DataArt
New York software engineering firm founded in 1997
Founded 1997 | New York, United States | 5,700+ employees
Enterprise AIMachine LearningData EngineeringMLOps
What is DataArt?
DataArt was founded in 1997 by Eugene Goland and is headquartered in New York City, with roughly 5,700 employees spread across more than 30 locations in the US, Europe, the UK, Latin America, and the UAE. The firm delivers data, analytics, and AI platforms for finance, media and entertainment, healthcare and life sciences, retail, and travel and hospitality clients. Nearly three decades of operating history gives it a longer track record than almost every other firm on this list, though AI is delivered as part of a broader software engineering practice rather than a standalone specialty.
DataArt works primarily with clients in Financial services, Healthcare, Media & entertainment, Travel & hospitality sectors. Its primary differentiator is: Nearly 30 years of engineering history across 30-plus global delivery locations.
DataArt tech stack and services
PythonAWSAzureKubernetesApache Spark
| Service area |
|---|
| Enterprise AI |
| Machine Learning |
| Data Engineering |
| MLOps |
DataArt pricing
Short answer: DataArt uses a dedicated team or retainer pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Retainer | Monthly rate; not public | Ongoing AI engineering |
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 |
|---|---|
| +Nearly three decades of software engineering history, among the longest on this list. | -AI sits inside a much broader software engineering practice rather than being the firm's core identity |
| +5,700-plus employees across 30-plus locations globally. | -Enterprise scale typically means slower onboarding than smaller, more agile AI boutiques |
| +Named industry focus areas (finance, healthcare, travel) show real vertical depth. | |
| +Data and analytics platform experience supports AI work that needs solid data foundations. |
DataArt vs alternatives
How DataArt compares to the other top AI Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Regulated-industry teams needing compliant, production AI. | Full IP transfer plus GDPR/HIPAA/ISO-certified delivery on every engagement | 4.8 | Full comparison |
| BlueLabel | Product teams wanting AI features tied to real... | Decade of product-design discipline applied to LLM and agent engineering | 4.6 | Full comparison |
| Markovate | Startups needing a dedicated AI product partner, not... | Ten years of AI-only positioning predating the current generative AI wave | 4.5 | Full comparison |
| DataRoot Labs | Data-heavy startups needing applied ML research capacity. | R&D-style engagement model built for startups, not enterprise procurement | 4.4 | Full comparison |
| ITRex Group | Enterprises needing AI tied to existing data infrastructure. | Fifteen years pairing AI delivery with the underlying data engineering it depends on | 4.3 | Full comparison |
| Valiance Solutions | Government and public-sector bodies needing decision-support AI. | Built specifically around public-sector and government AI procurement, not consumer AI | 4.2 | Full comparison |
| BotsCrew | SMBs wanting a dedicated conversational AI specialist. | Chatbot and agent development as the sole focus since founding, not an added service line | 4.2 | Full comparison |
| EPAM Systems | Fortune 500 buyers needing AI at global engineering... | Public company scale (NYSE: EPAM) with AI folded into a much larger engineering practice | 4.1 | Full comparison |
| Grid Dynamics | Enterprises wanting a public, auditable AI engineering partner. | Nasdaq-listed (GDYN) with quarterly financial disclosure most competitors don't provide | 4.1 | Full comparison |
| LeewayHertz | Buyers wanting broad AI service coverage under one... | Backed by The Hackett Group's consulting and benchmarking network post-acquisition | 4.1 | Full comparison |
| InData Labs | Teams needing data science depth before an AI... | Data-science-first practice rather than a generative-AI-branded service line | 4.1 | Full comparison |
| Master of Code Global | Enterprises standardizing conversational AI across channels. | Two decades focused specifically on enterprise conversational AI, longer than most on this list | 4.0 | Full comparison |
| Softermii | Teams needing AI features built into a broader... | Full-stack product development capability alongside newer AI service lines | 4.0 | Full comparison |
| SoftKraft | Startups on a budget needing data-driven MVP work. | Small dedicated team pricing squarely at startup and SME budgets, not enterprise rates | 4.0 | Full comparison |
| N-iX | Enterprises wanting AI paired with cloud and embedded... | 50-plus delivered AI projects backed by named enterprise clients like Bosch and Siemens | 4.0 | Full comparison |
