Why choose APGAR for your Azure project?

Data should serve a purpose for business, for people, and for good reasons. Apgar began in Master and Reference Data Management and, from that trusted core, expanded to the full data ecosystem. Today, we help organizations turn cloud data into governed, scalable, AI-ready value.

We don’t just deploy technology. We make it matter, responsibly, scalably, and with purpose.

Microsoft AI Cloud Partner Program

As a participant in the Microsoft AI Cloud Partner Program, and with teams in France, Portugal, the USA, and Lebanon (plus a growing presence in Brazil), we combine strategic advisory with hands-on delivery. Our two-track approach keeps things practical and outcome-driven: Fast Track gets quick wins live fast; Apgar Pathfinder for Azure builds an actionable roadmap structured across three paths, Business Value, Data Foundations, and Data Platform so every initiative is aligned, trusted, and ready to grow.

Apgar Capabilities in Azure

Data Integration & Orchestration Scalable, hybrid data movement and transformation with governance tie-ins and monitoring.
Unified Data & AI Platform Microsoft Fabric implementations that unify engineering, analytics, BI, and automation on a governed lakehouse foundation.
Data Governance & Compliance Microsoft Purview rollouts for lineage, cataloging, classification, and policy enforcement across hybrid/multi-cloud estates.
MDM on Azure Standardized, containerized deployments and migrations (e.g., EBX) with security integration and rapid time-to-value — aligned to Fast Track and Pathfinder.
Ecosystem Interoperability Integration experience with SAP, Semarchy, TIBCO, Databricks, and more — so platforms, governance, and data products work as one.

Packaged Offers.

Fast Track Business Solutions - ApgarIA

ApgarIA applies Intelligent Agents (Agentic AI) and Generative AI to operations use cases like production scheduling, demand forecasting, and decision support — built to reduce costs, increase agility, and speed up planning.

Predictive Maintenance Accelerator — Anticipate failures, cut downtime, and reduce maintenance costs.
ApgarIA Production Planning & Scheduling — Optimize capacity and changeovers; boost throughput (proven at scale).
Automated Master Data Creation — Use AI to extract, enrich, validate, and publish master data.
Apgar AI Knowledge Assistant — Conversational access to critical knowledge across documents and data.

Fast Track - MDM & Data Management

Apgar EBX Cloud Accelerator – Rapid Deployment Edition

Pre-configured Docker images optimized for Azure accelerate EBX installation, configuration, and migration from on-prem to cloud. Impact: up to 85% faster deployment, lower migration risk, consistent governance, and quicker ROI.

Strategic Track - Apgar Pathfinder for Microsoft Azure

A focused engagement that defines a clear, actionable roadmap across three paths:

Business Value Path: Prioritize high-impact data & AI products/use cases.
Data Foundations Path: Governance, quality, privacy, MDM/RDM, and literacy.
Data Platform Path: Future-ready architecture to scale securely and efficiently.

Ecosystem advantage: We also deploy solutions from SAP, Semarchy, TIBCO, Databricks, and others on Azure, ensuring end-to-end interoperability.

Bernardo Dias picture

“We need a change, embracing what technology has to offer and putting it to good use. We had a very specific challenge to resolve, and the market has nothing suitable, nor efficient, nor user-friendly. APGAR understood our needs and delivered a solution to help our teams, our managers and our clients.”

Bernardo Dias Digital Operation System Director, Logoplaste

Key figures of the partnership

  • 8

    Microsoft Azure–certified professionals

  • 12

    months of recorded Azure deployments across 19 services

They trusted us.

Discover our assets.

Predictive Maintenance Solution image

Blog article

At 2 AM, the assembly line grinds to a halt. A critical machine has failed. Production is delayed, costs are skyrocketing, and teams scramble to diagnose the issue. If only they had known in advance—if only they had seen the warning signs [...]

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Blog article

Imagine a global organization struggling to track where its data resides, who has access to it, and whether it meets regulatory requirements. With data sprawled across multiple cloud environments and on-premises systems, ensuring governance and compliance [...]

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Blog article

Organizations today struggle with fragmented data platforms, leading to inefficiencies, limited AI adoption, and higher operational costs. Data is often spread across multiple systems, making it challenging to ensure consistency, governance, and real-time accessibility [...]

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Blog article

Your business just secured a major deal with a new international supplier. Contracts are signed. Deadlines are looming. But your teams are still scrambling to gather key details across PDFs, scanned documents, emails, and outdated spreadsheets [...]

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Blog article

Imagine a manufacturing plant facing a critical equipment failure. The technician, under pressure, scrambles to find the right maintenance procedure buried deep within hundreds of PDFs and manuals stored across different systems [...]

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Blog article

Organizations today are under increasing pressure to leverage data and AI to improve performance, agility, and innovation. Yet many face the same core challenges: Where do we start? What should we prioritize? How do we align technical capabilities with business value?

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Blog article

In today’s data-driven world, organizations struggle with fragmented data landscapes. Data exists across various cloud environments, on-premises systems, and third-party applications, making seamless integration a daunting task [...]

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