We architect, build, and operationalize AI applications on Azure AI Foundry and Azure OpenAI —
RAG systems, agents with real tool integrations, multimodal apps, and intelligent automation
pipelines that respect your enterprise permissions and audit requirements.
Solution architecture
Generative & agentic AI architectureSystem design for LLM apps, agents, and orchestration — grounded, observable, and cost-controlled.
AI proof-of-concept developmentRapid, opinionated POCs that de-risk the hard questions before you invest in production.
Workflow orchestration & intelligent automationCompose LLMs, tools, and business logic into reliable end-to-end automations.
Azure AI platform
Azure AI FoundryModel catalog, deployments, agents, evaluations, and project connections in one workspace.
Azure OpenAIGPT model selection, deployment strategy, throughput planning, and cost management.
Azure AI SearchHybrid, semantic, and vector search — the retrieval backbone for RAG.
Azure AI Document IntelligenceExtract structured data from forms, invoices, contracts, and scanned documents.
Azure AI Content SafetyInput/output moderation, jailbreak detection, and guardrails for safe generation.
Azure SpeechSpeech-to-text, text-to-speech, and multilingual conversational experiences.
Grounding & retrieval
Retrieval-augmented generation (RAG)Chunking, embedding, indexing, and re-ranking pipelines tuned to your content.
Semantic & vector searchHybrid retrieval strategies in Azure AI Search — measured against real questions.
Knowledge-base grounding & citationsAnswers backed by source passages so users trust and verify what the AI produces.
Prompt engineering & system instructionsStructured prompts, few-shot patterns, and role instructions that hold up in production.
Agentic AI
AI agents & tool integrationFunction calling, tools, and connectors that let agents take real actions in your systems.
Multimodal AI applicationsText, vision, and audio combined — documents, images, and conversations in one flow.
Multilingual conversational applicationsVoice- and chat-first experiences that work across languages and locales.
Enterprise-grade AI
Permission-aware enterprise AIRetrieval and answers scoped to what each user is allowed to see, using Entra ID and RBAC.
Human-in-the-loop approval & exceptionsExplicit approval gates and exception handling for high-stakes automations.
Document validation & information extractionCombine Document Intelligence with LLM validation for reliable structured output.
Automated record reconciliationMatch, compare, and resolve records across systems with AI-assisted decisioning.
Build & delivery
Python AI application developmentFastAPI, LangChain, Azure SDKs, and evaluation harnesses for LLM apps and agents.
C# / .NET AI integrationSemantic Kernel, Azure.AI.OpenAI, and Foundry SDKs integrated with existing .NET systems.
How we engage
1. Discovery
We start with the use case, the data, and the users. We identify the shortest path to measurable value — and the guardrails your organization requires.
2. Prototype
We build a working prototype quickly, wired to your data, so you can experience the solution and course-correct early.
3. Production
We harden the solution — grounding, guardrails, observability, security, cost controls, evaluation — and hand off with the runbooks and skills your team needs.