DataArt
A New York software engineering agency founded in 1997
Founded 1997 | New York, United States | 5,700+ employees
AI ConsultingEnterprise AIData EngineeringMLOps
What is DataArt?
DataArt goes back to 1997, founded by Eugene Goland, and is headquartered in New York City with roughly 5,700 employees spread across more than 30 locations. The firm delivers data, analytics, and AI advisory for finance, media and entertainment, healthcare, retail, and travel and hospitality clients. Nearly three decades of history give it a longer track record than almost every other agency here, though AI advisory is delivered as part of a broader software engineering practice.
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 |
|---|
| AI Consulting |
| Enterprise AI |
| 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 reviewed here. | -AI advisory sits inside a much broader software engineering practice rather than being the agency'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 advisory grounded in solid data foundations. |
DataArt vs alternatives
How DataArt compares to the other top AI Consulting agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| QuantumBlack, AI by McKinsey | Enterprises that need McKinsey-level credibility with real engineering... | Formula 1 data-science origin, now a 1,000-plus person AI agency inside McKinsey | 4.8 | Full comparison |
| BCG X | Enterprises wanting BCG strategy with an in-house build... | 3,000-plus in-house technologists who build the systems the agency recommends | 4.7 | Full comparison |
| Tensorway | Buyers who want one agency to own both... | A published 11-step methodology covering everything from data profiling to model validation | 4.6 | Full comparison |
| IBM Consulting | IBM-platform enterprises wanting an agency tied directly to... | A 160,000-person agency with direct ties to IBM's own watsonx AI platform | 4.3 | Full comparison |
| Cognizant | Large enterprises wanting AI advisory from an established... | A 349,800-person global IT services firm now explicitly repositioned around AI delivery | 4.2 | Full comparison |
| Capgemini Invent | European enterprises wanting AI strategy from a Paris-based... | A 17,000-plus person strategy and design agency backed by the wider Capgemini Group | 4.2 | Full comparison |
| Deloitte | Global enterprises wanting AI strategy from a Big... | The largest professional services network in the world, with a dedicated AI Institute | 4.2 | Full comparison |
| PwC | Enterprises wanting AI advisory bundled with broader Big... | A 370,000-person global network with AI advisory folded into its digital transformation practice | 4.1 | Full comparison |
| KPMG | Enterprises wanting named AI products alongside Big Four... | Named AI products, aIQ and Mystro, instead of purely bespoke advisory engagements | 4.1 | Full comparison |
| EPAM Systems | Enterprises wanting AI advisory paired directly with engineering... | An engineering-heavy advisory model that pairs strategists with the actual build team | 4.1 | Full comparison |
| Accenture | Global enterprises running AI advisory across many business... | 60,000-plus trained generative AI practitioners inside a global consulting organization | 4.0 | Full comparison |
| Infosys | Global enterprises needing AI advisory inside a full... | One of the world's largest IT services firms with a dedicated London-based advisory arm | 4.0 | Full comparison |
| Grid Dynamics | Enterprises wanting a publicly-audited AI advisory and delivery... | A Nasdaq listing (GDYN) with quarterly financial disclosure | 4.0 | Full comparison |
| Andersen | Enterprises wanting AI advisory paired with broad platform... | 3,500-plus specialists across 20 global offices with a named AI advisory practice | 4.0 | Full comparison |
| ITRex Group | Enterprises wanting AI strategy grounded in existing data... | Fifteen-plus years pairing AI advisory with the data engineering it actually depends on | 4.0 | Full comparison |
| Sigma Software Group | Nordic and EU enterprises wanting AI advisory from... | A Nordic (Swedish) legal entity, distinct from the Central and Eastern European base most peers use | 4.0 | Full comparison |
