DataArt
New York-founded software engineering firm operating from 30+ global locations since 1997.
Founded 1997 | New York, USA | 5,001–10,000 employees | Last updated: July 2026
ml-developmentdata-engineeringai-consultingstaff-aug
What is DataArt?
DataArt is a software engineering and consulting company founded in 1997 in New York by Eugene Goland, with roughly 5,400 employees across more than 30 locations spanning the US, Europe, Latin America, India, and the UAE. The firm added an Advanced AI Strategy Consulting service line in 2024, delivering data, analytics, and AI/ML work alongside its long-standing core software engineering practice.
DataArt was founded in 1997 and is headquartered in New York, USA. The firm employs 5,001–10,000 people and works primarily with clients in Financial Services, Media & Entertainment, Healthcare, Retail, Travel & Hospitality sectors. Its primary differentiator is: 28 years of operating history across 30+ global delivery locations, with a newer (2024) dedicated AI strategy consulting service line..
DataArt tech stack and services
PythonAzure OpenAIAWSDatabricks
| Service area | Details |
|---|---|
| Enterprises wanting AI strategy consulting bundled with long-term software engineering delivery | Available for Financial Services, Media & Entertainment, Healthcare, Retail, Travel & Hospitality clients |
| Media or travel companies needing broad-based data and AI/ML capability | Available for Financial Services, Media & Entertainment, Healthcare, Retail, Travel & Hospitality clients |
| Global programs benefiting from DataArt's 30+ location delivery footprint | Available for Financial Services, Media & Entertainment, Healthcare, Retail, Travel & Hospitality clients |
DataArt use cases
Short answer: DataArt is best suited for enterprises across finance, media, healthcare, and retail wanting AI/ML from a long-established, globally distributed software engineering partner..
| Use case | Industries | Approach |
|---|---|---|
| Enterprises wanting AI strategy consulting bundled with long-term software engineering delivery | Financial Services, Media & Entertainment | Python, Azure OpenAI |
| Media or travel companies needing broad-based data and AI/ML capability | Financial Services, Media & Entertainment | Python, Azure OpenAI |
| Global programs benefiting from DataArt's 30+ location delivery footprint | Financial Services, Media & Entertainment | Python, Azure OpenAI |
DataArt pricing
Short answer: DataArt uses a fixed project, dedicated team, staff augmentation pricing approach. Minimum engagement starts at Not published.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From Not published | Well-defined scope |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Staff augmentation | Variable; depends on team size | Large programmes or team augmentation |
DataArt does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
DataArt pros and cons
| Advantages | Things to consider |
|---|---|
| +28 years of continuous operation under the same founder-led leadership | -AI Strategy Consulting is a comparatively recent addition (2024) versus firms with a decade-plus dedicated AI/ML focus |
| +30+ global delivery locations across five regions supports broad geographic coverage | -5,400-employee scale sits within a broad general software-engineering practice rather than an AI-first firm |
| +Named AI Strategy Consulting service line launched in 2024 shows deliberate recent AI investment | -Minimum engagement size not publicly disclosed |
| +Broad industry coverage spanning finance, media, healthcare, and travel |
DataArt vs alternatives
How DataArt compares to the other top Machine Learning Development agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Neurons Lab | Enterprises in financial services or other regulated sectors... | One of the few AI consultancies worldwide holding AWS's Advanced Machine Learning Consulting Competence. | 4.8 | Full comparison |
| Tensorway | Mid-market companies wanting a single vendor to cover... | Full-stack ML delivery — data science, MLOps, and LLM/agentic frameworks (LangChain, LangGraph, AutoGen) — in one team. | 4.6 | Full comparison |
| Provectus | Mid-market and enterprise buyers who want AI/ML delivery... | Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice. | 4.5 | Full comparison |
