Power Your Enterprise with Fabric

Cyann designs and deploys unified Microsoft Fabric environments that bring together Data Engineering, Data Warehousing, and Analytics within a single governed platform.

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Trusted By

Our process

Modern Data Begins with Fabric

Microsoft Fabric brings your data together so teams can access trusted insights, improve decision making, and support AI driven innovation.

Unified Data

AI Acceleration

Secure Governance

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Core Services

Modern Data and AI Services on Microsoft Azure and Microsoft Fabric

Cyann delivers end-to-end Data, Cloud, and AI Services built on Microsoft Azure and Microsoft Fabric. Our focus is on measurable outcomes, operational stability, and platforms designed to scale with your business.

Advisory and Strategy

Stop guessing at your data roadmap. We align your business goals with a Fabric-first architecture, ensuring your technical foundation supports your long-term AI and analytics ambitions.

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Modernization and Migration

Cyann specializes in seamless Database Migration and Cloud Modernization, moving on premise or siloed cloud data into a high performance Microsoft Fabric environment with zero data loss.

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Fabric First Data Platforms

Cyann builds end-to-end Data Warehouse and Data Engineering platforms natively on Microsoft Fabric, ensuring high availability, performance, and a single source of truth for every department.

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Analytics and AI Enablement

Turn data into action. Cyann transforms complex datasets into intuitive Power BI dashboards and automated workflows using Power Automate, enabling teams to make data driven decisions in real time.

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Generative AI

Transform workflows with enterprise ready AI Platforms and LLM integrations. We help organizations leverage Microsoft Copilot to automate document processing, customer service workflows, and internal knowledge discovery.

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Machine Learning

Move beyond historical reporting. Cyann data scientists build custom Machine Learning models for predictive analytics, demand forecasting, and anomaly detection tailored to your industry.

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Our Process

How We Partner for Successful Delivery

Cyann helps enterprises turn Microsoft Fabric into a production ready Data and AI Foundation, enabling trusted data, responsible AI, and decision intelligence that scales across teams and use cases.

Discovery and Assessment

Understand business goals, platform constraints, and delivery challenges.

Strategy and Design

Define architecture standards, governance models, and delivery roadmaps.

Delivery and Optimization

Implement platforms in production and continuously improve reliability and performance.

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Trusted by organizations driving real AI outcomes

Jeff Page

Atlantic Corporation of Wilmington

Overall Engagement Satisfaction ★★★★★

“Cyann did a fantastic job of understanding our business initiatives and identifying where AI could drive meaningful value. The proof of concept they delivered was tightly aligned with our discussions, and it was clear they were thoughtful about both the business outcomes and the practical implementation details.

Communication was consistent and proactive throughout, and the team was collaborative, responsive, and easy to work with.

I would absolutely recommend Cyann to any organization looking for a strong partner to help shape and validate an AI initiative.”

Fabric Partner

Microsoft Fabric Partner Experience

Cyann works as a Microsoft Fabric Partner to design and deliver Data and AI platforms that meet enterprise requirements for performance, security, and governance.
Our focus is on how Microsoft Fabric is implemented, integrated, and operated across complex enterprise delivery environments.
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Our engineering team holds more than 100 Microsoft certifications across Azure, Data Engineering, Analytics, and AI, reinforcing Cyann’s ability to architect, deploy, and operate enterprise grade data platforms built on Microsoft technologies.
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This depth of certification ensures organizations work with specialists who understand both the architecture and the operational realities of modern data platforms.

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