DataArt
Global 5,000-person technology consultancy with deep ML capability in capital markets, media, and healthcare.
Founded 1997 | New York, NY, USA | 5,000+ employees | Last updated: July 2026
custom-mldata-engineeringai-strategynlpcomputer-visionpredictive-analytics
What is DataArt?
DataArt is a global technology consultancy founded in 1997, headquartered in New York, with over 5,000 engineers across 30+ offices worldwide. Its ML practice specialises in building custom machine learning systems that integrate into broader software platforms, with particular strength in capital markets (time series forecasting, trading analytics), media (content recommendation, NLP), healthcare (clinical analytics, EHR integration), and travel and hospitality. DataArt emphasises system stability, long-term maintainability, and performance — qualities that reflect its origins as a software engineering firm rather than a data science startup, producing ML systems designed to remain operational and auditable over multi-year production lifespans.
DataArt was founded in 1997 and is headquartered in New York, NY, USA. The firm employs 5,000+ people and works primarily with clients in Financial Services, Media / Entertainment, Healthcare, Hospitality / Travel, Technology / SaaS sectors. Its primary differentiator is: Software-engineering-first culture produces ML systems designed for 5-10 year production lifespans — maintainability and stability over speed-to-market.
DataArt tech stack and services
PythonTensorFlowPyTorchAWSAzureGCPJava.NETKubernetesSpark
| Service area | Details |
|---|---|
| Time series forecasting and trading analytics ML for capital markets and asset management firms | Available for Financial Services, Media / Entertainment, Healthcare, Hospitality / Travel, Technology / SaaS clients |
| Content recommendation systems embedded in media and streaming platforms | Available for Financial Services, Media / Entertainment, Healthcare, Hospitality / Travel, Technology / SaaS clients |
| Clinical analytics and EHR data ML for healthcare payers and providers | Available for Financial Services, Media / Entertainment, Healthcare, Hospitality / Travel, Technology / SaaS clients |
| NLP document analysis and classification for legal, compliance, and financial reporting workflows | Available for Financial Services, Media / Entertainment, Healthcare, Hospitality / Travel, Technology / SaaS clients |
| ML integration into complex multi-system enterprise architectures with long-term maintenance contracts | Available for Financial Services, Media / Entertainment, Healthcare, Hospitality / Travel, Technology / SaaS clients |
DataArt use cases
Short answer: DataArt is best suited for financial services, media, and healthcare enterprises needing ML embedded in complex software systems with long-term maintainability as a priority.
| Use case | Industries | Approach |
|---|---|---|
| Time series forecasting and trading analytics ML for capital markets and asset management firms | Financial Services, Media / Entertainment | Python, TensorFlow |
| Content recommendation systems embedded in media and streaming platforms | Financial Services, Media / Entertainment | Python, TensorFlow |
| Clinical analytics and EHR data ML for healthcare payers and providers | Financial Services, Media / Entertainment | Python, TensorFlow |
| NLP document analysis and classification for legal, compliance, and financial reporting workflows | Financial Services, Media / Entertainment | Python, TensorFlow |
| ML integration into complex multi-system enterprise architectures with long-term maintenance contracts | Financial Services, Media / Entertainment | Python, TensorFlow |
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 |
|---|---|
| +25+ years of operation and 5,000+ engineers provide exceptional vendor stability for long-duration enterprise programmes | -ML is one practice within a very broad 5,000-person portfolio — specialist AI research depth is thinner than dedicated ML firms |
| +Software engineering DNA produces ML systems built for long-term production operation rather than quick demos | -Engineering-first approach can feel slower than ML-native boutiques for clients needing rapid iteration or experimentation |
| +Capital markets ML depth (time series, trading analytics, risk modelling) is among the strongest in this review | -Less prominent in marketing or commercial AI use cases compared to analytics-native competitors |
| +Media and healthcare ML secondary strengths add versatility for conglomerates spanning multiple verticals | |
| +Well-established offshore-onshore delivery model provides competitive blended rates with senior onshore oversight |
DataArt vs alternatives
How DataArt compares to the other top Machine Learning agencies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tiger Analytics | Fortune 1000 enterprises needing production-grade ML across CPG,... | The largest pure-play ML and advanced analytics specialist with 5,000+ dedicated practitioners across six countries | 4.8 | Full comparison |
| Forte Group | Mid-market and enterprise teams that need ML treated... | Architecture-first ML delivery with AI embedded at every layer of the software stack, not added as an afterthought | 4.6 | Full comparison |
| Tensorway | Mid-market teams needing senior deep learning expertise in... | Boutique deep learning specialist with direct senior engineer access and AWS Premier Partner status, backed by Anadea's 25-year delivery track record | 4.5 | Full comparison |
