nFolks earned its reputation as an IBM Business Partner solving the hardest enterprise data problems. We bring that same automation-first, integrity-first approach to the hyperscalers and AI labs our clients run on.
Every platform changes. What doesn't is the need to move enterprise data safely, govern it well, and prime it for AI. That's our wedge β and it travels across any stack. It's also the foundation of our wider point of view on trusted AI delivery β read it here.
As an IBM Business Partner working alongside IBM Expert Labs, we've delivered production data modernization across the full IBM data and AI stack. This is the practice everything else is built on.
Our proprietary Data Accelerators and certified services team have been integral to many successful IBM Expert Labs engagements β migrating difficult IBM Cloud Pak for Data and IBM DataStage legacy assets with automation and guaranteed data integrity.
As enterprises go multi-cloud and multi-model, we bring our migration, governance, and learning discipline to the platforms they run on.
Modernization onto AWS data services and migration off legacy ETL, with governed pipelines feeding analytics and AI.
Data platform modernization, Microsoft Fabric, and Microsoft Power BI learning services.
Migration to BigQuery and Google's data stack, with the same automated conversion and validation discipline.
AI-ready data pipelines for IBM watsonx and leading models from NVIDIA, OpenAI, and Anthropic.
Vendor-neutral data platform migrations and lakehouse modernization for clients standardizing on cloud-native data.
Power BIEnd-to-end Microsoft Power BI deployment and implementation across ERP, CRM, and SSAS sources.
Don't see your platform? Our approach is platform-agnostic β tell us your stack and we'll map a path.