Every AI initiative begins as a data engineering project. We deliver both.
Your data platform modernization needs a partner who's designed medallion architectures on Fabric — not a generalist who's reading the documentation alongside your team. Your AI initiative needs an architect who's shipped production RAG systems and can tell you which use cases will fail before you invest six months. Xylity provides consulting-led technology expertise anchored in Data Engineering and AI, expanding into cloud, Microsoft platform, and enterprise applications. 20+ domains. 22 industries. Solutions designed, built, and delivered — not just recommended.
Why most technology partnerships underdeliver
You've hired the big consulting firm. Their proposal was impressive — 40 slides, three partners in the room. Then the senior architect who sold you disappears after kickoff, replaced by a team of juniors who ask your engineers to explain the data model. Six weeks in, you're behind schedule, over budget, and the "strategic roadmap" is a repackaged vendor whitepaper. The cost isn't the consulting fee. It's the quarter you lost, the board credibility you spent, and the fact that you're now further behind than when you started.
Xylity works differently. We don't send a sales team and then swap in a delivery team you've never met. The practitioners who scope your engagement are the practitioners who deliver it — or who personally select and oversee the specialists who do. Every engagement starts with your architecture, your data landscape, your industry constraints. A Fabric engagement begins with your current data estate, not a generic migration playbook. An AI engagement starts with your data readiness assessment, not a chatbot demo.
The result: Solutions that work the first time because they were designed by practitioners who've delivered them before — in your industry, on your stack, at your scale. Not theory. Not frameworks adapted from a different industry. Delivery experience applied to your specific challenge.
These aren't service descriptions. They're conversations enterprises start with us.
Data Platform Modernization
Lakehouse architecture on Microsoft Fabric or Databricks. Migration planning. Medallion architecture. Governance frameworks.
Data Engineering Services →AI Strategy & Implementation
AI strategy tied to data readiness. LLM applications. RAG implementation. Enterprise agents. MLOps. Strategy to production.
AI Consulting Services →Cloud Architecture & Migration
Cloud architecture on Azure or AWS. Landing zones. Networking, security, governance. Migration at scale with infrastructure automation.
Cloud & DevOps Services →Analytics & BI Governance
Governed Power BI semantic models. Single source of truth. Self-service analytics with guardrails.
Analytics & BI Services →Microsoft Platform & Copilot
Microsoft Platform strategy. Dynamics 365, Power Platform CoE, Copilot readiness, SharePoint governance.
Microsoft Platform Services →Enterprise Applications
Platform-agnostic evaluation. Salesforce, Dynamics 365, Business Central, SAP. The consultants who've deployed both and recommend honestly.
Enterprise Application Services →Solutions designed for your industry — not adapted to it.
A data platform for a hospital looks nothing like one for a bank. Our consulting teams bring named-industry experience — HIPAA, Basel III, SOX, FERPA, PCI-DSS — so the solution is right the first time.
From first conversation to deployed expertise
Architecture Discovery
Your technology landscape, team structure, business objectives. What are you solving? On what stack? In what industry?
Solution & Sourcing
Domain experts scope the engagement and source from 200+ pre-qualified partners. Consulting-led selection for your architecture.
Scenario Evaluation
Real scenarios from your domain. Design this Fabric lakehouse. Debug this Spark pipeline. Architect this RAG system.
Engagement Start
You interview. You decide. SOW-based with clear deliverables. Delivery manager as your safety net from day one.
Data + AI depth. Full-stack breadth. Consulting-led delivery.
Domains — Data + AI deepest
Fabric lakehouses, RAG pipelines, Databricks Delta Live Tables, Azure OpenAI agents. One partner for the full stack — every data project naturally expands into AI, analytics, and applications.
Industries with domain expertise
We start with your industry's constraints — regulations, processes, specific pain points — and build from there. That's why solutions work the first time.
First-match acceptance rate
Consulting-led matching evaluates for your specific context — not just "knows Fabric." Scenario assessment. Domain expertise. Architecture fit.
Your data + AI challenge
deserves domain expertise.
Tell us the problem — the technology, the industry, the timeline. No pitch deck. Just a 20-minute conversation about what you're trying to solve.