| Fractal Analytics | Fortune 500 enterprises in CPG, financial services, or... | Deep Fortune 500 CPG and financial services track record with 5,000+ practitioners and a newly public balance sheet for long-term contracts | 4.4 | Full comparison |
| Quantiphi | Enterprises needing production ML on AWS with strong... | AWS Premier ML Consulting Partner with proprietary NeuralOps framework that accelerates time from training to production deployment | 4.3 | Full comparison |
| Sigmoid | Enterprises in CPG, retail, and BFSI that need... | Sequoia-backed firm combining data engineering and ML under one delivery team — eliminates the handoff friction that slows model deployment | 4.3 | Full comparison |
| DataForest | Growth-stage startups and mid-market teams needing production ML... | Clutch 5.0 / 27 reviews with project minimum from $8K — highest verified quality-to-price ratio at the accessible end of the market | 4.2 | Full comparison |
| InData Labs | E-commerce, healthcare, and fintech teams needing NLP, computer... | Top-10 Clutch-ranked cognitive computing and NLP specialist with competitive rates relative to Western boutiques of comparable review depth | 4.2 | Full comparison |
| RTS Labs | Mid-sized businesses in financial services or healthcare making... | Named top US ML consultant for mid-market businesses in 2026 — focused entry point with accessible minimums and healthcare/fintech domain depth | 4.2 | Full comparison |
| Grid Dynamics | Fortune 1000 enterprises in retail, CPG, or media... | Among the strongest retail and e-commerce AI practices globally, with verifiable ROI metrics from PayPal, eBay, and major US retailers | 4.1 | Full comparison |
| N-iX | Enterprises in manufacturing, industrial IoT, or retail needing... | Named enterprise clients (Bosch, Siemens, eBay) across manufacturing and retail with 2,400+ engineers spanning software, embedded systems, and cloud ML | 4.1 | Full comparison |
| LeewayHertz | E-commerce, logistics, and financial services teams needing AI... | Forbes top-10 AI firm acquired by The Hackett Group — combining engineering delivery with enterprise AI strategic advisory capability | 4.1 | Full comparison |
| LatentView Analytics | Fortune 500 technology, CPG, and financial services firms... | Publicly listed analytics firm with 50+ Fortune 500 clients and deep CPG/tech marketing analytics capability including marketing mix modelling | 4.1 | Full comparison |
| Thoughtworks | Enterprises prioritising ML engineering rigour, responsible AI governance,... | AI-first consultancy with a structured engineering discipline — TDD, continuous deployment, and responsible AI built into ML delivery rather than grafted on afterwards | 4.0 | Full comparison |
| ScienceSoft | Manufacturing, healthcare, and oil & gas enterprises needing... | 35+ years of operation with ISO 9001 and ISO 27001 certifications — provides compliance-mandated vendor stability rare in the ML agency market | 4.0 | Full comparison |
| Oxagile | Media, healthcare, and manufacturing enterprises needing production computer... | 20-year heritage in video technology and media AI translates directly into best-in-class computer vision delivery for media, broadcast, and content platforms | 4.0 | Full comparison |
| Innowise | European enterprises in healthcare, financial services, or logistics... | ISO-certified ML delivery with 1,600+ engineers and GDPR-by-design data processing — strong fit for EU-regulated enterprise buyers | 4.0 | Full comparison |
| Miquido | Product companies in streaming, fintech, or healthtech needing... | Rare combination of ML, product design, and mobile engineering under one studio — ideal for building AI-powered consumer applications without managing multiple vendors | 4.0 | Full comparison |
| Itransition | Large enterprises seeking a stable 25-year vendor with... | Long-established 25-year vendor with 3,000+ engineers providing low-risk ML delivery for enterprises that value breadth and vendor stability over specialisation | 4.0 | Full comparison |
| Algoscale | Growth-stage and mid-market enterprises that need ML and... | Data-engineering-first ML delivery prevents the common failure where ML models are built on unreliable pipelines — end-to-end ownership from raw data to deployed model | 4.0 | Full comparison |
| Acropolium | European mid-market businesses in hospitality, logistics, or healthcare... | Munich-based EU-native ML boutique with specific delivery depth in hospitality, logistics, and healthcare — valuable for German-speaking and EU-regulated enterprises | 3.9 | Full comparison |
| Addepto | Manufacturing, logistics, and retail SMEs needing a focused... | Focused vertical expertise in manufacturing predictive maintenance and retail AI at boutique scale — avoids the generalist overhead of larger firms for targeted use cases | 3.9 | Full comparison |
| BairesDev | US enterprises needing high-volume ML engineering hours with... | Latin American delivery provides full US timezone overlap and real-time collaboration at rates 30–50% below comparable US-onshore ML engineers | 3.9 | Full comparison |
| Intellias | Automotive, financial services, and retail enterprises needing ML... | Strongest automotive ML capability in this review — ADAS, connected vehicle data, and in-car AI built for a segment most ML agencies cannot credibly claim | 3.9 | Full comparison |
| EPAM Systems | Large enterprises needing scale, global delivery coverage, and... | Global scale with 58,000+ engineers and top-3 Glassdoor AI company ranking — rare ML delivery capacity for simultaneous large enterprise programmes | 3.9 | Full comparison |
