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Data quality: Editorially Reviewed
Google Cloud
Software development
Travel & hospitality
Language (LLM / NLP)
Financial services
Databricks
Data engineering & preparation
AI strategy & roadmap consulting
Staff augmentation
Media & publishing
Implementation Partners
Implementation & integration
Analytics & decision support
Predictive / classical ML
Knowledge & search
Healthcare & life sciences
ML lifecycle & data
Snowflake
Amazon Web Services
Salesforce
Retrieval & semantic search
Azure
Data strategy & engineering
Retail & e-commerce
Enterprise

DataArt

Implementation & integration

Offered by DataArt Enterprises Inc.

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Overview

DataArt is a software engineering and consulting firm with its US entity in New York and offices across Europe, Latin America and the UAE. Its AI offering covers AI strategy, generative AI, AI-accelerated engineering and a product called Artisyn, supported by data strategy, platforms, migration and cloud modernization services. It names Microsoft, AWS, Google Cloud, Anthropic, NVIDIA, Snowflake, Databricks and Salesforce as partners. Industries listed include finance, healthcare and life sciences, CPG and retail, travel and hospitality, media, mobility and manufacturing, and education.

Pricing model
On request
Regions served
North America, Europe, Latin America, Middle East
Categories
Google Cloud, Software development, Travel & hospitality, Language (LLM / NLP), Financial services, Databricks, Data engineering & preparation, AI strategy & roadmap consulting, Staff augmentation, Media & publishing, Implementation Partners, Implementation & integration, Analytics & decision support, Predictive / classical ML, Knowledge & search, Healthcare & life sciences, ML lifecycle & data, Snowflake, Amazon Web Services, Salesforce, Retrieval & semantic search, Azure, Data strategy & engineering, Retail & e-commerce, Enterprise
Last updated
7 October 2026
Published
7 October 2026

Use cases

Software development
ML lifecycle & data
Knowledge & search
Analytics & decision support

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
dataart.com
Sources cited
2
Last reviewed
6 October 2026
Last updated
7 October 2026

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