Applications Built Alongside Your Data

We build the enterprise web applications and APIs that sit alongside a data platform. Most of our work is ASP.NET Core and C#, delivered as containerized services with CI/CD from the first commit rather than bolted on before launch.

The advantage of using the same team for both layers is that your applications and your data move in lockstep. Schema changes, API contracts and pipeline outputs get designed together instead of being reconciled after something breaks in production.

What We Build

ASP.NET Core Applications

Production web applications on ASP.NET Core and C#, built for the load they actually carry.

  • ASP.NET Core MVC and Razor Pages
  • Blazor Server and WebAssembly
  • Authentication with Entra ID and OAuth
  • Server-side rendering and caching

REST API Design

Versioned documented APIs that other teams can build against without asking you questions.

  • REST and minimal API design
  • OpenAPI and Swagger documentation
  • Versioning and deprecation strategy
  • Rate limiting and throttling

Microservices

Service boundaries drawn where they reduce coupling rather than because microservices are fashionable.

  • Domain-driven service boundaries
  • Asynchronous messaging and queues
  • Resilience with retries and circuit breakers
  • Distributed tracing and correlation

Containerization

Applications packaged so the same artifact runs locally, in test and in production.

  • Docker image design and multi-stage builds
  • Kubernetes and container orchestration
  • Health checks and readiness probes
  • Configuration and secret management

CI/CD Pipelines

Automated build, test and release so shipping is routine rather than an event.

  • Azure DevOps and GitHub Actions
  • Automated unit and integration testing
  • Blue-green and staged rollout
  • Infrastructure as code with Terraform

Data-Backed Applications

The part most teams get wrong: the application layer sitting on top of your data platform.

  • Entity Framework Core and Dapper
  • SQL Server and PostgreSQL access patterns
  • Query tuning and connection pooling
  • AI-enabled endpoints over your data

What You Get

  • A documented application architecture with the reasoning behind each decision
  • ASP.NET Core services built for the traffic and concurrency you actually see
  • APIs documented in OpenAPI so consuming teams are not blocked on you
  • Containerized builds that behave the same in every environment
  • CI/CD pipelines with automated testing and a safe rollback path
  • Handover documentation and runbooks so your engineers own it

AI-Enabled Application Features

Once the retrieval layer exists, the application work is the part users actually touch. We build AI features into ASP.NET Core services as ordinary endpoints: streamed responses, cited answers and the same authentication and rate limiting as everything else you run.

  • RAG endpoints over Bedrock, Azure OpenAI or Cortex AI
  • Streaming responses with server-sent events
  • Citation and grounding returned with every answer
  • Prompt and response logging for evaluation and audit
  • Per-user quotas, rate limiting and token budgets
  • Fallback and timeout handling when a model is slow or unavailable

Ready to Get Started?

Book a free consultation and we will map out the right approach for your platform, your timeline and your budget.

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