| InData Labs | Fintech, healthcare, and SaaS companies wanting a specialist... | Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing. | 4.5 | Full comparison |
| AI Superior | Small and mid-size companies in the EU that... | PhD-founder-led team with an explicit research-and-development service line alongside standard client delivery. | 4.3 | Full comparison |
| Data Monsters | Companies needing GPU-heavy deep learning work where an... | Elite NVIDIA partnership status supporting GPU-optimized deep learning delivery (per company website; independently unverifiable tier). | 4.2 | Full comparison |
| ITRex Group | Mid-market companies combining AI/ML work with IoT or... | Explicit focus on applied AI paired with intelligent-edge and IoT development, not just cloud-based ML. | 4.2 | Full comparison |
| Ideas2IT | Healthcare, BFSI, and manufacturing enterprises wanting AI capability... | Employee-ownership model paired with vertical focus in Healthcare, BFSI, and Manufacturing. | 4.1 | Full comparison |
| Quantiphi | Enterprises, especially in financial services, needing AI delivery... | AI-native firm that reached enterprise scale (2,600+ employees) without pivoting from generalist IT outsourcing. | 4.4 | Full comparison |
| Fractal Analytics | Large enterprises wanting a publicly-listed, financially transparent AI/analytics... | First Indian AI company to complete an IPO (NSE/BSE, February 2026), adding public financial transparency. | 4.4 | Full comparison |
| Tredence | Retail, CPG, and industrials companies wanting industry-contextualized data... | Deep vertical focus applying AI specifically within retail, CPG, and industrials contexts rather than horizontal AI consulting. | 4.2 | Full comparison |
| Sigmoid | Large enterprises needing a data-engineering-first partner that also... | Data-engineering-first delivery model, with ML/AI built directly on pipelines the firm also builds and manages. | 4.2 | Full comparison |
| LatentView Analytics | Companies wanting analytics and BI delivery with ML... | Publicly listed (NSE/BSE since 2021) analytics firm with two decades of operating history. | 3.9 | Full comparison |
| Indium Software | Companies that already use Indium for QA/testing and... | Long-standing QA and testing heritage now paired with proprietary AI accelerators like teX.ai. | 3.8 | Full comparison |
| Grid Dynamics | Enterprises needing SEC-level financial transparency and public-company compliance... | Nasdaq-listed public company (GDYN) with SEC-filed financials, offering procurement transparency few competitors match. | 4.1 | Full comparison |
| Persistent Systems | Very large enterprises that want AI/ML delivered by... | Enterprise-wide scale (24,000+ employees) supporting AI/ML as part of a full IT services portfolio, not a standalone specialty. | 3.8 | Full comparison |
| EPAM Systems | The largest global enterprises needing AI delivery embedded... | Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL). | 3.8 | Full comparison |
| SoftServe | Enterprises wanting a large, established engineering partner with... | 32 years of continuous operation spanning both a US public-market presence and deep Ukrainian engineering roots. | 4.0 | Full comparison |
| N-iX | Mid-to-large enterprises, including Fortune 500 clients, wanting a... | 23 years of operating history originating from a Novell technology acquisition, now serving Fortune 500 clients from a Malta-based HQ. | 4.0 | Full comparison |
| Andersen | Mid-to-large enterprises wanting AI/ML and data science delivered... | Named AI-powered robotic integration line alongside standard AI/ML and data science services. | 4.0 | Full comparison |
| Innowise Group | Companies wanting AI/ML delivered as part of a... | Full-cycle software development scope (web, mobile, cloud, QA, security) with AI/ML as one of several integrated specialties. | 3.9 | Full comparison |
| Sigma Software Group | Companies wanting ML delivered by an outsourcing firm... | Consecutive annual placement on IAOP's World's Top 100 Outsourcing list every year since 2015. | 4.0 | Full comparison |
| Exadel | Enterprises wanting model design through MLOps and production... | Explicit end-to-end scope 'from model design to MLOps and integration' as one of five named core service lines. | 4.1 | Full comparison |
