DataArt

DataArt is a software engineering and data consulting company. The organisation provides custom software development and data-focused professional services. Contact information in the source lists offices in New York, London, Zug and Munich, indicating operations in the United States, the United Kingdom, Switzerland and Germany; the New York office is shown prominently.

Services and Capabilities

• Custom software engineering — delivery of application code, platform implementation and ongoing engineering support for client systems.
• Data and analytics — design and build of data platforms, data pipelines, analytics solutions and reporting systems.
• Artificial intelligence and machine learning — development and integration of ML models and AI components into software products and data workflows.
• Cloud services and DevOps — cloud application migration, infrastructure automation, CI/CD pipelines and managed cloud operations.
• Quality and performance engineering — testing, performance benchmarking and reliability validation for software systems.
• Security and managed services — security assessments, remediation support, and long-term managed support for deployed systems.

Industry Focus

• Finance — implementation of software systems, integrations and data platforms for financial services clients.
• Travel technology — development of travel-related platforms and solutions for travel tech companies.
• Media and entertainment — software and data work to support content platforms and related services.
• Healthcare and life sciences — engineering and data projects for healthcare applications and life sciences workflows.
• Retail and distribution, and education — software development and data solutions tailored to retail operations and educational platforms.

Technology and Delivery Approach

• Emphasis on integration of systems and building data platforms that consolidate and process client data for analytics and reporting.
• Use of automation and DevOps practices to deliver infrastructure as code, continuous integration and continuous delivery.
• Delivery of AI and ML components as part of larger software systems, and deployment of analytics solutions to support decision making.
• Provision of managed services and support to operate and maintain delivered systems post-deployment.