Predictable AI at Enterprise Scale
DataArt engineers production-ready AI pipelines into your core software infrastructure. Trusted by Fortune 500 enterprises across finance, healthcare, retail, and beyond.
Trusted by
Dedicated LLM Specialists
Active Client AI Programs
Accelerators Deployed
Why AI Fails — and How to Fix It
How DataArt Delivers AI That Works
10% Revenue Increase with AI-Powered Personalization for an Insurance Aggregator
Learn how a digital insurance platform used real-time ML to predict each visitor's revenue potential and dynamically select the highest-performing content turning every click into a data-driven decision.
revenue uplift from smarter content targeting
models combined into three predictive strategies
Conversational AI for Healthcare: Chat-Based Patient Document Search
DataArt built a GenAI chatbot that lets care management operators ask natural language questions and get instant, source-referenced answers from patient documents without leaving their workflow.
reduction in query processing time
accuracy score for reference matching
Reducing Equipment Downtime and Maintenance Costs with a Predictive Maintenance Platform
DataArt built a serverless, cloud-based platform combining IoT sensors, ML models, and real-time analytics to anticipate conveyor failures before they happen protecting assets where a single breakdown can cost over $1M per hour.
reduction in overtime expenses
increase in machine life
40% Developer Productivity Boost with a Safe AI-Assisted Migration
Discover how DataArt led a multi-million-dollar system migration for a highly regulated environmental services company using GPT-4-powered engineering to modernize a decades-old platform without disrupting operations or compromising compliance.
boost in developer efficiency on SQL-heavy tasks
Migrating 500K Lines of Legacy Code with Copilot at One-Third of the Cost
DataArt modernized a sports game application's entire legacy codebase using GitHub Copilot, upgrading to .NET 8.0, improving stability, and delivering the project at a fraction of traditional migration cost.
reduction in migration costs
Developer Productivity Boost with a Safe AI-Assisted Migration
DataArt Investment in Predictability
A deliberate bet on the technologies shaping our clients' future — and ours.
What Powers DataArt's AI Practice
Data Foundation First
Helping clients build robust, scalable data ecosystems through data strategy, platform engineering, and value realization services, establishing the prerequisite for effective AI adoption.
AI by Default
Accelerating delivery by embedding AI-powered engineering and operations across roles and functions, supported by internal training and enterprise-wide tool adoption.
The Artisyn Platform
Artisyn is DataArt's AI-enabled delivery platform that provides governed automation, reusable ML pipelines, and cloud-native infrastructure to eliminate the most expensive parts of enterprise AI deployment and accelerate software delivery.
See Artisyn in Action
Strategic Partnerships
As a Select partner in Anthropic’s Claude Partner Network Services Track, we help enterprises deploy Claude-based AI solutions in complex business environments.
Deep specialization in AWS-native AI services. DataArt’s AILA accelerator is built on AWS infrastructure and supports scalable, governed data pipelines for regulated industries.
Frequently Asked Questions
Everything you need to know about working with DataArt on your AI initiative.
How long does a typical AI engagement take?
Most projects move from discovery to first production deployment in 12-16 weeks. Complex, multi-system implementations run 6-12 months depending on data readiness and scope.
Do we need our data infrastructure ready before starting?
Not necessarily. Most engagements begin with a data readiness assessment. We can help you build or modernize your data foundation as part of the AI program. Effective AI requires trustworthy, accessible data, and where needed, we build that foundation in parallel with the solution.
What makes DataArt different from other AI vendors?
Three things:
- We ran the same AI adoption program on ourselves before advising clients. We are Client Zero.
- Our Artisyn platform embeds governance and compliance from architecture to deployment, not as an afterthought.
- Our commercial models are outcome-aligned: DataArt's success is tied to yours.
How do you move an AI initiative from pilot to production?
DataArt's delivery framework follows a four-stage model: To Start → To Build → To Boost → To Integrate. Every engagement includes MLOps pipelines, drift detection, retraining infrastructure, and governance from day one.
Which industries do you specialize in?
Financial services, healthcare & life sciences, travel & hospitality, retail & distribution, and media & entertainment. Our AI Lab operates as a cross-cutting capability across all practices.
How does DataArt approach AI governance and compliance in regulated industries?
Compliance, auditability, and engineering rigor are embedded into every engagement from the beginning. The AILA accelerator, for example, weaves governance directly into data pipelines: standardized data contracts, end-to-end lineage, and auditability through reproducible pipelines. DataArt has particular depth in healthcare and financial services, where regulatory requirements shape architectural choices from day one.
How does DataArt ensure AI systems remain reliable after deployment?
Post-deployment reliability is built into the delivery model, not added after. Every AI engagement includes LLMOps tooling for orchestrating and monitoring LLM usage, drift detection, retraining pipelines, and observability through customizable dashboards that track environment usage, team activity, and cost.
Build AI That Scales
Tell us about your AI initiative. Our architects respond within one business day.