Some problems need a canvas app built in a week. Others need a full-stack application on Azure connected to real-time data and custom AI models. We build both, and we know when to use which.
The build matched to the problemCanvas, model-driven, and Power Apps Code Apps, delivered inside your governance, security, and ALM.
React and TypeScript frontends, FastAPI or .NET backends, CI/CD and infrastructure as code.
Claude for agentic workflows, Azure OpenAI and Foundry for language and RAG, embedded where they earn their place.
Not every application needs custom code. Canvas apps deliver working solutions in days: field inspection forms, approval workflows, operational dashboards. Model-driven apps handle complex data relationships across teams. When the requirements exceed what low-code can deliver, like real-time data visualization, WebSocket streaming, or custom AI integration, we build code-first on Azure.
The decision is architectural. We assess each use case on complexity, data volume, user experience requirements, and integration needs, then pick the approach that delivers the most value in the least time.
Full design control with a drag-and-drop interface. Ideal for task-based, mobile-friendly apps: field inspections, data capture, approval screens. Connects to 200+ data sources including Dataverse, SharePoint, and SQL.
Data-first applications built on Dataverse. The UI generates automatically from your data model: forms, views, dashboards, and business rules. Best for process-heavy, multi-team workflows that need consistent structure.
Microsoft’s code-first approach inside Power Apps. Write React and TypeScript components while staying within Power Platform governance: Dataverse, DLP, ALM, and environment management. The bridge between low-code and pro-dev, and we are already migrating canvas apps to Code Apps for pipeline operators.
React and TypeScript frontends with FastAPI or .NET backends on Azure App Service. For applications that need real-time data, custom AI models, WebSocket streaming, or integration with Databricks and Azure OpenAI. Full developer control with CI/CD, Bicep IaC, and environment isolation.
Not every application needs AI. But when it does, we embed it properly: Anthropic’s Claude for agentic workflows and applications that reason over your documents, Azure OpenAI for natural language and document analysis, Azure Foundry for model orchestration and RAG grounded in your enterprise data, Azure AI Search for retrieval across large document sets, and AI Builder for low-code intelligence inside Power Apps and Power Automate. We have built voice-based AI training simulators, document generation systems, and real-time control dashboards connected to Databricks. Each one started with a clear business requirement, not a technology looking for a problem.