Azure Consulting Services for Data, AI, and Software Modernization
Design, build, and operate Microsoft Azure environments that hold production load. STX Next combines 500+ engineers and 20 years of Python expertise to deliver real-time data platforms, agentic AI, and system modernizations with Azure consulting services
STX Next: Your Partner in Azure Consulting Services and Cloud Solutions
STX Next delivers end-to-end Azure consulting services and modern cloud platforms tailored for mid-market and enterprise organizations operating in regulated environments, including manufacturing, finance, oil & gas, and insurance. We develop production-ready Microsoft Azure environments across three core capability areas: data engineering, generative and agentic AI, and software modernization. Backed by 500+ engineers and 20 years of Python expertise, our cross-functional teams help businesses scale securely without taking on infrastructure debt.
- Production-proven scale: Architectures built for high-load operational environments, including an Azure Data Explorer platform processing over 100 million telemetry records daily across 11 production sites.
- Full-stack cloud delivery: Data lakehouse builds, agentic AI workflows, and software refactoring combined under one engineering team to eliminate vendor stitching.
- De-risked engagement model: Working proofs of concept delivered on real enterprise data in 6 to 8 weeks, validating technical feasibility and ROI before committing to a full build.
- Verified standards and credentials: ISO 27001 certified security processes, Microsoft Purview and Entra ID governance built into every pipeline, and four Azure platforms running in production across chemicals, industrial gases, lending, and professional services.
Azure Capabilities at a Glance
Scope of Azure Services
As an Azure development company, we cover three distinct core disciplines. Our cross-domain teams design and deploy every layer directly to production, avoiding idle prototypes or slide-deck architectures.
Azure Data Engineering & Lakehouse Architectures
We build the ingestion, storage, and processing infrastructure required for operational analytics and AI workloads.
- Unified Lakehouse Build: Centralize scattered enterprise data (SAP, SCADA, and operational systems) into a governed source of truth on Azure. Architected natively with Databricks or Snowflake integrated where needed, backed by Purview and Unity Catalog governance.
- Real-Time Telemetry Processing: Ingest high-velocity IoT streams using Azure Event Hub and Azure Data Explorer. Execute live transformations, metric calculations, and visualization within the query engine without maintaining a separate ETL tier.
- Serverless Ingestion Pipelines: Deploy high-volume ingestion pipelines built on Azure Data Factory and Azure Functions. Pipelines feature version control, automated quality verification, and full Terraform management.
- Enterprise Analytics Environments: Configure secure data lakes and analytics platforms using Azure Synapse and Microsoft Fabric for consolidated business intelligence.
Generative & Agentic AI on Azure
We construct production AI systems that execute operational work within enterprise security boundaries.
- Knowledge Discovery Engines (RAG): Build retrieval-augmented generation systems using Azure OpenAI and Azure AI Search. Instantly query thousands of unstructured PDFs, equipment manuals, and safety logs in multiple languages while respecting existing access controls.
- Autonomous Agentic Workflows: Develop custom AI agents designed to read logs, cross-reference telemetry against baseline metrics, update core systems (such as SAP or Jira), and draft compliance filings.
- Managed AI Delivery Pods: Deploy cross-functional engineering pods combining machine learning, prompt engineering, backend development, and vector databases (PostgreSQL with pgvector) to validate feasibility fast.
Azure Software Modernization & Integration
We decouple legacy architectures and rebuild them as modular Azure web applications and services.
- Legacy Decoupling & Refactoring: Transition tightly coupled systems into modern, web-based applications on Azure infrastructure to allow rapid changes without system-wide side effects.
- API Management & Microservices: Deploy Azure API Management alongside secure microservices to create a resilient integration layer that shields core business logic from localized changes.
- Identity & Access Governance: Integrate applications with Microsoft Entra ID (Azure Active Directory) for role-based access control, federated OIDC/SAML authentication, and complete audit trails.
