A Trusted Partner for Data Valorization and AI Adoption
Eng AI & Data is Engineering’s Technology Business Line specialized in Artificial Intelligence and Advanced Analytics. With more than 450 professionals and 130 AI experts and researchers, we help companies and organizations unlock the full value of their data through an offering that covers the entire data lifecycle, from collection and management to data quality, governance, and visualization.
Why Choose Engineering
Thanks to this innovative strategy, the company will help organizations move beyond relying solely on AI systems that are difficult to govern, inspect, and certify.
Artificial Intelligence thus becomes an asset that generates cumulative value over time and contributes to building a defensible and long‑lasting competitive advantage.
What is EngGPT?
EngGPT is Engineering’s Italian Large Language Model, designed to optimize business processes while ensuring full control, efficiency, and transparency in AI adoption.
Benefits of EngGPT
EngGPT
The Engineering Group’s Italian Large Language Model for Private GenAI.
What is Agent Studio?
A no-code platform that enables organizations to create, orchestrate, and manage AI agents without programming skills.
Benefits of Agent Studio
Agent Studio
Eng's no-code platform for designing, orchestrating, and managing AI agents.
What is Knowage?
Engineering’s open-source platform for business intelligence and data visualization.
Benefits of Knowage
Knowage
Open Source suite for modern analytics and business intelligence initiatives from data visualization to deep analysis.
Data management & Intelligence
We define data strategies and governance frameworks to ensure effective, compliant, and value-driven data management. We design roles, responsibilities, and decision-making models, together with principles, policies, and processes, to guarantee ownership and control throughout the entire data lifecycle.
We support organizations in defining the right technology stack and implementing change management programs that foster data literacy and enable the sustainable adoption of AI.
We design modern data platforms that enable organizations to govern, integrate, and maximize the value of structured and unstructured data across batch and real-time environments, both on-premises and in the cloud, supporting more autonomous operational models.
We build reliable, AI-ready foundations by integrating semantic modeling, KPI standardization, and predictive intelligence. We accelerate Data & AI initiatives while optimizing TCO, performance, and scalability.
We design data consumption experiences through dashboards, reporting solutions, and data storytelling tools that make information accessible, actionable, and easy to understand.
We introduce advanced visualizations enhanced by AI and Generative AI, delivering automated insights and natural language interaction. We enable real-time and streaming dashboards for dynamic analysis of operational and event-driven data.
Artificial Intelligence
We build the infrastructure that makes AI operational and scalable at enterprise level, including an AI Factory powered by Engineering’s Data Centers, designed to support enterprise use cases securely and at scale.
We guide organizations through the governance and adoption of AI by defining operating models and supporting the successful implementation of impactful AI initiatives.
We develop proprietary Generative AI assets, including EngGPT, our Large Language Model, and Agent Studio, Engineering’s no-code platform for creating, orchestrating, and managing AI agents.
We deliver AI and Generative AI solutions tailored to specific business needs, enabling both process optimization and the targeted resolution of high-impact business challenges.
We develop advanced Machine Learning and Deep Learning models, leveraging enterprise data and real-world use cases to generate measurable business value.
AI End-to-End Journey
AI adoption is not just a technology decision—it is a cultural and operational transformation that impacts people, processes, and decision-making models.
People must be able to use AI as a tool to enhance their skills, leveraging critical thinking and the ability to guide and govern this technology.
Organizations must drive AI adoption through clear governance and an impact-oriented vision, embedding AI into business processes and operating models to generate sustainable value.
Key Questions to Accelerate Your AI Journey
At Engineering, we guide organizations throughout their entire end-to-end AI journey. One question at a time.
The advent of Agentic AI stems from the need to address challenges that traditional solutions could no longer manage: agents, powered by GenAI and machine learning, mimic human decision-making processes to solve complex problems in real time, achieving specific goals with minimal supervision.
Agentic AI proactively interacts with systems and processes, makes decisions, and autonomously completes complex tasks based on shared rules.
Thanks to its ability to act, collaborate, orchestrate workflows, and intelligently access third-party systems and services, this technology enables unprecedented levels of automation, innovation, efficiency, and operational agility.
Organizations can thus adopt advanced solutions capable of addressing challenges such as increasing business process complexity, data fragmentation across heterogeneous systems, and the limitations of general-purpose LLMs.
Managing complexity
Agentic AI is a strategic lever for organizations, capable of acting proactively and autonomously orchestrating processes to support diverse business needs.
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