CATALOG
Engineering and adoption for every technology challenge
Solutions grouped by our four engineering pillars.
Security
Identity and Access Management
We assess and implement identity and access controls to reduce standing privileges, protect credentials, and integrate a Zero Trust model with your applications and platforms.
Threat detection and response
We centralize and correlate signals to prioritize threats and automate response, reducing the operational effort required for each incident.
Data Security
We identify, classify, and protect your data with Microsoft Purview and Intune to reduce the risk of exposure, loss, and regulatory noncompliance.
Cloud Security
We protect your workloads across Azure, other clouds, and on-premises environments. We centralize detection and automate response to reduce risk to critical assets and business continuity.
AI & Data
AI Pilots
We validate and prioritize AI use cases through prototypes built on Microsoft technologies. Each pilot allows you to assess feasibility, measure impact with users and determine which initiatives have the conditions needed to scale into production.
AI Agents
We implement AI agents connected to enterprise systems, with the architecture, governance and traceability required to operate securely at scale.
AI Solutions
We develop and integrate AI solutions using enterprise information to embed predictive, analytical, and generative capabilities into your processes and applications.
AI Operations (MLOps)
We automate deployments, monitor performance, and manage changes so your models operate with control, traceability, and lower risk.
Data Engineering
We turn scattered information into a consistent, scalable data platform. We integrate, transform, and store data from multiple sources to prepare it for analytics, AI, and enterprise applications.
Data Platform Modernization
We modernize legacy data platforms with cloud architectures and a phased migration. We consolidate storage, processing, and integration to improve scalability and availability and enable advanced analytics, AI, and enterprise applications.
Data Governance
Implement data governance with visibility into the origin, use, and ownership of information to reduce risk and enable analytics and AI initiatives.
Analytics & BI
We design analytical models and dashboards that turn multiple information sources into consistent metrics shared across the organization.
Cloud & Platform Engineering
Cloud Migration
We assess your workloads, design the target architecture, and execute a validated phased migration to optimize costs, resilience, and scalability.
DevOps & Automation
We automate software build, validation, and deployment through CI/CD, infrastructure as code, and AI-augmented DevOps practices to accelerate delivery.
Site Reliability Engineering
Anticipate degradation and respond to failures with observability, automation, and resilience.
Internal Developer Platform (IDP)
We build internal developer platforms that standardize the delivery cycle and reduce manual configuration. We centralize repositories, pipelines, artifacts, and quality controls so your engineering teams can develop and deliver more consistently.
Managed IT Services
We handle monitoring, support, incidents, and maintenance to sustain the availability of your services.
AI-Augmented Software Engineering
Custom Software Development
We add specialists, integrate co-managed teams, or take on complete projects with AI-augmented engineering.
Software Modernization
We assess and modernize critical applications on Azure and .NET to reduce risk, accelerate their evolution, and incorporate automation, agents, and AI capabilities.
Low-Code Applications
We design solutions that combine low-code applications, automation, and AI agents based on each need, with integration, security, and governance built in from the start.
Systems Integration
We connect applications, data, and processes through APIs, messaging, and events to replace point-to-point integrations with a more decoupled and scalable architecture.
Solution Architecture
We assess software, cloud, and infrastructure architectures to identify risks and dependencies, define a target architecture, and organize their evolution through a roadmap.
Quality Engineering
We incorporate AI-powered test automation to accelerate test creation, execution, and maintenance. We assess functionality, integration, performance, coverage, and vulnerabilities to detect risks early and improve the quality and reliability of your releases before production.
UX/UI Design
We design and improve applications based on usage evidence and user validation to simplify critical tasks and provide developers with clear, consistent, and documented interfaces.
Staff augmentation
Add specialists or dedicated teams that combine engineering expertise with AI agents to accelerate software, cloud, data and AI initiatives.
Let's Get In Touch
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Federico Tagliani
Managing Director
Our work doesn’t end with implementation. We make sure the technology is adopted and delivers results.