Industry-Tailored Cloud Solutions
With service delivery centers in Europe and North America, we modernize legacy systems into scalable, cost-effective infrastructures, enhancing the security, performance, and flexibility of your Azure environment.
Finance & Insurance
Compliant, secure, and data-driven architectures for Insurance, Banking, and Finance. One of our core services is the modernization of claims management systems with a scalable microservices architecture on Microsoft Azure. This approach enables real-time policy validation and automated workflows.
Industrials & Manufacturing
IoT and cloud analytics modernize Chemical, Automotive, and Manufacturing operations. The migration of infrastructure from on-premises servers to Azure ensures high service availability and data resilience.
Energy & Oil and Gas
Cloud-native data platforms, predictive analytics, and AI-ready solutions that unify operations, optimize assets, and drive resilience across upstream to downstream energy workflows.
AdTech & MarTech
Marketing and advertising platforms with scalable cloud architectures, unified data foundations, and AI-powered personalization to boost insights, performance, and growth.
Your Trusted Partner inAzure Development Services
Cloud solutions, alongside AI development and data engineering, form the core of STX Next’s expertise and strategic focus. By continuously investing in our team's skills and strategic partnerships, we give our clients the expertise and support they need. We could talk a lot about this… But let our work speak for itself.
Industrial Telemetry at 100 Million Records Daily
Client: Major US Chemical Manufacturer
Challenge: High-frequency asset sensor data overwhelmed traditional data warehouses, preventing real-time maintenance intervention.
Solution: Built an Azure Data Explorer and Azure Event Hub ingestion platform that processes, aggregates, and analyzes telemetry directly within the query engine.
Impact: Handled 100M+ records per day across 11 production sites, cut unplanned downtime by 20%, and eliminated the licensing overhead of a separate ETL stack.
Tech Stack: Azure Data Explorer, Azure Event Hub, Python, Azure Machine Learning.
Chemical & Industrial Manufacturing
Chemical Industry
Enterprise Knowledge Discovery & Document Intelligence
Client: Linde
Challenge: Critical operational manuals and policy documents were distributed across legacy systems, requiring hours of manual searching.
Solution: Implemented a secure RAG assistant built on Azure OpenAI that queries global policy PDFs and technical documentation.
Impact: Delivered instant, source-cited answers across multiple languages while ensuring proprietary corporate data remained strictly isolated within the cloud tenant.
Tech Stack: Azure OpenAI, Azure AI Search, Secure Azure Tenant Hosting, Multilingual NLP.
Digital Mortgage Lifecycle Platform
Client: Specialist Mortgage Lender
Challenge: Fragmented tools slowed down broker operations, loan underwriting, and management reporting.
Solution: Engineered a digital-first lending platform featuring a dedicated broker portal, automated underwriting integrations, an affordability engine, and an Azure data lake.
Impact: Reduced turnaround times and centralized operational metrics into a single source of truth for business intelligence.
Tech Stack: Azure Data Lake, Python, REST APIs, Web Portal Infrastructure.
Transfer Pricing Compliance Automation
Client: Global Audit, Tax & Advisory Firm
Challenge: Legacy web systems introduced manual data handling risks into client compliance processes.
Solution: Rebuilt the legacy software into an Azure collaboration platform with customizable templates, role-based access controls, and full change tracking.
Impact: Automated report generation, reduced human error, and created audit-ready compliance tracking.
Tech Stack: Azure, .NET, Angular, PostgreSQL, Microsoft Entra ID.
Our 5-Step Azure Delivery Model with Real Data Proof in 8 Weeks
Cloud initiatives fail when spending outpaces proof. Within 6 to 8 weeks, we test working software against your actual enterprise data, giving you concrete cost benchmarks and proven performance before you scale your investment.
Discovery & Azure Assessment
We map your workloads, data flows, security constraints, and cloud spend. You receive a clear technical assessment, workload inventory, and costed remediation roadmap.
Architecture & Planning
We design the target Azure architecture, select exact services, and define dependencies alongside a stakeholder-ready execution plan.