| Exadel | Enterprises wanting AI advisory as part of a... | Over 25 years of enterprise technology advisory history predating most AI-focused competitors | 4.0 | Full comparison |
| N-iX | Enterprises wanting AI readiness assessment paired with cloud... | 50-plus delivered AI projects with named enterprise clients like Bosch and Siemens | 4.0 | Full comparison |
| Innowise Group | Buyers wanting AI advisory with a direct path... | AI advisory as an entry point into full-cycle delivery under one 2,000-plus person agency | 4.0 | Full comparison |
| Coherent Solutions | Enterprises wanting AI advisory with a choice of... | A nine-country offshore delivery network built over three decades | 3.9 | Full comparison |
| Valiance Solutions | Government agencies needing explainable AI strategy. | Genuine government procurement experience, uncommon among AI advisory agencies | 3.9 | Full comparison |
| HYS Enterprise | EU clients wanting Netherlands-based AI advisory with Poland... | An Amsterdam legal entity with an Eastern European delivery hub for EU-based contracting | 3.9 | Full comparison |
| Belitsoft | Teams wanting AI advisory from an established staff... | Twenty years of outsourcing delivery with AI advisory added as a distinctly recent practice | 3.9 | Full comparison |
| DataRoot Labs | Startups needing applied AI research capacity. | A research-oriented engagement style built for startup speed, not enterprise procurement | 3.9 | Full comparison |
| InData Labs | Teams needing data science advisory before an AI... | A data-science-first heritage predating the generative AI branding wave | 3.9 | Full comparison |
| SoftKraft | Startups on tight budgets needing AI strategy advice. | A small dedicated team priced for startup budgets, not enterprise rates | 3.9 | Full comparison |
| Softermii | Teams needing AI advisory inside a broader product... | Full-stack product development capability layered with newer AI advisory service lines | 3.9 | Full comparison |
| Simform | Enterprises pairing AI advisory with a larger cloud... | 1,400-plus engineers spanning six continents inside one accountable agency | 3.9 | Full comparison |
| 10Pearls | Enterprises wanting AI advisory bundled with digital transformation. | Two decades of digital transformation delivery with AI advisory as an established add-on | 3.9 | Full comparison |
| Intellectsoft | Enterprises wanting AI advisory alongside blockchain or IoT... | Combines AI advisory with blockchain and IoT engineering under one roof | 3.8 | Full comparison |
| 10Clouds | Product teams wanting AI strategy folded into UX... | AI advisory treated as one integrated capability inside full product design | 3.8 | Full comparison |
DataArt FAQ
What is DataArt?
A New York software engineering agency 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 advisory at global scale. 5,700+ team size. Key consideration: AI advisory sits inside a much broader software engineering practice rather than being the agency's core identity.
What are the best DataArt alternatives?
The best alternatives to DataArt depend on your use case. Top options are:
- QuantumBlack, AI by McKinsey: formula 1 data-science origin, now a 1,000-plus person ai agency inside mckinsey
- BCG X: 3,000-plus in-house technologists who build the systems the agency recommends
- Tensorway: a published 11-step methodology covering everything from data profiling to model validation
Compare DataArt with other AI Consulting agencies
DataArt vs QuantumBlack, AI by McKinsey DataArt vs BCG X DataArt vs Tensorway DataArt vs IBM Consulting DataArt vs Cognizant DataArt vs Capgemini Invent DataArt vs Deloitte DataArt vs PwC DataArt vs KPMG DataArt vs EPAM Systems DataArt vs Accenture DataArt vs Infosys DataArt vs Grid Dynamics DataArt vs Andersen DataArt vs ITRex Group DataArt vs Sigma Software Group DataArt vs Exadel DataArt vs N-iX DataArt vs Innowise Group DataArt vs Coherent Solutions DataArt vs Valiance Solutions DataArt vs HYS Enterprise DataArt vs Belitsoft DataArt vs DataRoot Labs DataArt vs InData Labs DataArt vs SoftKraft DataArt vs Softermii DataArt vs Simform DataArt vs 10Pearls DataArt vs Intellectsoft DataArt vs 10Clouds
Verify all details directly with DataArt before making a decision.