DataArt
A 1997-founded global engineering firm with 6,000+ specialists across 20+ countries and ML in NLP, predictive analytics, and computer vision.
Founded 1997 | New York, NY, USA | 6,000+ employees | Last updated: July 2026
custom-mlnlpcomputer-visionpredictive-analyticsdata-engineering
What is DataArt?
DataArt is a global engineering firm founded in 1997 and headquartered in New York, New York, with 6,000+ specialists across 20+ countries. The firm's AI and ML services deliver solutions in predictive analytics, natural language processing, data mining, and computer vision, integrated within product engineering and digital transformation delivery. DataArt serves financial services, healthcare, media, travel, and technology clients. The firm operates with a flat structure emphasising direct engineer-to-client interaction over multi-layer account management.
DataArt was founded in 1997 and is headquartered in New York, NY, USA. The firm employs 6,000+ people and works primarily with clients in Fintech, Healthcare, SaaS, Logistics, E-commerce sectors. Its primary differentiator is: 29-year global engineering firm with 6,000+ specialists and a flat structure providing direct access to senior ML engineers on client projects.
DataArt tech stack and services
PythonScikit-learnTensorFlowPyTorchOpenCVAWSGCPAzureApache SparkNLP
| Service area | Details |
|---|---|
| NLP-powered document analysis for financial services compliance and reporting | Available for Fintech, Healthcare, SaaS, Logistics, E-commerce clients |
| Predictive analytics for healthcare patient risk stratification and monitoring | Available for Fintech, Healthcare, SaaS, Logistics, E-commerce clients |
| Computer vision for media content classification and automated tagging | Available for Fintech, Healthcare, SaaS, Logistics, E-commerce clients |
| Data mining for travel industry demand forecasting and pricing models | Available for Fintech, Healthcare, SaaS, Logistics, E-commerce clients |
| ML recommendation engines for technology products and digital platforms | Available for Fintech, Healthcare, SaaS, Logistics, E-commerce clients |
DataArt use cases
Short answer: DataArt is best suited for mid-market and enterprise companies in finance, healthcare, or media needing a large engineering firm with ML integrated into product delivery.
| Use case | Industries | Approach |
|---|---|---|
| NLP-powered document analysis for financial services compliance and reporting | Fintech, Healthcare | Python, Scikit-learn |
| Predictive analytics for healthcare patient risk stratification and monitoring | Fintech, Healthcare | Python, Scikit-learn |
| Computer vision for media content classification and automated tagging | Fintech, Healthcare | Python, Scikit-learn |
| Data mining for travel industry demand forecasting and pricing models | Fintech, Healthcare | Python, Scikit-learn |
| ML recommendation engines for technology products and digital platforms | Fintech, Healthcare | Python, Scikit-learn |
DataArt pricing
Short answer: DataArt uses a t&m, dedicated team pricing approach. Minimum engagement starts at $50K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | 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 |
|---|---|
| +29-year engineering track record across financial services, healthcare, and media | -ML sits within a broad engineering firm — not a specialist ML company |
| +6,000+ specialists provide large programme delivery capacity across 20+ countries | -T&M and dedicated team models less suited to clients seeking fixed-price delivery |
| +Flat organisational structure provides direct senior ML engineer access on projects | -Less emphasis on cutting-edge generative AI research than newer AI-first firms |
| +Multi-country delivery network for global client timezone and language coverage | |
| +Strong NLP and predictive analytics capability within product engineering context |
DataArt vs alternatives
How DataArt compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| InData Labs | Mid-market companies needing custom production-grade ML systems with... | Pure-play data science boutique with 4.9/5 Clutch rating across 18 independent reviews and documented post-launch iteration model | 4.8 | Full comparison |
| Tensorway | Mid-market and enterprise clients needing production-grade computer vision... | Deep learning specialist backed by Anadea's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics | 4.6 | Full comparison |
| Simform | AWS-first companies needing production ML systems with cloud-native... | AWS Premier Partner with 200+ ML engineers and 4.8/5 Clutch rating across 82 verified reviews — one of the most independently validated firms in this niche | 4.5 | Full comparison |
| Blackthorn Vision | Mid-market companies in healthcare, fintech, or industrial automation... | Published case studies across healthcare and fintech ML with a documented data science lifecycle and accessible $20K minimum engagement | 4.4 | Full comparison |
| Codiste | Startups and mid-market companies needing full ML lifecycle... | AI-first engineering firm with explicit MLOps focus and generative AI capability alongside classical ML model development | 4.3 | Full comparison |
