Full-spectrum Azure development services with built-in AI capabilities
We combine .NET, Azure Functions, App Service, Cognitive Services, and Synapse Analytics to build secure, scalable cloud solutions with AI at their core.
Whether you're launching a new product or modernizing legacy systems, our team brings deep Microsoft Azure development expertise.
Why develop Microsoft Azure solutions?
Azure offers native interoperability with Microsoft products like Active Directory, Office 365, Power Platform, and Dynamics 365, enabling faster authentication, user provisioning, and unified governance across enterprise environments.
From Azure App Service and Functions to API Management and Logic Apps, Azure’s platform services accelerate cloud-native development with built-in scaling, monitoring, and CI/CD integration.
Azure operates in 60+ regions with 100+ compliance certifications, making it easier to meet data residency requirements and regulatory standards across financial, healthcare, and public sectors.
Azure provides industry-leading hybrid capabilities through services like Azure Arc, Stack, and Site Recovery, allowing consistent development and deployment across on-premises, multicloud, and edge locations with unified control.
Built-in integration with Azure Active Directory enables fine-grained access policies, conditional access, and multi-tenant federation, streamlining enterprise-grade authentication and compliance.
Azure DevOps, GitHub Actions, Visual Studio, and Azure CLI offer a streamlined development experience with out-of-the-box support for automated builds, releases, and infrastructure as code, reducing context-switching and tooling fragmentation.
Azure development services for scalable, secure, and future-ready solutions
From lightweight serverless APIs to complex analytics pipelines and AI-powered applications, we help you design, build, and run software using Microsoft Azure’s most powerful tools. Our team works across compute, storage, networking, data, and AI layers to deliver scalable, secure, and future-proof cloud solutions.
Deploy apps using Azure App Service, Static Web Apps, or Container Apps with autoscaling, load balancing, and zero-downtime updates.
We configure automated builds, tests, and deployments using Azure DevOps or GitHub Actions to streamline releases.
We optimize web performance and availability with intelligent traffic routing, edge acceleration, and region-specific load balancing.
Secure applications using Azure Key Vault, Managed Identity, and role-based access controls with full compliance support.
Build native mobile apps for iOS and Android from a single codebase using .NET MAUI, integrated with Azure Functions and B2C authentication.
Our team builds mobile backends with Azure App Services, SignalR, and Notification Hubs to support real-time communication and push notifications.
We implement crash reporting, UI testing, and analytics with Azure App Center to improve stability and usability across mobile devices.
Automate build and deployment workflows with GitHub Actions or Azure Pipelines for rapid iteration and continuous delivery.
Our engineers deliver scalable APIs and microservices with ASP.NET Core hosted on Azure App Service or AKS.
Implement Azure Active Directory, OAuth, and managed identities for secure authentication and authorization.
We connect distributed systems using Azure Service Bus, Event Grid, and Logic Apps for event-driven communication.
Automate code quality checks, deployment stages, and rollback strategies using Azure DevOps or GitHub Actions.
Our data engineers build ETL pipelines using Azure Data Factory to integrate and transform data from diverse sources.
Stream and analyze data using Azure Stream Analytics, Synapse Analytics, and Power BI to support instant insights.
We design secure and efficient storage solutions with Azure Data Lake Storage Gen2 and Blob Storage.
Apply access control, lineage tracking, and encryption using Azure Purview, Azure Policy, and Key Vault.
Our team enables fast prototyping using Cognitive Services for speech, vision, and text analysis.
We train, deploy, and manage models with Azure Machine Learning Studio, notebooks, and AutoML pipelines.
Embed AI features into apps using REST APIs, Azure Functions, or Logic Apps for seamless interactions.
We build intelligent agents using Azure OpenAI, Cognitive Search, and Azure Functions to automate reasoning, conversation, and decision-making. These agents can be orchestrated via Logic Apps or custom workflows to handle complex tasks across domains and systems.
We develop serverless functions that auto-scale with HTTP triggers, queues, or blob storage for efficient backend processing.
Our engineers use Logic Apps to build automated workflows across APIs, SaaS platforms, and legacy systems.
