ELAI Enters US Market, Taps Industry Vet to Solve AI's ROI Problem

NEW YORK, NY – April 29, 2026 – Italian artificial intelligence leader ELAI today announced a major expansion into North America, appointing former Prudential and State Farm Global Chief Data Officer Kjersten Moody as CEO of its new regional division. The move signals a direct assault on one of the most persistent problems in the tech industry: the struggle for enterprises to achieve a measurable return on their massive AI investments.

Founded in Rome in 2020, ELAI aims to bridge the widening chasm between AI ambition and bottom-line impact with an autonomous data science platform that promises to radically accelerate the deployment of predictive models. By establishing a significant presence in the United States under the leadership of a seasoned industry veteran, the company is making a bold statement about its readiness to tackle the operational bottlenecks that have stymied AI adoption in the world's largest market.

A Market Ripe with Ambition, Starved for Results

Despite years of aggressive investment and C-suite enthusiasm, the story of enterprise AI is often one of frustration. According to multiple industry surveys, fewer than 40% of companies report a measurable impact from their AI initiatives. This reality has created a significant disconnect where boardrooms champion AI strategies while frontline teams grapple with projects that are slow, costly, and difficult to scale.

ELAI argues that the primary barrier is not a failure of technology, but a failure of operations. The traditional process of building, deploying, and maintaining predictive AI models remains a manual, resource-intensive endeavor that can take 6 to 9 months, requiring specialized teams of data scientists and engineers. This slow, bespoke approach makes it nearly impossible for organizations to deploy AI at the scale needed to drive transformative change.

"The lack of AI monetization in enterprises is not a technology issue—it's a mindset issue," said Antonio Sciuto, Co-Founder and Group CEO of ELAI, in the company's official announcement. "By automating data science, we enable organizations to scale predictive models across all business functions, improving decision-making and driving measurable impact on key metrics such as the P&L."

This sentiment reflects a growing consensus that for AI to deliver on its promise, it must become more efficient, more accessible, and more deeply integrated into core business processes. The challenge is no longer just about building a powerful algorithm, but about creating a repeatable, scalable system for generating value from data.

An Autonomous Agent for a Crowded Field

ELAI's answer to this challenge is an enterprise-grade SaaS platform built around what it calls an "autonomous data science agent." This technology combines generative AI and machine learning to automate the entire data science lifecycle. The company claims its platform can ingest raw, heterogeneous data sources, automatically clean and prepare the data, build and validate predictive models, and deploy them into production in a matter of hours, not months, while reducing associated costs by up to 90%.

This positions ELAI in a competitive but evolving market alongside established MLOps and AutoML platforms like DataRobot, H2O.ai, and the comprehensive AI suites offered by cloud giants like Google, Amazon, and Microsoft. While these competitors also offer various levels of automation, ELAI's core differentiator appears to be its focus on full autonomy across the entire lifecycle, from initial data exploration to long-term model maintenance and retraining.

The platform is designed to democratize access to powerful predictive capabilities. By offering a no-code interface, it empowers business teams—in marketing, finance, operations, and more—to build and use predictive models without needing to write a single line of code. Simultaneously, it serves as an accelerator for expert data scientists, automating tedious tasks and allowing them to focus on rapid prototyping and more complex strategic challenges. Further enriching its models, the platform integrates a vast library of over 650 socio-economic indicators across 180 countries, adding external context to an organization's internal data.

Strategic Leadership for a Critical Market

The selection of Kjersten Moody to lead the North American expansion is a clear strategic signal. With a resume that includes top data leadership roles at financial services giant Prudential, insurance leader State Farm, and consumer goods conglomerate Unilever, Moody possesses a deep, client-side understanding of the very challenges ELAI aims to solve. Her career has been built on navigating the complexities of data strategy and AI implementation within massive, legacy organizations.

"U.S. companies are investing aggressively in AI but still face a gap between ambition and outcomes," Moody stated. "ELAI closes that gap by quickly delivering production‑ready results that fuel true competitive differentiation."

Her appointment lends significant credibility to ELAI's mission. It suggests a focus not just on selling technology, but on partnering with enterprises to achieve strategic goals. As Sciuto noted, "Kjersten brings the strategic clarity and operational excellence ELAI needs for its next stage of growth." This move is further underscored by the company's commercial pipeline, with the U.S. market already representing more than 70% of its new business opportunities in 2026, making a successful expansion critical.

From Rome to Global Scale

While its North American push is new, ELAI is not a fledgling startup. Since its founding in 2020, the company has seen rapid adoption, currently scaling at over 40% year-over-year. It already serves more than 100 organizations across 15 countries, boasting a diverse and impressive client list that includes banking group Intesa Sanpaolo, telecom giant Orange, luxury brand Valentino, and non-profits like UNICEF and the World Wide Fund for Nature (WWF).

This existing international footprint demonstrates a proven track record and a platform robust enough to serve a wide range of industries and use cases. The company's rapid growth in Europe provides a strong foundation for its ambitious move into the highly competitive, and highly lucrative, American market.

By combining a mature, automation-first technology with experienced, strategic leadership, ELAI is positioning itself to be more than just another vendor in the crowded AI marketplace. As US companies continue to pour billions into artificial intelligence, ELAI is betting that its promise of speed, efficiency, and tangible results will be the key to unlocking the technology's long-awaited business potential.