| DataRoot Labs | European and Israeli companies needing a structured ML... | Structured AI R&D methodology with formal experiment cycles serving European and Israeli mid-market clients | 4.2 | Full comparison |
| *instinctools | German and US companies needing a long-track-record technology... | 25-year delivery heritage with self-managed dedicated ML teams and co-headquarters in Stuttgart, Germany and Potomac, Maryland | 4.2 | Full comparison |
| Neoteric | European companies needing a mid-size AI engineering team... | Wrocław-based AI firm with documented approximately 90% positive Clutch reviews and full-service software plus ML delivery at $50–99/hr | 4.1 | Full comparison |
| MobiDev | Companies needing ML development integrated with mobile or... | US/UK-managed ML engineering firm with 400+ engineers and documented deep learning, NLP, and GPT integration across product development | 4.1 | Full comparison |
| Leobit | US-based tech startups and scale-ups needing combined ML... | Full-stack AI engineering firm with strong generative AI and corporate LLM deployment capability alongside standard ML development | 4.0 | Full comparison |
| STX Next | Python-first companies needing ML capability embedded within software... | Europe's largest Python engineering firm with 700+ engineers, making ML a natural extension of existing Python product development | 4.0 | Full comparison |
| LeewayHertz | US enterprise and mid-market companies needing a full-service... | San Francisco-based AI firm with strong LLM integration and generative AI advisory capability alongside standard ML development | 3.9 | Full comparison |
| ScienceSoft | Manufacturing, healthcare, and oil & gas companies needing... | 35-year IT firm with Microsoft Gold and AWS partner certifications and documented vertical depth in manufacturing, healthcare, and oil & gas ML | 3.9 | Full comparison |
| Fractal Analytics | Fortune 500 companies in consumer packaged goods, retail,... | 25-year enterprise AI firm with documented Fortune 500 programmes in CPG, retail, and insurance analytics across 4,000+ professionals | 3.9 | Full comparison |
| Acropolium | Hospitality, healthcare, and logistics companies needing affordable custom... | Estonia-registered Eastern European ML firm with hospitality and logistics ML specialisation and accessible $15K minimum engagement | 3.8 | Full comparison |
| Scopic | Companies needing senior ML engineers at competitive rates... | 20-year distributed firm with 1,000+ remote engineers and published ML case studies in healthcare, manufacturing, and financial risk | 3.8 | Full comparison |
| Iflexion | Enterprises needing a consulting-first ML partner to design... | 25-year enterprise IT firm with a consulting-led ML practice that evaluates feasibility and designs data strategy before implementation begins | 3.8 | Full comparison |
| N-iX | Enterprises with complex data infrastructure needing MLOps expertise... | Named Fortune 500 MLOps deployments at Bosch, Gogo, and Fluke with 2,000+ engineers and a data-infrastructure-first ML approach | 3.9 | Full comparison |
| Intellias | Product companies and enterprises needing ML integrated into... | Product-engineering-first approach to ML with a dedicated MLOps practice and documented automotive and fintech AI delivery experience | 3.8 | Full comparison |
| Oxagile | Media, sports, and AdTech companies needing AI and... | 20-year video technology specialist with strong computer vision and video analytics ML capability for media, sports, and AdTech clients | 3.8 | Full comparison |
| Innowise | Banks, healthcare operators, and agricultural businesses needing ML... | 1,200-engineer Eastern European firm with documented banking, healthcare, and agriculture ML delivery from Poland and UAE offices | 3.8 | Full comparison |
| Appinventiv | Enterprise and mid-market companies needing ML features integrated... | 200+ dedicated ML experts within a 1,600+ person firm delivering ML at scale within mobile and enterprise product development | 3.7 | Full comparison |
| Devox Software | EU, UK, and US clients needing cost-efficient Python... | High client retention rate (82% long-term partnerships) with Python-native ML focus for finance and retail use cases | 3.7 | Full comparison |
| Intuz | US-based companies needing a San Francisco-headquartered AI partner... | San Francisco-headquartered AI firm founded in 2008 with ML and AI agent development alongside standard ML model development | 3.7 | Full comparison |
| Softeq | Enterprise companies with hardware, IoT, or embedded systems... | Houston-based enterprise firm with unique strength in ML for IoT and hardware-connected AI applications alongside Microsoft and AWS partnerships | 3.7 | Full comparison |
| Itransition | Enterprise organisations needing ML consulting and implementation integrated... | 25-year global firm with 3,000+ engineers across 40+ countries offering ML consulting within enterprise technology programmes | 3.7 | Full comparison |
| ELEKS | Enterprise and Fortune 500 companies needing a long-established... | 35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients | 3.6 | Full comparison |
