Welcome to the latest edition of the Grid Dynamics newsletter! As we approach the holiday season and prepare for 2025 opportunities, we’re excited to share news of our recent acquisitions: JUXT and Mobile Computing. This issue also offers valuable insights into the trends shaping customer experience and generative AI in 2025, and highlights the innovations driving change across tech and business.
5 digital engagement trends for 2025
As customer expectations evolve, staying ahead of the latest trends is essential for digital success. Our latest eBook,
5 digital engagement trends for 2025: Delivering immediate and tangible value using generative AI and composable commerce, provides an in-depth look at the emerging trends shaping the future of online shopping. From personalized landings and product discovery to AI-driven order fulfillment and customer support, this ebook will help you capitalize on emerging tech and build stronger connections with your customers.
Grid Dynamics expands global reach with JUXT acquisition
Grid Dynamics has acquired JUXT, a UK-based provider of software engineering services specializing in data-intensive information systems for banking and other financial institutions. This move reinforces Grid Dynamics’ commitment to delivering innovative solutions and scaling its services to meet growing market demands in the BFSI sector.
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Grid Dynamics expands capabilities with acquisition of Mobile Computing
Grid Dynamics has announced the acquisition of Mobile Computing, a leader in mobile technology solutions. This strategic move enhances Grid Dynamics’ ability to provide innovative, end-to-end solutions for enterprises across industries, with a focus on improving mobile user experiences, performance, and scalability.
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Grid Dynamics introduces Composable Commerce Starter Kit on Microsoft Azure
Grid Dynamics introduces its Composable Commerce Starter Kit to help B2C and B2B businesses replace legacy systems with modern, scalable digital commerce solutions. Built on Microsoft Azure with commercetools at its core, the kit enables rapid deployment, improved efficiency, and adaptability to evolving customer and business needs.
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Semantic layer architecture: Streamline enterprise data access
Discover how our cloud-agnostic semantic layer creates a unified data access framework that abstracts data complexity across your enterprise stack and accelerates decision-making. This demo shows how we eliminate data silos, standardize governance, and enable real-time analytics integration—delivering immediate business value while simplifying your enterprise architecture.
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Developer portal: SDLC automation
Ready to streamline your development process? Access all development tools in one self-service platform. Manage portfolios, control environments, automate releases, and detect blind spots. Boost innovation while reducing complexity through automated workflows and centralized management.
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Scale LLM application prototypes into commercial solutions
Moving beyond proof-of-concept is where most AI initiatives falter. Our latest ebook shows how LLMOps bridges the gap between promising prototypes and profitable, enterprise-grade LLM applications. Learn proven methodologies for scaling AI solutions, from optimizing model performance to implementing robust monitoring systems that ensure consistent ROI across your production environment. Discover how industry leaders are accelerating their path from prototype to profit using practical LLMOps platforms.
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Unlock new revenue streams with embedded finance
Transform your core business offerings into revenue engines with embedded finance architecture. Our latest eBook examines the technical framework and business case for integrating financial services into your existing infrastructure. Learn how industry leaders are leveraging APIs, AI, and RegTech to create new revenue channels while delivering seamless customer experiences through secure, scalable financial infrastructure.
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Harnessing GenAI to accelerate new product introduction
Explore how leading companies streamline their product development cycles and bring innovations to market faster leveraging GenAI, automation, predictive analytics, and integrated testing environments. Our latest white paper dives into best practices for New Product Introduction (NPI), covering strategies to reduce costs, improve efficiency, and drive faster time-to-market.
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Simplify the critical path from GenAI pilots to production with AWS
This white paper explores how Grid Dynamics and AWS help organizations overcome the key challenges of enterprise AI adoption. Through our LLMOps Platform Starter Kit for AWS, we provide a proven framework for scaling AI initiatives while addressing critical concerns in data privacy, architecture, and compliance. Technical leaders and executives will learn practical strategies for accelerating their AI journey from proof-of-concept to production-ready solutions that deliver measurable business value.
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AI financial advisor: Assess investment suitability with GenAI
Learn how Grid Dynamics’ GenAI Investment Suitability Assistant helps wealth management advisors analyze complex financial documents, automate due diligence processes, and generate quantifiable suitability scores that align with FINRA Rule 2111 and Reg BI requirements. See practical applications for reducing manual workflows while maintaining rigorous compliance standards in alternative investment recommendations.
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GenAI for small insurers: Streamline product filings, compliance, and brokerage
Find out how small insurers are leveraging generative AI and large language models to expand their market share, enhance customer experiences, and streamline operations. Our latest eBook provides actionable insights and strategies tailored to help insurers thrive in a competitive landscape.
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