DataArt commits $100 million to advance Data and AI capabilities
The financial commitment will strengthen DataArt's core data and AI services, which are already key drivers of client demand and revenue growth.
DataArt, a global software engineering firm specializing in data, analytics, and AI, announced a $100 million commitment to strengthen its data and AI capabilities, responding to increased client demand while maintaining its focus on technology-driven business results.
Eugene Goland, CEO and Founder of DataArt, said: "We are making a deliberate financial commitment to the technologies shaping the future of our clients and our company.This isnât about changing course â itâs about doubling down on the areas weâve been building and delivering on for years."
The financial commitment will strengthen DataArtâs core data and AI services, which are already key drivers of client demand and revenue growth. Focus areas include:
- Data Strategy: Helping clients define roadmaps that transform data into a valuable business asset.
- Data Platform Engineering: Building scalable platforms for real-time, trusted data.
- Data Value Realization: Delivering measurable results from data initiatives.
- Generative AI: Turning advanced AI capabilities into real business solutions through strategic consulting, custom development, and accelerators.
- AI-Accelerated Engineering: Injecting AI into every stage of the SDLC to boost speed and improve quality.
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These services are foundational to enterprise AI adoption, especially in data-intensive sectors where demand is rising sharply. A core part of DataArtâs strategy is a pragmatic and thoughtful approach to AI. The company uses AI by default where it drives clear value but remains measured in areas where impact is limited or uncertain. DataArt continuously monitors advancements in third-party tools and models to ensure clients benefit from meaningful innovation â not just trends.
Internally, the company is scaling AI adoption across all functions. By the end of 2025, 100% of employees will have access to corporate AI tools, and up to 60% of engineering roles will actively use AI. As part of this strategy, DataArt is actively pursuing AI-driven optimization across the software development lifecycle (SDLC), with significant improvements already emerging in areas such as product management, code generation, and quality engineering â where AI is proving to be a strong accelerator of both speed and precision. These changes are supported by new training programs, updated skill matrices, and practical internal resources to guide responsible AI use.
The $100 million commitment also supports hiring senior talent, expanding learning programs via DataArtâs proprietary LMS platform, EDU, and advancing R&D through Innovation Labs. The commitment also supports the continued development of proprietary solutions, including the DataArt Connect AI Platform â a secure, scalable platform for AI automation, productivity, and governance â and dozens of data and AI accelerators already driving value for clients.
To support delivery at scale, DataArt is deepening strategic partnerships with AWS, Google Cloud, Microsoft Azure, Snowflake, and Databricks. The company is also reserving part of the financial commitment for co-innovation with select clients, including support for early-stage R&D and business case development.
Additionally, DataArt is evolving its commercial models to reflect compressed timelines and rising value expectations around data and AI. While T&M, fixed-price, and managed services remain core, outcomes-based pricing is expanding where aligned with client goals.
The Strategy behind $100M commitment to Data & AI
Thereâs been a lot of noise around data and AI. But for those of us building real systems and working closely with enterprise clients, whatâs happening now is less about buzz and more about pressure. Pressure to move faster, deliver smarter, and keep up with growing expectations.
Weâve seen these kinds of shifts before. They never happen all at once, and they never come with a map. But they always create opportunities for companies willing to adjust early and build with intent.
Recently, we announced a $100 million commitment to expand our data and AI capabilitiesâ a focused, long-term initiative in what we believe will define the next decade of our work. That means $100 million over the next three years to strengthen our capabilities and build new tools, generate new frameworks, and create new ways of working. Most of all, it means helping our people and clients succeed in a space thatâs still taking shape. Hereâs what that looks like.
Data Foundation First: Paving the Way for AI with Clean Data & Cloud Infrastructure
AI canât happen without data thatâs trustworthy and accessible. Thatâs where most of our clients are struggling, and itâs where weâre focusing first.
Weâre growing our core data services to help clients build strong foundations. These services are organized around three key pillars:
- Data Strategy: Helping clients build roadmaps to turn data into a true business asset.
- Data Platform Engineering: Designing and building platforms that deliver real-time, reliable data.
- Data Value Realization: Ensuring data efforts lead to clear, measurable business outcomes.
We expect demand for data services to continue growing in the near future. But at some point, before the end of the decade, data will truly be ready for AI.
AI by Default: Adopting AI in the SDLC & Inside DataArt to Be Better, Faster, Stronger
A core part of our strategy is a pragmatic and thoughtful approach to AI, using AI by default where it drives clear value but remains measured in areas where impact is limited or uncertain. For example, weâre continuously monitoring advancements in third-party tools and models to ensure clients benefit from meaningful innovation â not just trends.
Right now, weâre integrating AI tools across delivery and internal operations, starting with AI-accelerated engineering. Our teams are already using solutions like GitHub Copilot, and weâre expanding adoption across the entire SDLC, from architecture to engineering to QA and testing.
Of course, AI adoption goes beyond technical roles. Inside the company, DataArt is embedding AI into day-to-day operations, from finance to talent acquisition to sales & marketing and other functions.
