DataArt
New York engineering consultancy with a long data and AI platform record
Founded 1997 | New York, New York, USA | 5,000+ employees
data-engineeringml-engineersdedicated-teamseastern-europe-talent
What is DataArt?
DataArt was founded in New York in 1997 by Eugene Goland, who still leads it. Reported headcount ranges from about 4,000 to more than 6,000 across 30 to 40 locations. The firm builds data, analytics and AI platforms and works heavily in finance, healthcare and travel. Clients can bring in DataArt engineers as part of their own team or contract a full delivery team.
DataArt works primarily with clients in Financial services, Healthcare & life sciences, Travel, Media sectors. Its primary differentiator is: Nearly three decades of domain work in finance, healthcare and travel.
DataArt tech stack and services
PythonSparkDatabricksSnowflakeAWSAzureTensorFlow
| Service area |
|---|
| Data Engineering |
| ML Engineers |
| Dedicated Teams |
| Eastern Europe Talent |
DataArt pricing
Short answer: DataArt uses a time and materials; dedicated teams; rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Full-time dedicated engineers | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Managed delivery | 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 |
|---|---|
| +Deep domain knowledge in regulated sectors | -AI specialists are a small share of a broad workforce |
| +Strong data-platform engineering supports AI work | -Headcount figures vary considerably between sources |
| +Long client relationships suggest stable delivery | -Engagements often lean toward managed delivery |
DataArt vs alternatives
How DataArt compares to the other top AI Staff Augmentation companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| EPAM Systems | Large enterprises, regulated industries, multi-team AI programs. | Thousands of certified GenAI engineers inside a publicly listed firm with enterprise security and procurement processes | 4.6 | Full comparison |
| Turing | Fast access to LLM and ML specialists from... | An AI-first network whose engineers also do model training and evaluation work for frontier labs | 4.5 | Full comparison |
| Tensorway | Product teams adding senior AI specialists without vendor... | Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories | 4.4 | Full comparison |
| BairesDev | U.S. companies needing several AI engineers on matching... | A large salaried Latin American bench that works U.S. time zones | 4.3 | Full comparison |
| deepsense.ai | Research-heavy ML problems, computer vision, edge AI. | A pure applied-AI firm whose augmented engineers come from a research-grade data-science bench | 4.3 | Full comparison |
| N-iX | Data-heavy AI work needing a large European team. | Data engineering and ML from a 2,000-person European employer with two decades of delivery history | 4.2 | Full comparison |
| Andela | Enterprises building blended global teams with AI skills. | A marketplace that certifies engineers on AI skills before placement | 4.2 | Full comparison |
| Toptal | Short engagements with one senior AI specialist. | A heavily screened freelance pool that can supply one senior expert quickly | 4.2 | Full comparison |
| Globant | Enterprises wanting AI capacity on a subscription model. | Subscription-based AI Pods as an alternative to per-engineer billing | 4.1 | Full comparison |
| Azumo | Nearshore LLM and NLP builds for U.S. mid-market. | A nearshore team that also builds its own NLP products | 4.1 | Full comparison |
| InData Labs | Mid-sized companies adding data scientists to product teams. | A data-science-only firm small enough that senior staff stay involved | 4.1 | Full comparison |
| Innowise | Companies needing AI engineers plus surrounding app developers. | A large in-house bench that can staff AI and conventional engineering roles together | 4.1 | Full comparison |
| Uvik Software | Python-heavy AI teams wanting transparent pricing. | Published rate band, minimum term and replacement guarantee | 4.0 | Full comparison |
| Encora | U.S. firms wanting nearshore AI teams from a... | Large Mexican and Latin American delivery base with an AI engineering practice | 4.0 | Full comparison |
| Wizeline | U.S. companies wanting Mexico-based AI engineers. | A Guadalajara delivery base close to U.S. clients in time and travel | 4.0 | Full comparison |
