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Art Data is a technology company based in Serbia that operates within the digital services and broader software sector. Due to a limited public footprint, specific details regarding the organization's core software offerings, primary business model, and target customer demographics remain undisclosed in standard financial and market databases. The enterprise maintains a localized web presence through its national country-code domain, suggesting a focus on regional operations or a stealth-oriented development phase. Financial metrics, including total venture funding raised, current enterprise valuation, employee headcount, and active user counts, are not publicly reported at this time. Furthermore, information concerning institutional backers, lead investors, portfolio companies, or strategic corporate partnerships has not been disclosed to the broader market. The exact founding year and the identities of the original founders are currently unavailable in standard public corporate records.
Art Data has raised $700K across 1 funding round.
Art Data has raised $700K in total across 1 funding round.
Art Data has raised $700K across 1 funding round. Most recently, it raised $700K Seed in March 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Mar 1, 2021 | $700K Seed | — | Inovexus, Damien Fretay | Announced |
Art Data has raised $700K in total across 1 funding round.
Art Data's investors include Inovexus, Damien Fretay.
DataArt is a New York City-based global software engineering and IT consultancy firm specializing in breakthrough data, analytics, and AI platforms for industries like finance, media & entertainment, healthcare, retail, and travel & hospitality.[1][3][4] It serves demanding organizations by delivering product development, system modernization, security services, managed support, and digital transformation, with a focus on cloud, AI/ML, UX, and data solutions through partnerships with AWS, GCP, Azure, Snowflake, and Databricks.[3][5] Operating from over 30 locations worldwide, including the US, Europe, UK, Latin America, and UAE, DataArt emphasizes people-first principles, long-term client partnerships, and recent expansions like a $100 million commitment to data and AI capabilities amid rising demand.[1][3][5]
The firm powers operational efficiency, customer experience enhancements, and new business models for clients such as Ocado, Travelport, Centrica/Hive, Paddy Power Betfair, IWG, Univision, and Apple Leisure Group, while supporting community initiatives like Girls Who Code and women in IT programs.[1][5]
DataArt was founded in 1997 in New York City by Eugene Goland, who serves as president and CEO, starting as a U.S. corporation focused on IT consultancy.[1] The company expanded internationally with a London office in 2001 and achieved Microsoft Gold Certified Partner status in 2007 through high customer satisfaction ratings.[1] Over the years, it evolved from core software engineering to a leader in data, analytics, and AI, earning recognitions like IAOP Global Outsourcing 100 leadership in 2024 and launching Advanced AI Strategy Consulting that year.[1][5] Key milestones include 20+ R&D labs for rapid innovation and sustained private profitability enabling long-term investments.[3][5]
DataArt rides the enterprise AI and data transformation wave, capitalizing on surging demand for AI-native assets, cloud optimization, and analytics to drive revenue and efficiency in a post-2024 AI boom.[3][5] Timing aligns with market forces like hyperscaler maturity (AWS, GCP, Azure) and regulatory pushes for secure AI, positioning it to help mid-market enterprises via Everest-recognized cloud services.[5] It influences the ecosystem by fostering R&D labs that accelerate innovation, partnering with nonprofits for diverse talent pipelines, and enabling clients to launch AI-driven models amid global digital shifts.[1][3][5]
DataArt is poised to expand its AI leadership with the $100M infusion fueling more R&D and services like Advanced AI Strategy Consulting, targeting trends in foundation-model readiness and ethical AI scaling.[1][5] As enterprises prioritize AI for competitive edges, expect deeper hyperscaler integrations and growth in healthcare/finance verticals. Its private, profitable model ensures agility, potentially amplifying influence through acquisitions or expanded labs—solidifying its role from consultancy to indispensable AI partner in a data-centric tech landscape.[3][5]