| Avenga | Global corporations needing a large-scale European technology partner... | 6,000-person global consultancy with AWS Advanced Partnership and 20+ certified cloud ML deployments across 16 countries and 44 delivery locations | 3.6 | Full comparison |
| Ciklum | Global enterprises seeking AI features embedded in large-scale... | 4,000-person Experience Engineering firm with 250+ enterprise clients and generative AI delivery integrated into large product programmes | 3.6 | Full comparison |
| Sigmoidal | Financial services and healthcare companies with internal ML... | Specialist ML staff augmentation firm placing expert data scientists and ML engineers into client teams with financial services industry focus | 3.6 | Full comparison |
| Codiant | Startups and mid-market companies on five continents needing... | Yash Technologies subsidiary with ISO 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients | 3.6 | Full comparison |
| GlobalLogic | Fortune 500 enterprises needing large-scale MLOps implementation within... | Hitachi-owned 30,000-person product engineering firm with MLOps and AI-Powered SDLC for Fortune 500 clients and industrial AI access via Hitachi ecosystem | 3.5 | Full comparison |
| BairesDev | US-based companies needing culturally aligned nearshore ML engineers... | Latin America nearshore ML specialist with 4,000+ engineers and US timezone alignment for flexible staff augmentation and project delivery | 3.5 | Full comparison |
| DataRobot | Enterprises wanting to reduce ML engineering bottlenecks with... | Enterprise AutoML platform that automates model building and deployment — a software product with professional services, not a custom development services firm | 3.5 | Full comparison |
| EPAM Systems | Large enterprises needing ML within large-scale platform engineering... | Publicly traded 62,000-person firm with proprietary EPAM DIAL AI orchestration platform and AI transformation engineering positioning for global enterprises | 3.5 | Full comparison |
| Accenture | Global enterprise and government organisations needing AI strategy,... | World's largest consulting firm with 700,000+ employees, government-scale AI governance capability, and a dedicated AI transformation practice | 3.5 | Full comparison |
| Cognizant | Global enterprises modernising legacy data systems and needing... | 330,000-person IT services firm combining ML engineering with legacy data modernisation for global enterprise digital transformation programmes | 3.5 | Full comparison |
DataArt FAQ
What is DataArt?
DataArt is a global engineering firm founded in 1997 and headquartered in New York, New York, with 6,000+ specialists across 20+ countries. The firm's AI and ML services deliver solutions in predictive analytics, natural language processing, data mining, and computer vision, integrated within product engineering and digital transformation delivery. DataArt serves financial services, healthcare, media, travel, and technology clients. The firm operates with a flat structure emphasising direct engineer-to-client interaction over multi-layer account management.
How much does DataArt charge?
DataArt uses t&m, dedicated team pricing. Minimum engagement starts at $50K. A discovery call is required to get project-specific quotes.
What tech stack does DataArt use?
DataArt works with Python, Scikit-learn, TensorFlow, PyTorch, OpenCV, AWS, GCP, Azure, Apache Spark, NLP. Primary industries served include Fintech, Healthcare, SaaS, Logistics, E-commerce.
Is DataArt right for enterprise?
Mid-market and enterprise companies in finance, healthcare, or media needing a large engineering firm with ML integrated into product delivery. 6,000+ team size. Key consideration: ML sits within a broad engineering firm — not a specialist ML company.
What are the best DataArt alternatives?
The best alternatives to DataArt depend on your use case. Top options are:
- InData Labs: pure-play data science boutique with 4.9/5 clutch rating across 18 independent reviews and documented post-launch iteration model
- Tensorway: deep learning specialist backed by anadea's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics
- Simform: aws premier partner with 200+ ml engineers and 4.8/5 clutch rating across 82 verified reviews — one of the most independently validated firms in this niche
Compare DataArt with other Machine Learning Development companies
DataArt vs InData Labs DataArt vs Tensorway DataArt vs Simform DataArt vs Blackthorn Vision DataArt vs Codiste DataArt vs DataRoot Labs DataArt vs *instinctools DataArt vs Neoteric DataArt vs MobiDev DataArt vs Leobit DataArt vs STX Next DataArt vs LeewayHertz DataArt vs ScienceSoft DataArt vs Fractal Analytics DataArt vs Acropolium DataArt vs Scopic DataArt vs Iflexion DataArt vs N-iX DataArt vs Intellias DataArt vs Oxagile DataArt vs Innowise DataArt vs Appinventiv DataArt vs Devox Software DataArt vs Intuz DataArt vs Softeq DataArt vs Itransition DataArt vs ELEKS DataArt vs Avenga DataArt vs Ciklum DataArt vs Sigmoidal DataArt vs Codiant DataArt vs GlobalLogic DataArt vs BairesDev DataArt vs DataRobot DataArt vs EPAM Systems DataArt vs Accenture DataArt vs Cognizant
Last reviewed: July 2026. Verify all details directly with DataArt before making a decision.