Secure and monitor APIs with Azure API Management, including throttling, key management, and transformation rules.
Enable real-time insights using Azure Monitor and Application Insights to track performance and detect anomalies.
Our developers containerize applications using Docker and manage images with Azure Container Registry.
Deploy and scale applications in AKS with integrated monitoring, secrets management, and rolling deployments.
We configure templated, environment-specific deployments using Helm charts, Kustomize, and ConfigMaps.
Ensure system health and alerting with Azure Monitor, Prometheus integrations, and log-driven diagnostics.
Key Azure technologies we build with
From foundational services to advanced AI and analytics, we work with the most effective components of the Azure ecosystem to build scalable, intelligent, and cloud-optimized applications. Each technology in our stack is selected for its ability to support rapid development, seamless integration, and long-term maintainability across modern software architectures.
On the lookout for a proven Azure development services partner?
We’re ready to bring technical clarity and cloud-native execution to your project.
Clients about our cooperation
See what our clients say about the way our team helped them leverage their business potential.
They don’t just write code, they think through projects to make sure they find the best solution. Because of their thorough researching processes, their deliverables consistently exceed expectations.
Michael Rodriguez
CEO, InnovateTech Solutions
We are happy to share our thoughts on how professional, committed, and flexible CIGen is. The team we have worked with is always respectful and organized. Listening is one of their biggest strengths, as every time we present an idea for improvement we receive many suggestions for its realization.
Justas Beržinskas
Co-Founder at Kloogo
Working with the CIGen team is a rewarding and satisfying experience. Professionally, they are smart experts committed to understanding your needs and bringing to life what you are looking for. I think they are warm and welcoming people. I am looking forward to working again with the CIGen team.
Andreas Mildner
Co-Founder and Manager at GenieME
We have been working with CIGen for a few years. Our close cooperation brings significant value and result. They think from a business perspective, meet time-lines and budget. We have completed several projects and continue working together. Happy to recommend!
Michael Nilsson Pauli
CEO & Co-founder at Kodexe
The team addresses concerns promptly and generally completes tasks on time. Moreover, they pay close attention to the client’s needs. They work hard and take ownership of their tasks, resulting in a truly smooth collaboration.
Nandu Majeti
CTO at Rocktop Technologies
CIGen delivered a high-quality coded mobile app, which satisfied our requirements. They communicated daily and asked only relevant questions to identify the key to the project development. We were impressed with their expertise.
Alexander Schultz
CEO at Third Act
Thanks to CIGen, we reduced our technical debt and received ample support for their strategic technical initiatives. The team has a great project management approach and always aims to improve their partnership with us. Moreover, their members are proactive and highly skilled.
Karl Otto Aam
CTO at Skytech Control
Azure development tools
CIGen perfects partners' projects with
Compute
Azure App Service – Scalable web hosting for .NET, Node.js, Python, and Java apps
Azure Functions – Serverless compute for event-driven logic
Azure Kubernetes Service (AKS) – Managed container orchestration with integrated monitoring
Azure Container Instances – Lightweight container hosting for microservices and jobs
Azure Batch – Parallel compute for large-scale batch processing
Databases & storage
Azure SQL Database – Fully managed relational database with built-in HA
Cosmos DB – Globally distributed NoSQL database with low-latency reads/writes
Azure Table Storage – Key-value storage for semi-structured data
Azure Blob Storage – Object storage for unstructured data at scale
Azure Data Lake Storage Gen2 – Hierarchical storage optimized for analytics
Networking & performance
Azure Virtual Network (VNet) – Isolated networks with secure service connectivity
Azure Front Door – Global HTTP load balancing and edge acceleration
Azure CDN – Content delivery with geo-distribution and caching
Azure Application Gateway – Application-level routing and WAF integration
Azure ExpressRoute – Private, high-bandwidth connections to on-prem infrastructure
DevOps & developer tools
Azure DevOps – CI/CD pipelines, boards, repos, and artifact management
GitHub Actions – Workflow automation with native Azure integration
Azure CLI & Bicep – Infrastructure provisioning and management via code
