

Grid Dynamics and Doosan Robotics Partner to Accelerate AI-Powered Automation Across Manufacturing and Logistics
Grid Dynamics Holdings, Inc. (Nasdaq: GDYN), a leading enterprise AI transformation company serving Fortune 1000 organizations, has announced a strategic partnership with Doosan Robotics, a global provider of collaborative robot (cobot) solutions, to accelerate the adoption of Physical AI across manufacturing, logistics, and industrial operations worldwide. The collaboration combines Grid Dynamics’ expertise in enterprise artificial intelligence and digital engineering with Doosan Robotics’ advanced collaborative robotic systems to deliver next-generation automation solutions capable of addressing increasingly complex industrial tasks.
The partnership is designed to provide manufacturers and logistics companies with an integrated hardware-and-software ecosystem that enables rapid deployment of AI-powered robotic applications. By combining intelligent robotics, advanced AI models, digital twin technologies, and enterprise integration services, the two companies aim to help industrial organizations automate tasks that have traditionally been difficult or impossible for conventional robotics systems.
As industries continue to face labor shortages, rising operational costs, increasing product customization, and growing demands for efficiency, manufacturers are looking beyond traditional automation toward intelligent robotic systems capable of learning, adapting, and making decisions in dynamic production environments. The collaboration between Grid Dynamics and Doosan Robotics seeks to address these evolving needs by delivering scalable Physical AI solutions that enhance productivity while reducing implementation complexity.
Combining Artificial Intelligence with Collaborative Robotics
Unlike traditional industrial robots that require highly structured environments and pre-programmed routines, collaborative robots are designed to safely work alongside human operators while performing a wide range of manufacturing and logistics tasks.
By integrating advanced artificial intelligence into collaborative robotic platforms, companies can significantly expand the range of operations robots are capable of performing. AI-powered robots can recognize complex objects, adapt to changing conditions, learn from sensor inputs, and execute sophisticated manipulation tasks that previously required human judgment.
Grid Dynamics and Doosan Robotics believe this convergence of robotics and AI will play a transformative role in the next generation of industrial automation.
Introducing the GAIN Platform for Physical AI
At the center of the partnership is Grid Dynamics’ GAIN Platform for Physical AI, an enterprise platform developed to accelerate the deployment of intelligent robotic applications.
The platform enables Doosan Robotics customers to rapidly design, build, deploy, and manage advanced robotic workflows while integrating the latest Physical AI technologies into production environments.
Rather than relying solely on traditional robot programming techniques, the GAIN Platform leverages modern AI models, digital engineering, and simulation technologies to simplify deployment and improve robotic performance.
The platform supports every stage of robotic implementation, from workflow development and AI model deployment to operational monitoring and continuous optimization.
Accelerating Robotic Workflow Development
One of the major advantages of the GAIN Platform is its ability to dramatically reduce the time required to create advanced robotic manipulation workflows.
Industrial organizations often spend months programming, testing, and validating robotic applications before they are ready for production.
By incorporating AI-driven automation capabilities, Grid Dynamics enables engineers to rapidly configure sophisticated robotic operations while reducing software development complexity.
This accelerated development process allows manufacturers to bring intelligent automation projects online faster while reducing engineering costs and deployment risks.
Deploying Advanced Physical AI Models
The platform also enables industrial customers to deploy the latest generation of Physical AI models directly into robotic production environments.
Physical AI represents a significant advancement beyond conventional industrial automation by enabling robots to understand physical surroundings, interpret sensory information, and make intelligent decisions while interacting with real-world objects.
Instead of simply following predefined instructions, AI-powered robots can adapt to variations in materials, product positioning, lighting conditions, and manufacturing environments.
This flexibility allows manufacturers to automate processes that previously required skilled human intervention.
Digital Twins Improve Operational Performance
A key component of the GAIN Platform is its integration with digital twin technology.
Digital twins create virtual replicas of manufacturing systems, robotic cells, and production lines, enabling engineers to simulate operations before physical deployment.
Using digital twins, manufacturers can evaluate robotic performance, optimize workflows, identify bottlenecks, and test process improvements without interrupting actual production.
This virtual environment significantly reduces implementation risks while improving system reliability and operational efficiency.
Once robotic systems are deployed, digital twins continue to provide valuable operational insights by supporting predictive maintenance, process optimization, and performance monitoring.
Solving Complex Automation Challenges
Traditional industrial robots perform exceptionally well when executing repetitive tasks involving standardized products and predictable environments.
However, many modern manufacturing operations involve significant variability that conventional robotics struggle to handle.
The combined solution from Grid Dynamics and Doosan Robotics is specifically designed to address these advanced automation challenges.
Examples include:
- Processing complex-geometry components
- Inspection of irregular products
- Variable assembly operations
- Packaging deformable products
- Handling previously unseen objects
- Adaptive material manipulation
These applications often require robots to interpret sensory information, recognize changing conditions, and adjust movements dynamically—capabilities made possible through Physical AI.
