Your systems may not be built for AI yet but they don’t have to stay that way. We’ll get you there: modernizing your apps, data, and infrastructure at your pace, then scaling straight through to managed services. One partner, one journey through modernization, cloud, data, and managed services across IBM i and Microsoft.
The right IT decisions should lead to results you can measure. Faster delivery, stronger uptime, lower infrastructure costs, and quicker access to trusted data are what progress looks like when the work is done right.
Modernize RPG code 50% faster with AI-assisted application transformation
Support uptime with 24/7 monitoring, security, and managed services
In infrastructure costs with IBM i cloud migration and hosting
Answers and insights with unified data and AI-driven analytics
Whether you’re modernizing long-running applications, adding coverage for day-to-day operations, or turning IBM i data into usable insights, Fresche brings together the services, software, and expertise to support your IT environment.
Your IBM i already holds years of operational and transactional data. See how you can make it connected, trusted, and ready for analytics and AI.
RPG/COBOL expertise is retiring faster than it’s replaced. We modernize your code into maintainable, documented formats so it takes fewer specialized hands to keep running.
Decades of patched-together code slow down every change. We automate transformation and refactoring to cut technical debt without a rip-and-replace rewrite.
Undocumented, brittle systems are a single point of failure. We build auditable, resilient code paths so you’re not dependent on tribal knowledge.
Core business data is locked inside IBM i files and DB2. We expose and structure it for your BI and AI tools.
Moving off legacy infrastructure shouldn’t mean disrupting operations. We modernize incrementally: on-prem, hybrid, or cloud.
IBM i data and logic aren’t built for AI/ML consumption. We prepare and expose your IBM i assets so AI tools can actually use them.
Data is scattered across Microsoft 365, Dynamics, and Azure with no single view. We unify these sources into one consistent layer.
Teams stitch data together by hand, wasting time and introducing errors. We automate the pipelines so they don’t have to.
Inconsistent, duplicated data undermines confidence in reporting and AI. We apply quality and governance layers before data reaches BI or AI tools.
Every data request runs through IT, slowing decisions down. Our semantic layer enables self-service access without losing governance.
Fabric without your IBM i data is missing the full picture. We bridge that gap, feeding Fabric the source-of-truth data it’s been missing.
Different teams define the same metric differently, breaking trust in results. We standardize definitions and lineage across systems.
Lamps Plus reduced legacy code by 25%, removing 5,400 unused objects and 11,000 source members to make ongoing development easier to move forward.
PriceSmart moved to the cloud with just 2 hours of downtime, added real-time disaster recovery, and built the capacity to support 18% annual growth.
Use our ROI calculators to see where you can estimate savings and improve operational efficiency.
Find guidance on the issues in front of you, from application modernization and cloud strategy to reporting, analytics, and day-to-day IBM i operations.
Talk with our team about where you are and what comes next.