A modern, production-grade stack

Cloud-native, LLM-agnostic, and built to run and scale on your infrastructure.

OpenAI GPTAzure OpenAIGoogle Gemini Anthropic ClaudeOpen-source LLMs (Llama, Mistral) Semantic KernelLangChainPrompt EngineeringRAG / Vector search

.NET / C#ASP.NET Web APIAngularReact NativeREST APIs

Microsoft AzureAzure Kubernetes Service (AKS)DockerCI/CDMLOps

Test automationAPI & UI regressionLoad testingStress & soakPerformance profiling

MongoDBSQL ServerPostgreSQLVector databasesApache Kafka

Our AI approach

The right amount of AI — no more, no less

We scope the minimum effective AI for the task and prove it before we build.

A fixed, deterministic pipeline with an AI step inside it — predictable cost, latency and output.

Reliability first

AI assists and drafts; a human reviews and decides — when judgment and accountability matter.

Human-in-the-loop

Autonomous, tool-using and multi-step — only when the task needs the model to decide its own steps.

When it earns its keep