| Innowise Group | Buyers wanting one vendor to cover every AI... | Full-cycle coverage of nearly every AI service category under a single 2,000-plus person firm | 4.0 | Full comparison |
| 10Clouds | Product teams wanting AI folded into UX and... | AI treated as one integrated capability inside full product design and development | 4.0 | Full comparison |
| Cleveroad | Startups needing AI features inside a mobile or... | Production-deployment discipline carried over from a decade of mobile and web delivery | 4.0 | Full comparison |
| Accenture | Global enterprises running AI transformation across many business... | 60,000-plus trained generative AI practitioners inside a global consulting organization | 4.0 | Full comparison |
| AtliQ Technologies | Budget-conscious teams wanting AI added to a product... | US and India presence at startup-friendly pricing for a firm founded in 2017 | 3.9 | Full comparison |
| Simform | Enterprises pairing AI with a larger cloud engineering... | 1,400-plus engineers spanning six continents inside one accountable vendor | 3.9 | Full comparison |
| 10Pearls | Enterprises wanting AI bundled with digital transformation work. | Two decades of digital transformation delivery with AI as an established add-on practice | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI alongside blockchain or IoT work. | Combines AI with blockchain and IoT engineering under one roof | 3.9 | Full comparison |
| Debut Infotech | Mobile-first products needing AI features added on. | Mobile and digital product development background with AI layered on top | 3.9 | Full comparison |
| eSparkBiz | Cost-sensitive teams needing certified AI-adjacent delivery. | CMMI Level 3 and ISO 9001 certification uncommon among firms this size | 3.9 | Full comparison |
| Growexx | Startups wanting fast-growing engineering capacity with AI. | Younger, fast-scaling team actively expanding a dedicated AI division | 3.9 | Full comparison |
| TechAhead | Mobile app teams wanting AI added without switching... | US and India dual headquarters with 22% year-over-year headcount growth reported | 3.9 | Full comparison |
| Intuz | IoT-heavy products needing AI layered on top of... | AI paired specifically with IoT delivery experience, not offered separately | 3.9 | Full comparison |
| HYS Enterprise | EU clients wanting Netherlands-based contracting with Poland delivery. | Amsterdam legal entity with an Eastern European delivery hub for EU-based contracting | 3.9 | Full comparison |
| Iflexion | Enterprises wanting AI from a long-established custom software... | Over 25 years of custom software delivery history predating most AI-focused competitors | 3.9 | Full comparison |
| Infosys | Global enterprises needing AI inside a full IT... | One of the world's largest IT services firms with a dedicated London-based consulting arm | 3.9 | Full comparison |
| Coherent Solutions | Enterprises wanting broad global delivery footprint flexibility. | Nine-country offshore delivery network built over three decades | 3.9 | Full comparison |
DataArt FAQ
What is DataArt?
New York software engineering firm founded in 1997
How much does DataArt charge?
DataArt uses dedicated team or retainer pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does DataArt use?
DataArt works with Python, AWS, Azure, Kubernetes, Apache Spark. Primary industries served include Financial services, Healthcare, Media & entertainment, Travel & hospitality.
Is DataArt right for enterprise?
Enterprises in finance or healthcare needing AI at global scale. 5,700+ team size. Key consideration: AI sits inside a much broader software engineering practice rather than being the firm's core identity.
What are the best DataArt alternatives?
The best alternatives to DataArt depend on your use case. Top options are:
- Tensorway: full ip transfer plus gdpr/hipaa/iso-certified delivery on every engagement
- BlueLabel: decade of product-design discipline applied to llm and agent engineering
- Markovate: ten years of ai-only positioning predating the current generative ai wave
Compare DataArt with other AI Development companies
DataArt vs Tensorway DataArt vs BlueLabel DataArt vs Markovate DataArt vs DataRoot Labs DataArt vs ITRex Group DataArt vs Valiance Solutions DataArt vs BotsCrew DataArt vs EPAM Systems DataArt vs Grid Dynamics DataArt vs LeewayHertz DataArt vs InData Labs DataArt vs Master of Code Global DataArt vs Softermii DataArt vs SoftKraft DataArt vs N-iX DataArt vs Innowise Group DataArt vs 10Clouds DataArt vs Cleveroad DataArt vs Accenture DataArt vs AtliQ Technologies DataArt vs Simform DataArt vs 10Pearls DataArt vs Intellectsoft DataArt vs Debut Infotech DataArt vs eSparkBiz DataArt vs Growexx DataArt vs TechAhead DataArt vs Intuz DataArt vs HYS Enterprise DataArt vs Iflexion DataArt vs Infosys DataArt vs Coherent Solutions
Verify all details directly with DataArt before making a decision.