| Intellias | Automotive and location-tech teams adding ML engineers. | Domain depth in automotive and mapping software | 4.0 | Full comparison |
| Kanerika | Microsoft Fabric and Databricks shops needing AI-ready data. | Platform specialists for Fabric, Databricks and Snowflake | 3.9 | Full comparison |
| Nearsure | U.S. teams adding Latin American GenAI developers. | Augmentation-first business model with a growing AI studio | 3.9 | Full comparison |
| nCube | Companies building a long-term offshore AI team. | Builds and runs a client-branded R&D team, including HR and office setup | 3.9 | Full comparison |
| Svitla Systems | Long-running team extension with mixed AI and app... | Two decades of team-extension relationships with U.S. clients | 3.9 | Full comparison |
| STX Next | Python codebases adding LLM and data engineers. | Python specialization applied to data and AI delivery | 3.9 | Full comparison |
| Howdy.com | U.S. startups hiring full-time Latin American AI engineers. | Full-time, single-client placements with employment handled by Howdy | 3.9 | Full comparison |
| Revelo | Hiring Latin American developers through a marketplace. | A very large Latin American pool with payroll and compliance included | 3.8 | Full comparison |
| BEON.tech | U.S. teams wanting Argentina-based data and ML engineers. | Nearshore recruitment focused on AI and data science roles | 3.8 | Full comparison |
| Xenoss | AdTech and MarTech firms needing real-time data plus... | Real-time, high-load data engineering from AdTech roots | 3.8 | Full comparison |
| Simform | Cloud-first companies adding AI and data engineers. | Cloud and data engineering paired with AI/ML from an India-based bench | 3.8 | Full comparison |
| Vention | Venture-backed startups scaling product and AI engineers. | Long record of extending startup engineering teams | 3.8 | Full comparison |
| ScienceSoft | Regulated companies wanting a documented hiring process. | Publishes its staff augmentation timeline and process | 3.7 | Full comparison |
| Mobilunity | Budget-conscious teams hiring one dedicated developer. | Lowest published rate band among the companies reviewed | 3.7 | Full comparison |
| Neoteric | Small GenAI pilots with a low entry cost. | Low $10,000 minimum for AI discovery and proof-of-concept work | 3.7 | Full comparison |
| LeewayHertz | Hackett Group clients adding GenAI developers. | GenAI app development backed by a public consulting parent | 3.6 | Full comparison |
DataArt FAQ
What is DataArt?
New York engineering consultancy with a long data and AI platform record
How much does DataArt charge?
DataArt uses time and materials; dedicated teams; rates on request 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, Spark, Databricks, Snowflake, AWS, Azure, TensorFlow. Primary industries served include Financial services, Healthcare & life sciences, Travel, Media.
Is DataArt right for enterprise?
Finance and healthcare firms extending data and AI teams. 5,000+ team size. Key consideration: AI specialists are a small share of a broad workforce.
What are the best DataArt alternatives?
The best alternatives to DataArt depend on your use case. Top options are:
- EPAM Systems: thousands of certified genai engineers inside a publicly listed firm with enterprise security and procurement processes
- Turing: an ai-first network whose engineers also do model training and evaluation work for frontier labs
- Tensorway: senior ai engineers run the technical screening, and every model and line of code stays in the client's repositories
Compare DataArt with other AI Staff Augmentation companies
DataArt vs EPAM Systems DataArt vs Turing DataArt vs Tensorway DataArt vs BairesDev DataArt vs deepsense.ai DataArt vs N-iX DataArt vs Andela DataArt vs Toptal DataArt vs Globant DataArt vs Azumo DataArt vs InData Labs DataArt vs Innowise DataArt vs Uvik Software DataArt vs Encora DataArt vs Wizeline DataArt vs Intellias DataArt vs Kanerika DataArt vs Nearsure DataArt vs nCube DataArt vs Svitla Systems DataArt vs STX Next DataArt vs Howdy.com DataArt vs Revelo DataArt vs BEON.tech DataArt vs Xenoss DataArt vs Simform DataArt vs Vention DataArt vs ScienceSoft DataArt vs Mobilunity DataArt vs Neoteric DataArt vs LeewayHertz
Verify all details directly with DataArt before making a decision.