Custom Software Development•New York, NY

DataArt Review 2026 — Custom Software Development

4.1/ 5.0 from 760 verified buyer references
Founded
1997
Headquarters
New York, NY, US
Employees
~5,000
Regions Served
25+ countries
Industries
FS, Travel, Healthcare, Media, Logistics
Typical Engagement
$150K–$10M+ programmes

Overview

DataArt is a privately held custom software engineering firm founded in 1997 by Eugene Goland, who continues to serve as president and CEO. Headquarters are in New York; the global workforce is approximately 5,000 staff across 25+ countries, with major delivery centres in Poland, Bulgaria, Romania, the United Kingdom, Argentina, and Mexico. Revenue is not publicly disclosed (private, revenue not disclosed); third-party estimates place 2025 turnover in the US$300–500 million range, though sources vary widely. In June 2025 the firm received approximately US$100 million in unattributed funding; in March 2025 it acquired ACL, expanding its European delivery footprint.

For custom software development, DataArt operates as a long-tenured product engineering partner with deep specialisation in financial services (capital markets, trading platforms, wealth and asset management), travel and hospitality, healthcare and life sciences, and media and logistics. The firm differentiates on senior engineering ratios, long client tenure (average client relationships are reportedly over five years), and a partnership-oriented commercial model. In October 2025 the firm achieved Snowflake AI Data Cloud Premier Partner status.

DataArt is a fit for buyers seeking senior-led engineering at the small-cap and mid-market end of the market, particularly within financial services, travel, and healthcare. It is less well suited to large enterprise package implementation or very large multi-region transformation programmes. Buyers in regulated industries should diligence DataArt's compliance posture (HIPAA, FCA, PCI DSS) and request continuity documentation for any Eastern European delivery.

Services Offered

Typical Engagement

Engagement TypeModelTypical Range
Discovery and architecture assessmentFixed-fee project$60K–$300K (4–8 weeks)
Custom build programmeTime & materials, dedicated pod$500K–$6M (9–24 months)
Multi-year managed engineering capacityOutcome contract$1.5M–$20M+ (3–5 years)
Dedicated pod retainerMonthly retainer$45K–$200K per month per pod
Staff augmentation (senior engineer)Hourly bill rate$50–$135/hour blended

Pricing verified May 2026 from public procurement data and reference checks; ranges vary by region and engagement structure.

Strengths

  • Long-tenured engineering bench — average engineer tenure reportedly above five years, well above peer-group medians
  • Deep financial services capability — capital markets, trading platforms, wealth and asset management with HIPAA, FCA, and PCI DSS-certified delivery
  • Senior-heavy delivery model — typical pod is over 35 percent mid-to-senior engineers
  • October 2025 Snowflake AI Data Cloud Premier Partner status reflects data engineering capability
  • Commercial flexibility — DataArt is willing to scope smaller initial engagements and grow over time
  • Long client tenure — many anchor accounts have been with DataArt for over a decade, providing senior engineering continuity

Limitations

  • Private ownership reduces procurement-facing financial transparency versus publicly listed peers (EPAM, Globant, Endava)
  • Smaller scale than EPAM, Globant, or Indian tier-1s — capacity ceiling for very large multi-year programmes
  • Eastern European delivery concentration creates ongoing geopolitical risk, mitigated by LATAM expansion but still material
  • Limited capability in enterprise package implementation (SAP, Oracle ERP, Workday)
  • US delivery base is thin relative to engineering needs of regulated US clients requiring fully onshore capacity

Regions Served

Alternatives

Larger, more senior engineering bench, public-company disclosure
4.3
Larger European mid-tier, stronger payments engineering bench
4.1
Larger scale, stronger cloud partner credentials
4.1
Similar Ukrainian-rooted nearshore, comparable mid-market positioning
4.0
Smaller European nearshore with stronger automotive bench
4.1

Compare DataArt

DataArt vs EPAM → DataArt vs Endava → DataArt vs SoftServe →

Frequently Asked Questions

What is DataArt's typical custom software development project size?
DataArt engages on programmes from $150,000 upward — meaningfully lower than EPAM, Globant, or Endava. Discovery and architecture work typically sits in the $60,000 to $300,000 range over 4 to 8 weeks. The bulk of revenue comes from dedicated engineering pods in the $500,000 to $6 million range. The firm's smaller scale makes it accessible to mid-market and growth-stage clients that the largest peers will often decline.
How does DataArt price dedicated engineering pods?
Dedicated pods are priced at $45,000 to $200,000 per month depending on team size, seniority, and discipline mix. A typical mid-sized pod runs 4 to 7 engineers plus a tech lead, with shared product, design, and quality capacity. DataArt is generally more flexible on minimum pod commitments than larger peers, and many engagements begin with a 2-3 engineer team that grows over the first 6 to 12 months.
How does DataArt compare to EPAM Systems?
EPAM is materially larger (~63K vs 5K employees) with deeper financial services bench and public-company transparency. DataArt is significantly smaller but offers higher senior engineering ratios, longer client tenure, and more accessible commercial floors. For mid-market and growth-stage clients in financial services, travel, and healthcare DataArt is often a stronger fit. For large enterprise programmes requiring scale, EPAM tends to outperform.
Is DataArt suitable for regulated financial services work?
Yes. DataArt has a documented financial services practice with capital markets, wealth management, and trading platform engineering experience. The firm holds PCI DSS, FCA-relevant compliance frameworks, and works with US, UK, and Swiss regulated clients. Engineering teams supporting financial services clients typically include senior architects with prior tier-1 bank experience. Reference checks for FS engagements are typically straightforward to arrange.
Does DataArt have a generative AI engineering practice?
Yes. DataArt has a dedicated generative AI engineering practice covering RAG architectures, agent frameworks, and MLOps for production-grade systems. The firm achieved Snowflake AI Data Cloud Premier Partner status in October 2025 and supports Azure OpenAI, AWS Bedrock, and Google Vertex AI deployments. Pricing for AI engineering pods typically starts at $60,000 per month for a focused 3-engineer team plus tech lead.
Last updated: May 2026

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