Best ML Development Services

DataArt

New York-founded engineering firm delivering AI platforms via its Artisyn AI-enabled operating model.

Founded 1997 | New York, New York, United States | 6,000+ employees | Last updated: July 2026
data-engineeringcustom-ml-modelsgenerative-aiai-consulting

What is DataArt?

DataArt was founded in 1997 in New York City by Eugene Goland and has grown to more than 6,000 engineers across 40+ locations in the US, UK, Europe, Latin America, India, and the Middle East. The firm delivers data, analytics, and AI platforms for finance, media, healthcare, retail, and travel clients, built around Artisyn, its AI-enabled operating model that embeds AI agents and governance frameworks across the software development lifecycle, including regulated industries. Clients cited on its Clutch profile include Priceline, Ocado Technology, Legal & General, and Flutter Entertainment.

DataArt was founded in 1997 and is headquartered in New York, New York, United States. The firm employs 6,000+ people and works primarily with clients in FinTech, Media & Entertainment, Healthcare, Retail & E-commerce, Travel & Hospitality sectors. Its primary differentiator is: Artisyn, a proprietary AI-enabled operating model embedding governance and AI agents across the delivery lifecycle..

DataArt tech stack and services

PythonAWSAzureApache SparkKubernetesMLflow
Service area Details
Regulated financial services or healthcare company needs AI delivery with a built-in governance framework. Available for FinTech, Media & Entertainment, Healthcare, Retail & E-commerce, Travel & Hospitality clients
Enterprise wants a vendor with named, publicly referenceable clients like Priceline and Legal & General. Available for FinTech, Media & Entertainment, Healthcare, Retail & E-commerce, Travel & Hospitality clients
Large company needs a single AI/data platform partner across 40+ global delivery locations. Available for FinTech, Media & Entertainment, Healthcare, Retail & E-commerce, Travel & Hospitality clients

DataArt use cases

Short answer: DataArt is best suited for regulated-industry enterprises (finance, healthcare) that need AI delivery with built-in governance frameworks..

Use case Industries Approach
Regulated financial services or healthcare company needs AI delivery with a built-in governance framework. FinTech, Media & Entertainment Python, AWS
Enterprise wants a vendor with named, publicly referenceable clients like Priceline and Legal & General. FinTech, Media & Entertainment Python, AWS
Large company needs a single AI/data platform partner across 40+ global delivery locations. FinTech, Media & Entertainment Python, AWS

DataArt pricing

Short answer: DataArt uses a time & materials, managed engagement pricing approach. Minimum engagement starts at Not published.

Engagement model Typical range Best for
Managed engagement Variable; depends on team size Large programmes or team augmentation
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
+Named enterprise clients (Priceline, Ocado Technology, Legal & General, Flutter Entertainment) are independently verifiable via public case studies. -At 6,000+ employees, engagements are structured around managed delivery rather than close founder-level involvement.
+27+ years of operating history (since 1997) gives it one of the longer track records in this list. -AI/ML is one of several core service lines (alongside broader data/analytics platform work), not the firm's exclusive focus.
+Artisyn operating model specifically addresses AI governance for regulated industries like financial services and healthcare, a genuine differentiator.
+6,000+ engineers across 40+ global locations provide substantial delivery capacity and geographic flexibility.

DataArt vs alternatives

How DataArt compares to the other top Machine Learning Development companies.