By the end of 2025, all employees will have access to AI tools, and up to 60% of engineering roles are expected to use them actively for software delivery, depending on client needs and preferences.
Future-Focused Talent Strategy: Hiring & Upskilling for Data & AI Skills with Our Award-Winning Employer Brand & L&D
Becoming an AI-by-default company doesnât work without investing in people. To support this shift, weâre evolving career paths, updating training programs, introducing clear qualification standards, and expanding internal knowledge bases. Skill matrices across engineering roles are also being refreshed to reflect AI adoption and to ensure learning remains accessible and directly applicable to real world.
This effort is led by our Learning & Development team, with an emphasis on AI-accelerated engineering to meet rising demand for quality, speed, and flexibility â delivered through EDU, our in-house platform with 300+ original courses.
Our teams also have access to external platforms like OâReilly, Udemy, LinkedIn Learning, and other resources, now tailored to reflect the fast-changing landscape of data and AI.
In addition, we are integrating AI skills into the hiring process and focusing on recruiting experienced data and AI professionals across regions.
Solutions & Accelerators: Developing IP to Deliver Value Faster
Proprietary solutions and accelerators are a core part of our strategy, and our Connect AI Platform is the centerpiece of this effort. The foundation of the platform provides a secure, scalable, and tech-agnostic environment built to help clients move from AI exploration to production.
Beyond enabling core AI infrastructure in a matter of days, not weeks or months, Connect AI is evolving rapidly to support industry-specific AI use cases with accelerators that run on the platform.
For us, this means boosting the SDLC with turnkey code generation and testing accelerators and agents. For clients, itâs about effortlessly injecting AI into industry processes and segments, like ClinicAI for unleashing GenAI in clinical trials or TRAG for RAG-based Travel industry apps.
In parallel, weâre expanding our portfolio of proprietary data and AI acelerators and building new components focused on automation, migration, governance, and performance at scale.
Strengthening Partnerships: Going Deeper with Hyperscalers & Data Platform Partners
Weâre investing in deeper, more hands-on partnerships with the cloud and data leaders our clients rely on. These go beyond certifications: they shape how we design systems, architect solutions, and support multi-year digital roadmaps.
Today, DataArt is a Google Cloud Premier Partner, an AWS Advanced Tier Services Partner, and a Microsoft Solutions and Azure Consulting Partner. Our goal is clear: reach the next level across our partner ecosystem to reflect the realization of increased delivery maturity and scale.
Weâre also expanding joint solution development with platforms like Snowflake and Databricks, integrating their tools into our offerings to support faster, more scalable client outcomes.
This work is foundational to our data and AI strategy. Stronger partnerships mean earlier access to new technologies, better support for complex projects, and the ability to shape go-to-market strategies that put our clients first.
Client-Centric Commercial Models: Outcomes-Based & Beyond
AI is changing delivery timelines and the economics of IT services. Weâre adjusting accordingly.
That means continuing to offer T&M, fixed price, and managed services where they fit. But also, it means leaning into outcomes-based models when they align with project goals and delivery structure. Weâre focused on finding the right model for each engagement, often using multiple models within the same account.
Industry Expertise: Applying Data & AI to Our Core Industry Verticals with Practices
Weâve spent decades building deep domain knowledge across finance, healthcare, retail, travel, media, and other sectors. That work continues, with a sharper focus on how AI and data intersect with real business problems.
Our industry practices give clients access to delivery teams that already understand the context, not just the code.
Innovation Labs: End-to-End Services, Powered by AI
Our Labs are where we explore whatâs next. These teams work across AI, data & analytics, quality engineering, cybersecurity, cloud & DevOps, automation, and many other domains, building frameworks and prototypes that can be tested, shared, and scaled. Much of our IP and accelerator development starts here, and weâre expanding Labs to cover more domains on a quarterly basis.
A portion of the $100 million commitment is reserved for co-investment in client R&D initiatives. For select partners, weâll help develop business cases and support early-stage innovation efforts, giving promising ideas the push they need to move from concept to execution.
Solution Advisory & Strategy Consulting: The DSA Advantage
Our DataArt Solution Advisors (DSA) support clients through all stages of AI and data transformation. In DSA engagements and beyond, we use the Connect Framework to help teams assess readiness, define strategy, and move forward with clarity.
This offering is growing fast, as more clients seek structured guidance in a space thatâs still full of uncertainty.
Blending Data + Art: Tech Excellence Without Losing Sight of the Power of Human Creativity
AI can automate many things, but creativity, empathy, and critical thinking still make the difference. These are the qualities that define our best teams and most lasting client relationships.
Weâre keeping that focus, even as the tools evolve. We build with intention, not just speed. Thatâs how we bring data and art together, and why that blend still matters.
Where Weâre Headed, and How Weâll Get There
In the months and years ahead, we will continue sharing updates via thought leadership content, case studies, industry events, and other forums.
Weâre not just updating our offerings. Weâre reshaping how we deliver, how we grow, and how we support our people and our clients through the next phase of this industry.
If youâre already working with us, thank you for being part of that journey. If youâre thinking about joining, whether as a client or a team member, we hope this gives you a clearer picture of what weâre building, and where weâre going.