Visual Studio & Visual Studio Code – IDEs with built-in Azure SDKs and deployment support
Azure API Management – Secure, govern, and monitor internal and external APIs
AI & ML
Azure Cognitive Services – Pretrained APIs for vision, language, and speech
Azure OpenAI Service – LLM-powered agents and generative AI apps
Azure Machine Learning Studio – End-to-end ML lifecycle management
Azure Cognitive Search – AI-powered enterprise search with semantic ranking
Bot Framework & Bot Services – Intelligent agent development with NLP and dialog flows
Analytics & integration
Azure Synapse Analytics – Unified analytics across data lakes and warehouses
Azure Data Factory – Code-free and code-based ETL/ELT orchestration
Azure Stream Analytics – Real-time event ingestion and transformation
Power BI Embedded – Data visualization embedded into apps
Azure Logic Apps – Workflow automation between services and platforms
Monitoring & security
Azure Monitor – End-to-end observability for applications and infrastructure
Application Insights – Performance and usage analytics for web apps
Azure Key Vault – Secrets, certificates, and key management
Azure Defender for Cloud – Threat detection and posture management
Azure Policy & Blueprints – Governance enforcement and compliance templating
IoT & edge development
Azure IoT Hub – Centralized device communication, provisioning, and management
Azure Digital Twins – Spatial modeling and simulation of physical environments
Azure IoT Edge – Local compute, ML, and logic deployment on edge devices
Azure Time Series Insights – Scalable storage and visualization for sensor data
Azure Sphere – Secure MCU platform for embedded IoT devices
Hybrid & edge infra
Azure Arc – Manage Kubernetes clusters, servers, and databases across environments
Azure Stack HCI – Hyperconverged infrastructure for running Azure services on-prem
Azure Stack Hub – Full-stack Azure services in disconnected or regulated environments
Azure Site Recovery – Disaster recovery and cross-region failover
Azure Automanage – Configuration, patching, and backup for hybrid workloads
AI enablement on Azure: Bring intelligence into your software
Azure provides a production-ready environment for embedding AI into your systems, whether you're enhancing user interfaces with computer vision, enabling smarter decisions with NLP, or building fully orchestrated AI agents. We help you take full advantage of Azure’s cognitive APIs, OpenAI models, and ML infrastructure to create intelligent, context-aware, and scalable applications.
Delivering secure, cost-efficient, and future-ready Azure solutions
We engineer cloud-native applications that endure, evolve, and optimize over time.
Our approach combines Azure-native best practices with an automation-first mindset and a commitment to ongoing technical mastery.
From security and compliance to performance and cost efficiency, we build solutions you can confidently rely on today and in the future.
We design resource-aware architectures that use PaaS services, autoscaling rules, and consumption-based pricing to reduce cloud overhead.
Our engineers regularly review workloads, optimize storage tiers, and implement right-sizing strategies. As a result, you get lean, maintainable systems that support growth without runaway costs.
Our team continuously trains on the latest Azure releases, earning Microsoft certifications across cloud engineering, DevOps, AI, and security. This ensures you benefit from current tools and architectural patterns, from containerized environments to the newest AI integrations.
You’re always backed by expertise that evolves with the platform.
We follow Azure security best practices and implement role-based access control, encryption at rest, network isolation, and policy enforcement from day one.
Our development processes align with ISO 27001 principles, and we use tools like Microsoft Defender for Cloud and Azure Key Vault to protect your data throughout the lifecycle.
From CI/CD pipelines to infrastructure-as-code provisioning and auto-healing services, our delivery model prioritizes automation and operational resilience.
We build systems that adapt to change, whether that means deploying new features weekly or integrating AI agents into your existing stack.
A tried-and-tested onboarding process for a seamless start
Our onboarding process is engineered to move fast without skipping critical steps. From the initial call to contract finalization and team integration, we ensure each phase is transparent, structured, and handled with care, so you can move into delivery with confidence.
We discuss your goals, challenges, and technical needs in a short discovery call, helping both sides determine mutual fit and initial scope alignment.
Our team reviews your tech stack, architecture, and timeline to prepare a tailored delivery model and estimate, whether you need staff augmentation or end-to-end ownership.