Company Best for Key difference Rating Compare
Neurons Lab Enterprises that need a senior AI advisory team... Founder-led AI strategy-to-production consultancy with no junior-heavy delivery layer. 4.9 Full comparison
Provectus Mid-market and enterprise companies that need production-grade MLOps,... AI-first systems integrator built around running production ML/AI infrastructure long-term. 4.8 Full comparison
Tensorway Fintech, healthcare, and retail companies that want a... AI boutique backed by 20+ years of software delivery experience via parent company Anadea. 4.6 Full comparison
InData Labs FinTech, healthcare, and SaaS companies that want a... Ten-plus years as a pure-play AI/data-science firm with no general software-development sideline. 4.5 Full comparison
DataRoot Labs Startups and lean teams that want direct access... Runs its own free ML/data-engineering school (DataRoot University, 6,000+ graduates) as a self-built talent pipeline. 4.5 Full comparison
XenonStack Companies building agentic AI or real-time data platforms... Multi-cloud certified (AWS, Azure, GCP) platform-engineering specialist for real-time and agentic AI. 4.4 Full comparison
Grid Dynamics Fortune 1000 enterprises that need public-company financial transparency... Nasdaq-listed enterprise AI engineering firm with public financial reporting and Fortune 1000 client base. 4.4 Full comparison
MobiDev US and EU companies that want an ML... Clutch's #1-ranked Machine Learning development company (2021), with a dedicated AI practice since 2018. 4.3 Full comparison
Addepto Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they... AI consulting boutique with third-party press recognition (Forbes, Deloitte, Financial Times), now part of KMS Technology. 4.3 Full comparison
LeewayHertz Enterprises that want AI consulting backed by a... AI consultancy now operating as a Hackett Group company, combining startup-era agility with public-company backing. 4.2 Full comparison
Softermii Product teams building AI agents or generative AI... 4.9/5 Clutch rating (34 reviews) with a specific focus on AI agents and real-time communication platforms. 4.2 Full comparison
Sigma Software Group Automotive, aviation, and AdTech companies that need a... Deep, decade-plus domain expertise in AdTech, automotive, and aviation combined with enterprise-scale delivery capacity. 4.2 Full comparison
Master of Code Global Enterprise brands that need chat or voice AI... 20-year specialization in enterprise chat and voice AI, with named enterprise clients like T-Mobile and Burberry. 4.1 Full comparison
Markovate Companies wanting AI agent or chatbot development led... CEO brings direct enterprise AI leadership experience (AT&T, IBM) rather than a purely technical or agency background. 4.1 Full comparison
SoluLab Companies that want AI development from a vendor... Combines AI-native development with blockchain/Web3 expertise under one delivery team. 4.1 Full comparison
Zfort Group Companies wanting a long-established (24+ year) software firm's... One of the longest-operating firms in this list (founded 2000) with a 5-star Clutch rating and broad ML sub-specialty coverage. 4.0 Full comparison
Yalantis Compliance-sensitive industries (IoT, healthcare, embedded systems) that need... Compliance-first positioning combined with multi-cloud ML delivery (AWS, Azure, GCP) under one roof. 4.0 Full comparison
Space-O Technologies Companies that need machine learning embedded into a... 15 years of mobile/software product delivery experience (since 2010) with ML added as a production-application capability. 4.0 Full comparison
EPAM Systems Large enterprises with $100K+ AI budgets that need... Public-company (NYSE: EPAM) scale and compliance rigor, with 30+ years of engineering history predating the AI wave. 4.0 Full comparison
SoftServe Enterprises that want an established, dual-HQ (US/Ukraine) engineering... 31 years of engineering history (since 1993) with dual US and Ukraine headquarters and 12,000+ employees. 4.0 Full comparison
Cleveroad Healthcare, logistics, and fintech companies wanting an Estonia-based... Named to the 2025 Clutch 1000, placing it in the global top 30 highest-rated B2B service providers on the platform. 3.9 Full comparison
Existek Mid-market companies wanting a Clutch-recognized offshore development firm... 4.9 Clutch rating with dual Ukraine/Romania Clutch top-developer recognition and a $25,000+ accessible entry point. 3.9 Full comparison
Konstant Infosolutions Companies needing AI/ML features added to a mobile... 175+ Clutch reviews — one of the highest review volumes in this list — from a 23-year mobile/web development track record. 3.9 Full comparison
Debut Infotech Companies wanting ML development from a firm that... Blockchain-native since 2015, combining that engineering discipline with newer machine learning and AI automation services. 3.9 Full comparison
ValueCoders Budget-conscious companies wanting a 20-year Indian IT outsourcer... 5.0 Clutch rating combined with a specific AutoML development service line, uncommon among generalist outsourcing firms. 3.8 Full comparison
OpenXcell Companies wanting AI strategy and custom LLM development... 500–1,000 person scale combined with a specific custom-LLM development offering, not just general AI consulting. 3.8 Full comparison
Simform Companies wanting AI/ML engineering bundled with broader cloud,... Ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023 — one of the strongest third-party rankings in this list. 3.8 Full comparison
ScienceSoft Enterprises wanting AI/MLOps delivery from a 35-year-old IT... 35+ years of continuous operating history (since 1989), among the longest-established vendors in this list. 3.8 Full comparison
Belitsoft Companies that need AI models integrated into an... 20+ years of dedicated SaaS product development experience, applied specifically to AI model integration for B2B SaaS. 3.8 Full comparison
N-iX Enterprises wanting ML development bundled with broader cloud,... Seven consecutive years of Clutch top global IT services company recognition, combined with dedicated ML and MLOps consulting content. 3.8 Full comparison
ELEKS Enterprises wanting AI/ML delivery from one of the... 33+ years of operating history (since 1991) with 1,000+ delivered data-driven projects and Global Outsourcing 100 recognition. 3.7 Full comparison
Intellias Automotive, mobility, and IoT companies wanting ML development... Strong automotive/mobility and IoT sector heritage, giving it differentiated depth in embedded and connected-device ML use cases. 3.7 Full comparison
Andersen Enterprises wanting AI consulting bundled with a very... 3,600+ in-house experts across 20 office locations, giving it exceptional breadth across programming languages and delivery models. 3.7 Full comparison
Innowise Companies wanting a dedicated 300-person AI/data hub backed... A specifically named 300+ person Data and AI hub within a much larger 3,500+ engineer group, giving both focus and scale. 3.7 Full comparison
Accenture The largest global enterprises needing AI transformation consulting... Everest Group's highest-rated Leader in both Data & Analytics and AI/Generative AI PEAK Matrix Assessments (2024), at unmatched global scale. 3.7 Full comparison