Supporting Advanced Manufacturing Applications
Manufacturers increasingly require robotic systems capable of handling products that differ in size, shape, orientation, and material characteristics.
Industries such as automotive, electronics, aerospace, consumer goods, and medical device manufacturing frequently encounter production variability that limits traditional automation approaches.
Through this partnership, industrial customers gain access to AI-enabled robotic solutions capable of supporting highly flexible manufacturing environments.
Applications may include precision assembly, quality inspection, adaptive material handling, packaging automation, surface finishing, machine tending, and logistics operations.
These intelligent robotic capabilities can improve productivity while reducing waste and increasing product quality.
Joint Go-to-Market Strategy
Beyond technology integration, the partnership establishes a coordinated global go-to-market strategy for delivering Physical AI solutions to industrial customers.
By combining Doosan Robotics’ global hardware presence with Grid Dynamics’ enterprise AI implementation expertise, the companies intend to provide complete turnkey automation solutions rather than individual products.
Customers will benefit from an integrated technology stack that includes:
- Collaborative robots
- Physical AI software
- AI deployment services
- Digital twin technologies
- Enterprise integration
- Engineering support
- Ongoing optimization services
This end-to-end approach simplifies adoption while reducing implementation complexity for manufacturers seeking intelligent automation.
Advancing Robotics Research and Development
The partnership also includes collaborative research focused on robotics policy control.
Policy control refers to the AI algorithms that determine how robots make decisions and execute movements based on sensory inputs and environmental conditions.
Continued research in this area aims to improve robotic adaptability, precision, learning capabilities, and operational efficiency.
As Physical AI technologies continue to evolve, advancements in robotics policy control will play an increasingly important role in enabling robots to perform more sophisticated industrial tasks safely and autonomously.
Leadership Perspective
Ilya Katsov, Chief Technology Officer, Americas, at Grid Dynamics, emphasized that the collaboration supports the company’s mission of delivering production-ready Physical AI solutions capable of solving high-value industrial use cases.
According to Katsov, combining Grid Dynamics’ AI software capabilities with Doosan Robotics’ collaborative robotic platforms creates a comprehensive full-stack solution that simplifies implementation while accelerating commercial deployment across global markets.
He noted that intelligent robotic applications such as dual-arm assembly and advanced packaging represent significant opportunities for manufacturers seeking to improve operational efficiency through AI-powered automation.
Doosan Robotics Highlights Global Collaboration
Michael Ryu, General Manager and Head of Doosan Robotics Europe, described the partnership as an important step toward making advanced AI robotics more accessible to industrial users worldwide.
He explained that combining Doosan Robotics’ collaborative robot technology with Grid Dynamics’ enterprise AI expertise enables customers to deploy sophisticated automation solutions more efficiently.
The collaboration also expands customer access to advanced Physical AI technologies supported by an international engineering network capable of delivering comprehensive implementation services across multiple industries and geographic regions.
Grid Dynamics: Enterprise AI Expertise
Founded in 2006, Grid Dynamics has established itself as a leading AI transformation partner for Fortune 1000 companies.
Headquartered in Silicon Valley, the company helps enterprises identify high-value AI opportunities, build scalable intelligent systems, and generate measurable business outcomes through artificial intelligence deployment.
Grid Dynamics combines expertise in AI, cloud computing, data engineering, digital transformation, and enterprise software development to support organizations undergoing technology modernization.
The company maintains operations across the Americas, Europe, and India, providing global delivery capabilities for multinational clients.
Doosan Robotics: Expanding Intelligent Automation
Doosan Robotics has become one of the world’s leading providers of collaborative robotic solutions, serving customers in 45 countries.
The company focuses on developing intuitive automation technologies that simplify robot deployment while improving safety and usability.
Its product portfolio includes advanced collaborative robots featuring user-friendly programming interfaces, intelligent software applications, and innovations such as the proprietary Cockpit feature, which enables direct manual interaction for safer and more intuitive robot operation.
Doosan also continues advancing AI-powered robotic capabilities through technologies such as its award-winning Scan & Go solution, which combines perception-based learning, physics-informed AI, and 3D vision to automate complex industrial processes including sanding, grinding, and precision finishing of curved surfaces.
Looking Ahead
As manufacturers and logistics providers increasingly embrace AI-driven automation, the partnership between Grid Dynamics and Doosan Robotics positions both companies at the forefront of the rapidly evolving Physical AI market. By integrating collaborative robotics, advanced artificial intelligence, digital twin technologies, and enterprise engineering expertise, the companies aim to accelerate the deployment of intelligent automation capable of handling complex real-world manufacturing challenges.
The collaboration reflects a broader industry shift toward flexible, adaptive robotic systems that can work safely alongside people while performing sophisticated tasks once considered beyond the reach of conventional automation. With complementary strengths in AI software and collaborative robotics, Grid Dynamics and Doosan Robotics are well positioned to help industrial organizations improve productivity, enhance operational efficiency, and unlock the next generation of smart manufacturing and logistics solutions.
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