We build custom AI agents and intelligent applications using Python and Azure, purpose-built for your workflows, not repurposed from a generic tool.
Autonomous Python-based agents that can reason, plan, and execute multi-step tasks, connected to your real data and systems.
Conversational AI that goes beyond FAQs: it retrieves live data, executes actions, and handles complex, multi-turn conversations.
GPT-4 and other Azure OpenAI models deployed securely within your Azure environment. Your data stays yours.
Retrieval-Augmented Generation that lets your AI search your documents, SharePoint, or database before responding: accurate, grounded answers.
End-to-end AI application platform: model fine-tuning, evaluation, deployment, and monitoring in one managed environment.
Automated extraction, classification, and processing of invoices, contracts, certificates, and forms using Azure Document Intelligence.
Processes that involve judgment calls, unstructured data, or multi-step decisions: the kind automation tools can't handle alone.
Contracts, invoices, reports, certificates: AI that reads, extracts, and acts on documents without human review.
Companies ready to move beyond off-the-shelf AI tools and build proprietary intelligence that fits their specific domain.
AI built without a clear problem statement always disappoints. We spend time understanding the workflow, the edge cases, and what success actually looks like.
We build in short cycles, testing against real data at every step. No big-bang deliveries: you see it working before it's finished.
Everything deployed within your Azure environment. Full documentation, monitoring setup, and a handover so your team understands what's running.
Built a multi-step AI agent in Python that ingests incoming insurance claim submissions (PDFs, emails, scanned forms) and handles the entire triage pipeline autonomously. Extracts data using Azure Document Intelligence, cross-references policy terms in Cosmos DB, assesses validity using Azure OpenAI, and produces a structured decision report.
Deployed a fully conversational AI assistant that handles support queries, answers FAQs, and routes complex requests, all without a human in the loop. Powered by Copilot Studio and wired directly into a live SharePoint knowledge base.
Copilot Studio is a low-code Microsoft tool, fast to deploy, great for FAQ handling and simple routing within the Microsoft ecosystem. A custom Python agent is more powerful: it can reason across steps, use any data source, execute external actions, and handle genuinely complex workflows. We'll recommend the right approach for your use case.
With Azure OpenAI, your data stays within your Azure tenant, and it's not used to train Microsoft's models. We always deploy within your environment and can work within strict data governance requirements.
A focused agent for a well-defined workflow typically takes 4–8 weeks. More complex agents with multiple tools, data sources, and evaluation requirements take longer. We scope carefully before committing to a timeline.
Tell us the workflow. We'll tell you what's possible.