structure of Agentic AI solutions and associated pricing models. Management described a shift from fixed-bid projects to longer-term fixed-capacity engagements as AI solutions become more integral to client operations. In the coming quarters, the StockStory team will monitor (1) the ramp-up of enterprise-scale AI deals, particularly the impact of Agentic AI platforms on client engagement and revenue, (2) the realization of revenue synergies and talent integration from recent acquisitions in the UK and Argentina, and (3) the scaling of Grid Dynamics' India operations as a delivery hub for advanced engineering. We will also watch for sustained diversification of the client base across new industry verticals. Grid Dynamics currently trades at a forward P/E ratio of 36.5×. In the wake of earnings, is it a buy or sell? See for yourself in our free research report. The market surged in 2024 and reached record highs after Donald Trump's presidential victory in November, but questions about new economic policies are adding much uncertainty for 2025. While the crowd speculates what might happen next, we're homing in on the companies that can succeed regardless of the political or macroeconomic environment. Put yourself in the driver's seat and build a durable portfolio by checking out our Top 5 Strong Momentum Stocks for this week. This is a curated list of our High Quality stocks that have generated a market-beating return of 176% over the last five years. Stocks that made our list in 2020 include now familiar names such as Nvidia (+1,545% between March 2020 and March 2025) as well as under-the-radar businesses like the once-micro-cap company Tecnoglass (+1,754% five-year return). 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