What We Do

Services

Six areas of expertise, each built around a problem worth solving on Azure — not a generic list of technologies.

01
Core Expertise

AI Agents & Intelligent Automation

Problem

Teams are drowning in manual review — call transcripts, documents, tickets, forms — while the knowledge that used to make sense of it all lives only in people's heads.

Solution

We design and ship production AI agent systems on Azure that read, summarize, verify, and route work automatically, with human oversight and a full audit trail built in from day one.

  • Azure AI Agents & Azure AI Projects for structured summarization, classification, and decisioning
  • Document intelligence: structured data extraction from calls, contracts, forms, and transcripts
  • Internal knowledge assistants (RAG) grounded in your own content
  • Real-time event processing and durable orchestration (WebSocket, Durable Task / Functions)
  • Human-in-the-loop guardrails, outcome taxonomies, and audit logging for compliance-sensitive workflows
  • Built on Azure OpenAI and Azure AI Services, inside your own tenant — no training on your data
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02
Core Expertise

Data Platforms & Analytics

Problem

Data is locked inside legacy databases and spreadsheets, so reporting is slow, numbers don't reconcile, and nobody fully trusts the dashboard.

Solution

We architect governed, scalable data platforms that turn scattered legacy data into a single source of truth the business can report on with confidence.

  • Medallion architecture (Bronze / Silver / Gold) on Azure Synapse Analytics and Microsoft Fabric
  • Azure Data Factory pipelines for legacy extraction, transformation, and business-rule reverse engineering
  • Data warehouse modeling: fact tables, SCD Type 1 & 2 dimensions for historical reporting
  • Azure Cosmos DB for high-scale NoSQL and change-feed-driven architectures
  • Power BI reporting that replicates and modernizes critical financial and operational reports
  • High-volume IoT and telemetry ingestion pipelines
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03
Core Expertise

Cloud-Native App Engineering

Problem

Your application can't scale to meet demand, and every release feels like a gamble instead of a routine event.

Solution

We design and build cloud-native systems on Azure PaaS that scale predictably and ship safely, release after release.

  • Microservices on Azure Container Apps, Azure Functions, and Azure Kubernetes Service
  • .NET 8 / C# engineering with SOLID, DDD, CQRS, and event-driven architecture
  • Real-time processing: WebSocket / SignalR, durable orchestration, event-driven pipelines
  • REST API design and integration with third-party platforms and CRMs
  • Built for scale from day one, with explicit uptime and latency targets defined up front
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04
Core Expertise

Legacy & Platform Modernization

Problem

Critical systems run on aging infrastructure, and every workaround added over the years carries more risk than the last.

Solution

We modernize legacy platforms onto Azure PaaS incrementally — preserving what works while removing the risk that's been quietly accumulating.

  • SQL Server to Azure SQL Managed Instance / Azure Cosmos DB migrations
  • SSIS to Azure Data Factory pipeline conversion
  • Very large database (multi-terabyte) performance analysis, restructuring, and long-term optimization planning
  • Legacy integration re-architecture onto modern Azure integration services
  • Incremental migration patterns that keep the business running throughout the transition
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05
Core Expertise

Security, DevOps & Observability

Problem

Compliance reviews stall the roadmap, deployments are still manual, and nobody can see what's happening in production until something breaks.

Solution

We build security, automation, and observability into the platform itself, so compliance and reliability stop being separate projects bolted on at the end.

  • Identity & access: Entra ID, RBAC, PIM/JIT, Conditional Access, Key Vault-managed secrets
  • Infrastructure as Code with Bicep, and CI/CD pipelines via Azure DevOps and GitHub Enterprise
  • SOC 2-aligned security postures for regulated and compliance-sensitive systems
  • Full observability stack: Application Insights, Azure Monitor, OpenTelemetry, distributed tracing
  • GitOps and DevSecOps practices integrated directly into the delivery pipeline
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06
Core Expertise

Integration & Enterprise Systems

Problem

Core systems don't talk to each other, so data gets re-entered by hand and errors slip through the cracks between them.

Solution

We design integration layers that connect your core systems reliably, so data moves automatically and correctly the first time.

  • Azure Service Bus, Event Grid, Event Hub, and Logic Apps for event-driven integration
  • Azure API Management for governed, secure API exposure
  • Durable Functions for long-running, stateful orchestration
  • Batch and real-time integration patterns across CRM, ERP, and core platforms
  • Change-feed and message-driven architectures for near-real-time system sync
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Not sure which of these fits?

Tell us about the problem, and we'll tell you honestly whether — and how — we can help.

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