If the engagement includes dedicated developers or team extensions, we introduce shortlisted engineers for technical interviews and cultural fit validation.
We submit a detailed proposal outlining roles, delivery approach, timeline, pricing, and compliance terms for your internal review and sign-off.
Once approved, we prepare the master services agreement (MSA), NDAs, and scope-specific work orders with clear deliverables, SLAs, and responsibilities.
We send the initial invoice and handle all formal onboarding steps, Azure environment access, credentials, workspace tools, and communication setup.
We hold a kickoff session with your stakeholders and our delivery team to align expectations, finalize sprint planning, and launch the first phase of execution.
Azure development services FAQ
We aim to supply our clients with exhaustive information about the way we engage in partnership for ease of doing business and transparency. We’ve collected a few facts that help you understand our processes.
Azure consulting and development services serve different stages and goals in your cloud journey. Here's how they differ:
- Purpose: Consulting focuses on strategy, assessment, and planning; development focuses on building, deploying, and maintaining applications
- Engagement stage: Consulting usually precedes development and defines the architectural roadmap
- Output: Consulting delivers audits, cloud migration plans, compliance guidance, and cost optimization strategies; development results in working software and infrastructure
- Roles involved: Consultants include architects, security experts, and strategists; developers include engineers, DevOps, testers, and UX specialists
- Tool usage: Consultants may use Azure Migrate, Advisor, and Well-Architected tools; developers rely on App Service, AKS, Azure DevOps, and CI/CD
- Duration: Consulting is typically short-term and high-level; development is long-term and execution-focused
- Client goals: Consulting helps define what should be done; development delivers how it’s done
Azure development services cover the full lifecycle of building cloud-native applications using Microsoft Azure. Key service areas include:
- Web application development using Azure App Service and Container Apps
- Mobile development with .NET MAUI and Azure App Center
- Serverless and API development via Azure Functions and API Management
- Data and analytics solutions using Data Factory, Synapse, and Power BI
- AI and ML integration through Azure OpenAI, Cognitive Services, and ML Studio
- Containerized microservices deployed via Azure Kubernetes Service (AKS)
- IoT and edge application development with Azure IoT Hub and Digital Twins
These services focus on building and integrating cloud-ready software on the Azure platform.
To develop AI-powered agents on Azure, you can combine:
- Azure OpenAI for reasoning, text understanding, and instruction following
- Cognitive Search to ground agent responses in structured company data
- Azure Functions and Logic Apps for workflow execution and API integration
- Azure Cosmos DB or Blob Storage to manage agent context and memory
Azure App Service is a PaaS offering for hosting web apps, APIs, and backends.
It’s ideal when you need:
- Quick deployment of .NET, Node.js, Python, or Java apps
- Built-in load balancing, autoscaling, and SSL support
- Seamless integration with GitHub, Azure DevOps, and containers
- Enterprise-grade SLAs and secure networking options
Azure supports multiple AI enablement models, tailored to different project needs:
- Third-party AI services: Use pretrained models like Azure Cognitive Services (vision, speech, language, decision)
- Custom AI models: Train and deploy your own models via Azure Machine Learning Studio or Azure Databricks
- Data-powered enablement: Integrate internal datasets with AI using RAG pipelines, Cognitive Search, and Azure Data Factory for dynamic insight generation
Azure offers multiple tools and strategies to reduce and control cloud spending:
- Use Azure Advisor for automated cost-saving recommendations
- Right-size compute resources with autoscaling and reserved instances
- Choose serverless models like Azure Functions for variable workloads
- Apply storage tiering (hot, cool, archive) in Azure Blob Storage
- Monitor usage and budgets with Azure Cost Management + Billing
Azure OpenAI enables developers to integrate advanced language models like GPT-4 into applications for tasks such as:
- Natural language understanding and summarization
- Code generation and review
- Conversational interfaces (chatbots and copilots)
- Content creation and semantic search
- Workflow automation and intelligent agent behavior
Let’s build future-ready solutions on Azure - designed for your goals and backed by our engineering expertise
