DataArt

DataArt is a global software engineering firm that helps enterprise organizations design, build, modernize, and run data-driven, cloud-native platforms. The company centers its value proposition on turning business priorities into working software, with a strong emphasis on data, analytics, AI, and custom engineering for complex environments.

DataArt operates as a long-term technology partner across discovery, architecture, design, engineering, modernization, and ongoing support. Its approach combines domain expertise with reusable frameworks, accelerators, and AI-enabled delivery practices that improve speed, predictability, and governance. This positions DataArt well for organizations pursuing platform transformation, product evolution, and operational modernization.

Offerings, Capabilities, and Integrations

DataArt brings together strategy, solution architecture, software engineering, experience design, quality engineering, security, and operational support in a single delivery model. Its capabilities span data platform modernization, AI implementation, cloud-native development, legacy modernization, managed operations, and dedicated delivery teams aligned to client roadmaps.

A key differentiator is the way DataArt combines reusable engineering assets with AI-enabled delivery practices and a broad partner ecosystem. The company works across AWS, Microsoft, Google Cloud, Snowflake, Databricks, Salesforce, and other platforms to help clients integrate technologies, strengthen cloud foundations, streamline delivery, and move AI initiatives into production.

Products and Services

• Artisyn: An AI-enabled delivery platform that combines intelligent agents, reusable foundations, and proven frameworks to accelerate enterprise software delivery with built-in governance, security, and compliance guardrails.
• Data & Analytics: Services for data transformation, modern data platforms, analytics, BI, governance, and AI-powered data consumption that help organizations improve decisions and launch new business models.
• AI Software Development & Innovation: AI and ML services spanning strategy, prototyping, solution development, and production deployment across generative AI, agentic AI, predictive models, NLP, and AI-assisted engineering.
• Cloud Transformation: Cloud strategy, migration, cloud-native engineering, system integration, security, analytics, and FinOps-oriented optimization designed to improve agility, resilience, and cost control.
• Custom Software Engineering: Bespoke software design, architecture, development, integration, testing, and long-term product evolution tailored to specific business processes and technology ecosystems.
• Managed Services and Support: Production support services covering infrastructure management, patching, ongoing enhancements, L2 and L3 support, and 24×7 emergency response with AI-assisted monitoring and automation.
• UX & UI Design and Consulting Services: User-centered design services including research, UX audits, workshops, prototyping, design systems, usability testing, and implementation-ready interface design.
• Solution Architecture Consulting: Architecture assessment and advisory services for web, mobile, microservices, serverless, data, AI, cloud-native, and legacy modernization initiatives.
• Security Testing Services: Cybersecurity services including penetration testing, red teaming, cloud security assessment, and compliance support for business-critical systems and applications.
• Quality Engineering Services: Quality engineering and assurance services covering manual and automated testing, QA governance, non-functional testing, and AI-driven QA practices.
• Dedicated Delivery Center: A long-term engagement model that provides dedicated multidisciplinary engineering teams aligned to a client’s roadmap, domain requirements, and operating model.
• Well-Architected Review: A structured cloud workload review service focused on improving reliability, security, performance, cost optimization, and sustainability through architecture best practices.

Target Customers

DataArt primarily serves enterprise organizations and market leaders with complex technology estates, industry-specific workflows, and meaningful modernization agendas. It is especially relevant for companies that need to unify fragmented data, modernize legacy platforms, build new digital products, or operationalize AI within governed cloud environments.

Its strongest fit spans sectors where domain knowledge and systems integration matter, including financial services, healthcare and life sciences, retail and distribution, travel and hospitality, media and entertainment, and mobility and manufacturing. DataArt is best suited to organizations looking for a long-term engineering partner rather than a project-only vendor.

Cloud Integrations and Marketplace

• AWS Marketplace: DataArt maintains AWS Marketplace presence for service offerings such as database migration, landing zone setup, Well-Architected Review, generative AI prototyping, and application modernization.
• Microsoft Azure Marketplace: DataArt lists Azure-focused offers in Microsoft Azure Marketplace, including cloud migration, Azure AI and ML proof-of-concept services, generative AI prototyping, and application modernization.
• Microsoft AppSource: DataArt has Microsoft AppSource offerings that include Microsoft Fabric implementation services and Microsoft Teams Copilot development services.
• Google Cloud: DataArt has an active Google Cloud practice as a Premier Partner, supporting application development, AI and ML, modernization, and landing zone implementation.

Key People

• Eugene Goland: Co-Founder & CEO
• Michael Zaitsev: Chairman
• Alexei Miller: Managing Director at DataArt
• Alexey Filimonov: Chief Operating Officer
• Luba Kabrits: Chief Financial Officer
• Yuri Gubin: Chief Technology Officer
• Julia Zavileyskaya: Chief People Officer
• Scott Rayburn: Chief Marketing Officer
• Julie Pelta: Senior Vice President of Global Sales
• Daniel Piekarz: Senior Vice President, Healthcare & Life Sciences Practice Leader

Key Facts

• Headquarters: New York City, New York, USA
• Employees: 6,000+
• Annual Revenue: $378M
• Parent Company: None
• Subsidiaries: Overloop
• Publicly Listed: Private

Analyst Recognitions

• Gartner: 2025 Gartner Magic Quadrant for Custom Software Development Services — Honorable Mention. 2025 Demystify the Ops Landscape to Scale AI Initiatives: Gartner Trend Insight Report — Representative Vendor.
• Everest Group: 2026 Everest Group SPES PEAK Matrix Assessment – Global and EMEA — Major Contender. 2025 Everest Group Software Product Engineering Services for Mid-Market Enterprises PEAK Matrix Assessment — Leader. 2025 Everest Group AWS Services Specialists PEAK Matrix Assessment — Leader. 2025 Everest Group Data and AI Services Specialists – Europe PEAK Matrix Assessment — Major Contender. 2025 Everest Group Data and AI Services Specialists – North America PEAK Matrix Assessment — Major Contender. 2025 Everest Group Healthcare Data, Analytics, and AI Services PEAK Matrix Assessment — Major Contender. 2025 Everest Group Cloud Services for Mid-market Enterprises PEAK Matrix Assessment — Major Contender.