| MobiDev | Retail, hospitality, and health/fitness companies wanting a mid-size... | 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals. | 4.2 | Full comparison |
| Master of Code Global | Companies specifically building conversational AI, chatbot, or generative-AI-driven... | Specialization narrowly focused on conversational AI and chatbots, with 1,000+ projects delivered over 21 years. | 4.1 | Full comparison |
| ScienceSoft | Companies wanting AI/ML delivered by a long-established generalist... | 36 years of continuous IT consulting history, one of the longest track records among firms on this list. | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI-powered application development from a firm... | Named enterprise client roster (EY, Harley-Davidson, London Stock Exchange, Qualcomm, Jaguar) rare among mid-size firms on this list. | 4.0 | Full comparison |
| Belitsoft | Small-to-mid companies wanting AI/ML added to a broader... | 21 years as a custom software development firm now expanding deliberately into generative AI and predictive analytics. | 3.9 | Full comparison |
| Neoteric | Small and mid-size companies wanting an accessible, specialized... | 20 years of operating history condensed into a compact, generative-AI-focused team rather than a broad IT services portfolio. | 4.3 | Full comparison |
| Addepto | Companies wanting boutique AI/BI consulting from a team... | Boutique AI/BI consultancy that gained additional scale and resources through its December 2025 acquisition by KMS Technology. | 4.1 | Full comparison |
| Softweb Solutions | Companies needing AI/ML specifically paired with IoT sensor... | Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects. | 3.9 | Full comparison |
DataArt FAQ
What is DataArt?
DataArt is a software engineering and consulting company founded in 1997 in New York by Eugene Goland, with roughly 5,400 employees across more than 30 locations spanning the US, Europe, Latin America, India, and the UAE. The firm added an Advanced AI Strategy Consulting service line in 2024, delivering data, analytics, and AI/ML work alongside its long-standing core software engineering practice.
How much does DataArt charge?
DataArt uses fixed project, dedicated team, staff augmentation pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.
What tech stack does DataArt use?
DataArt works with Python, Azure OpenAI, AWS, Databricks. Primary industries served include Financial Services, Media & Entertainment, Healthcare, Retail, Travel & Hospitality.
Is DataArt right for enterprise?
Enterprises across finance, media, healthcare, and retail wanting AI/ML from a long-established, globally distributed software engineering partner.. 5,001–10,000 team size. Key consideration: AI Strategy Consulting is a comparatively recent addition (2024) versus firms with a decade-plus dedicated AI/ML focus.
What are the best DataArt alternatives?
The best alternatives to DataArt depend on your use case. Top options are:
- Neurons Lab: one of the few ai consultancies worldwide holding aws's advanced machine learning consulting competence.
- Tensorway: full-stack ml delivery — data science, mlops, and llm/agentic frameworks (langchain, langgraph, autogen) — in one team.
- Provectus: combines ai/ml delivery with cloud and big-data engineering as a single integrated systems-integrator practice.
Compare DataArt with other Machine Learning Development agencies
DataArt vs Neurons Lab DataArt vs Tensorway DataArt vs Provectus DataArt vs InData Labs DataArt vs AI Superior DataArt vs Data Monsters DataArt vs ITRex Group DataArt vs Ideas2IT DataArt vs Quantiphi DataArt vs Fractal Analytics DataArt vs Tredence DataArt vs Sigmoid DataArt vs LatentView Analytics DataArt vs Indium Software DataArt vs Grid Dynamics DataArt vs Persistent Systems DataArt vs EPAM Systems DataArt vs SoftServe DataArt vs N-iX DataArt vs Andersen DataArt vs Innowise Group DataArt vs Sigma Software Group DataArt vs Exadel DataArt vs MobiDev DataArt vs Master of Code Global DataArt vs ScienceSoft DataArt vs Intellectsoft DataArt vs Belitsoft DataArt vs Neoteric DataArt vs Addepto DataArt vs Softweb Solutions
Last reviewed: July 2026. Verify all details directly with DataArt before making a decision.