DataArt FAQ

What is DataArt?

DataArt was founded in 1997 in New York City by Eugene Goland and has grown to more than 6,000 engineers across 40+ locations in the US, UK, Europe, Latin America, India, and the Middle East. The firm delivers data, analytics, and AI platforms for finance, media, healthcare, retail, and travel clients, built around Artisyn, its AI-enabled operating model that embeds AI agents and governance frameworks across the software development lifecycle, including regulated industries. Clients cited on its Clutch profile include Priceline, Ocado Technology, Legal & General, and Flutter Entertainment.

How much does DataArt charge?

DataArt uses time & materials, managed engagement pricing. Minimum engagement starts at Not published. A discovery call is required to get project-specific quotes.

What tech stack does DataArt use?

DataArt works with Python, AWS, Azure, Apache Spark, Kubernetes, MLflow. Primary industries served include FinTech, Media & Entertainment, Healthcare, Retail & E-commerce, Travel & Hospitality.

Is DataArt right for enterprise?

Regulated-industry enterprises (finance, healthcare) that need AI delivery with built-in governance frameworks.. 6,000+ team size. Key consideration: At 6,000+ employees, engagements are structured around managed delivery rather than close founder-level involvement..

What are the best DataArt alternatives?

The best alternatives to DataArt depend on your use case. Top options are:

  • Neurons Lab: founder-led ai strategy-to-production consultancy with no junior-heavy delivery layer.
  • Provectus: ai-first systems integrator built around running production ml/ai infrastructure long-term.
  • Tensorway: ai boutique backed by 20+ years of software delivery experience via parent company anadea.
See full alternatives list

Compare DataArt with other Machine Learning Development companies

Last reviewed: July 2026. Verify all details directly with DataArt before making a decision.