| DataRobot | Enterprises wanting rapid ML deployment via an enterprise... | Category-defining AutoML platform with $285M ARR — accelerates time-to-production ML without requiring a dedicated data science team | 3.9 | Full comparison |
| Binariks | Healthcare, SaaS, and fintech product teams needing accessible... | Accessible $15K minimum with healthcare and fintech domain ML experience — lower entry cost than larger European peers without sacrificing engineering quality | 3.8 | Full comparison |
| Softeq | Manufacturers, robotics companies, and IoT product builders needing... | Unique full-stack hardware-to-cloud capability — ML embedded into firmware and device systems without requiring a separate hardware engineering partner | 3.8 | Full comparison |
| Ekimetrics | CPG, retail, and media brands needing marketing mix... | Econometric and causal ML focus delivers explainable business-driver insights rather than black-box predictions — strongest for marketing analytics and brand measurement | 3.8 | Full comparison |
| BCG X | C-suite-sponsored AI transformation programmes where strategic consulting and... | BCG strategy consulting credibility combined with 3,000+ engineering practitioners — closes the strategy-to-build gap that typically requires two separate partners | 3.8 | Full comparison |
| Accenture AI | Global Fortune 500 enterprises needing enterprise-wide AI transformation... | 53,000+ dedicated AI practitioners — the only partner that can run simultaneous large-scale ML programmes across multiple continents without staffing constraints | 3.8 | Full comparison |
| Wipro AI | Large enterprises already in Wipro's managed services or... | Enterprise IT governance DNA applied to ML — model versioning, release governance, and audit trails built for highly regulated enterprise environments | 3.7 | Full comparison |
| Deloitte AI | Large enterprises needing AI delivery combined with regulatory... | Only Big Four firm with an AI Studio network and the ability to combine AI technical delivery with tax, audit, and regulatory advisory under one professional services relationship | 3.7 | Full comparison |
| IBM Consulting AI | Large enterprises with IBM infrastructure or WatsonX commitments... | WatsonX enterprise AI platform combined with IBM's 100+ year track record in regulated enterprise environments — strongest for clients already in the IBM ecosystem | 3.6 | Full comparison |
| Iguazio | Enterprises with existing ML models that need production-grade... | MLOps platform specialist with real-time AI serving and multi-cloud/edge deployment — best for operationalising models rather than building them | 3.5 | Full comparison |
DataArt FAQ
What is DataArt?
DataArt is a global technology consultancy founded in 1997, headquartered in New York, with over 5,000 engineers across 30+ offices worldwide. Its ML practice specialises in building custom machine learning systems that integrate into broader software platforms, with particular strength in capital markets (time series forecasting, trading analytics), media (content recommendation, NLP), healthcare (clinical analytics, EHR integration), and travel and hospitality. DataArt emphasises system stability, long-term maintainability, and performance — qualities that reflect its origins as a software engineering firm rather than a data science startup, producing ML systems designed to remain operational and auditable over multi-year production lifespans.
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, TensorFlow, PyTorch, AWS, Azure, GCP, Java, .NET, Kubernetes, Spark. Primary industries served include Financial Services, Media / Entertainment, Healthcare, Hospitality / Travel, Technology / SaaS.
Is DataArt right for enterprise?
Financial services, media, and healthcare enterprises needing ML embedded in complex software systems with long-term maintainability as a priority. 5,000+ team size. Key consideration: ML is one practice within a very broad 5,000-person portfolio — specialist AI research depth is thinner than dedicated ML firms.
What are the best DataArt alternatives?
The best alternatives to DataArt depend on your use case. Top options are:
- Tiger Analytics: the largest pure-play ml and advanced analytics specialist with 5,000+ dedicated practitioners across six countries
- Forte Group: architecture-first ml delivery with ai embedded at every layer of the software stack, not added as an afterthought
- Tensorway: boutique deep learning specialist with direct senior engineer access and aws premier partner status, backed by anadea's 25-year delivery track record
Compare DataArt with other Machine Learning agencies
DataArt vs Tiger Analytics DataArt vs Forte Group DataArt vs Tensorway DataArt vs Fractal Analytics DataArt vs Quantiphi DataArt vs Sigmoid DataArt vs DataForest DataArt vs InData Labs DataArt vs RTS Labs DataArt vs Grid Dynamics DataArt vs N-iX DataArt vs LeewayHertz DataArt vs LatentView Analytics DataArt vs Thoughtworks DataArt vs ScienceSoft DataArt vs Oxagile DataArt vs Innowise DataArt vs Miquido DataArt vs Itransition DataArt vs Algoscale DataArt vs Acropolium DataArt vs Addepto DataArt vs BairesDev DataArt vs Intellias DataArt vs EPAM Systems DataArt vs DataRobot DataArt vs Binariks DataArt vs Softeq DataArt vs Ekimetrics DataArt vs BCG X DataArt vs Accenture AI DataArt vs Wipro AI DataArt vs Deloitte AI DataArt vs IBM Consulting AI DataArt vs Iguazio
Last reviewed: July 2026. Verify all details directly with DataArt before making a decision.