Proof of Concept
We build a functional system connected to your real data sources. You evaluate actual performance benchmarks, operational cost projections, and a clear go or no-go decision.
Implementation & Validation
Delivered in 2-week sprints using Infrastructure as Code (Terraform) and CI/CD pipelines. New services run alongside existing infrastructure until output is fully validated.
Handover & Support
We transition fully documented infrastructure, runbooks, and monitoring dashboards to your team. You own all source code and IP. Continued managed support and cost optimization remain available as options.
Let's talk
Schedule a chat with Director of Cloud and one of our senior engineers to discuss your Azure needs.
FAQ
What Azure consulting services does STX Next provide?
STX Next provides Azure services across three primary areas: data engineering and lakehouse architectures, generative and agentic AI, and software modernization. Technical implementations include Azure Data Explorer, Event Hub, Data Factory, Synapse, Microsoft Fabric, Azure OpenAI, Azure AI Search, API Management, and Entra ID.
How does STX Next prove its Azure experience at scale?
STX Next operates production workloads handling high volume. For example, our team designed and built an Azure Data Explorer platform processing over 100 million telemetry records per day across eleven industrial sites, cutting unplanned downtime by 20%.
What is the typical timeframe for an Azure project?
Assessments require 1 to 2 weeks, and a working Proof of Concept on real data takes 6 to 8 weeks. Production builds and modernizations generally take 3 to 6 months depending on legacy application complexity.
How do you approach AI and machine learning on Azure?
We build retrieval-augmented generation (RAG) systems and autonomous agents using Azure OpenAI and Azure AI Search. Engagements begin with a 6 to 8 week Proof of Concept on client data to demonstrate measurable performance before committing to full production builds.
Can STX Next collaborate with our existing in-house team?
Yes. Our engineers regularly co-develop alongside internal client teams. We enforce Infrastructure as Code (Terraform), version-controlled pipelines, and comprehensive documentation to ensure seamless knowledge transfer.
How are security and compliance managed on Azure?
As an ISO/IEC 27001 certified organization, STX Next builds governance directly into application pipelines. This includes Microsoft Purview for data classification, Entra ID for role-based access control, federated authentication, and change-tracking audit logs.
Is STX Next a Microsoft partner?
STX Next is a member of the Microsoft AI Cloud Partner Program. More useful than the designation is what we run in production: an Azure Data Explorer and Event Hub telemetry platform handling over 100 million records a day across 11 sites, a secure RAG assistant on Azure OpenAI for Linde, an Azure data lake underpinning a digital lending platform, and a compliance automation platform on Azure with Entra ID access control. Our engineers work across Azure Data Factory, Synapse, Microsoft Fabric, Azure AI Search, and API Management, and we build to ISO 27001 processes.
Do you only work on Azure?
No. STX Next is an AWS Advanced Tier Services Partner with 49 active AWS certifications alongside our Azure practice. That matters when you are choosing an architecture rather than defending one: our recommendations on where a workload should run are not tied to a single vendor's licensing. If your estate is hybrid or you are weighing Azure against an existing AWS footprint, we can assess both honestly.
Azure consulting services with STX Next
STX Next is an Azure consulting services provider working with mid-market and enterprise organizations in manufacturing, finance, insurance, and energy.
We design, build, and run production Microsoft Azure environments across three areas: data engineering and lakehouse architectures on Azure Data Explorer, Data Factory, Synapse, and Microsoft Fabric; generative and agentic AI on Azure OpenAI and Azure AI Search; and software modernization with Azure API Management and Microsoft Entra ID.
Our Azure work runs at production scale, including a telemetry platform processing over 100 million records a day across 11 sites and a 20% reduction in unplanned downtime.
Engagements start with a 2-week environment assessment and a working proof of concept on your real data in 6 to 8 weeks, so you see cost and performance evidence before committing to a full build.
Backed by 500+ engineers, ISO 27001 certification, and Microsoft AI Cloud Partner Program membership, we hand over documented infrastructure, runbooks, and full IP ownership to your team.
