Technical Expertise and Scalable Engineering
Grid Dynamics believes in great engineering underpinning mission-critical services. From its inception, Grid Dynamics has built its engineering DNA with a focus on emerging technologies, leading with AI and generative AI, data engineering, cloud and microservices, DevOps and AIOps, modern frontend technologies, and QA automation. By making advanced technology accessible to clients through experience and know-how, industry solutions, and accelerators, Grid Dynamics strengthens its position as a strategic technology partner with existing clients and attracts new clients.
Services
In today’s engineering and IT services market, customers are increasingly looking for service providers that can be co-innovation partners rather than an implementation agency or a cost-saving measure. Grid Dynamics addresses this need by focusing on four high-value, high-impact service areas.
Cloud Platform and Product Engineering
Our Cloud Platform and Product Engineering practice provides innovative services that enable businesses to harness the power of cloud computing and modern application development methodologies. We specialize in architecting, designing, and building scalable, secure, and resilient cloud-based platforms and business applications that power digital transformation and business agility. Our expertise in platform engineering, cloud migration and modernization, DevTestSecOps, microservices, and serverless architecture helps organizations generate more revenue, reduce costs, improve time to value, and enhance performance. By leveraging our services, customers can partner with Grid Dynamics to drive focus on innovation and growth using the latest advancements in platform engineering and product development.
AI/Machine Learning and Data Platform Engineering
In the domain of Data and Machine Learning Platform Engineering, we offer specialized services that empower businesses to unlock the full potential of their structured and unstructured data. Our team of experts builds robust, scalable platforms that facilitate batch and streaming data ingestion, quality, governance, orchestration, semantic modeling, observability, and analysis at scale. By applying advanced artificial intelligence, machine learning algorithms, and analytics, we help companies derive actionable insights, predict trends, accelerate operations, and make data-driven decisions in the areas of pricing, promotions, customer experience, risk management, and supply chain that drive competitive advantage. Our approach to data engineering and advanced analytics ensures that our customers have a solid technology foundation to support their evolving data needs and democratize it across the enterprise — enabling them to leverage their data assets for maximum impact.
Digital Engagement
Our Digital Engagement practice focuses on creating meaningful interactions between businesses and their customers through all digital channels. We design and implement digital ecosystems that enhance customer experiences, foster brand loyalty, and drive business growth. Our expertise in digital commerce, user experience design and mobile application engineering, computer vision, deep learning, neural search, generative AI, and large language models, enables organizations to engage with their audience more effectively across multiple touchpoints. We co-innovate with clients and prioritize customer-centric approaches to design, build, and deploy engaging digital presences that resonate with their target audiences — increasing satisfaction and revenue. We partner with leading vendors in MACH and Composable Commerce to drive the highest return on investment for our clients.
Supply Chain, IoT, and Advanced Manufacturing
Our Supply Chain, Internet of Things (“IoT”), and Advanced Manufacturing practice focuses on transforming traditional operations into smart, connected ecosystems. We leverage the IoT, edge computing, advanced analytics, modern artificial intelligence, and machine learning technologies to optimize supply chain demand forecasting, inventory allocation, order management, logistics, and supplier management, improve manufacturing operational efficiency, and introduce innovation in product development and production