Vitrin9 Information

Most companies don't have a data problem they can see. Finance is in the ERP. Operations is in SQL Server or a legacy system nobody wants to touch. Sales is in a CRM, HR is in another SaaS tool, and the numbers people actually trust live in a spreadsheet. Then someone says "let's add AI," and it fails — not because the model is bad, but because the data under it is fragmented and half-wrong. Vitrin9 fixes that, in order. 1. Unify the data. We pull from every source — SQL Server, legacy ERPs without APIs, flat files, cloud SaaS — into one governed foundation (bronze/silver/gold). Clean, reconciled, traceable to source. Working version in 2–4 weeks, not 12 months. 2. Build on it. Custom ERPs and enterprise apps that replace the spreadsheets. Conversational BI where you ask questions in plain English. AI that knows your business because it's reading your data, not guessing. 3. You own all of it. Code, pipelines, models, data. No per-seat licenses, no vendor roadmap, no rent. What we deliver: • Data Unification & Engineering — migrations off legacy SQL/on-prem, medallion architecture on Azure, Fabric, Databricks or Snowflake • Rapid Application Development — full custom ERPs, WMS, field-service and production-planning apps; end-to-end from discovery to go-live • Next-Gen Business Intelligence — conversational analytics, forecasting, anomaly detection • Enterprise AI — RAG over private data, agentic workflows, quotation and knowledge tools, deployed in your cloud Fixed-scope ways to start: Data Consolidation QuickStart (2–6 weeks), AI Data Pipeline Observability (3–12 weeks), Digital Shift Handover for multi-shift operations. Industries: manufacturing, insurance, field services, logistics, energy, construction equipment, consumer products. Arguing about whose numbers are right? AI pilot stalled? That's usually a data problem. Book a discovery call at vitrin9.com.