Microsoft Azure partnership
As a Microsoft Azure partner, we build production AI on Azure OpenAI Service, Azure AI Foundry, Microsoft Fabric, and Copilot Studio, engineered to operate inside the Microsoft 365 and GitHub surfaces enterprises already work in every day.
Our capabilities
Azure OpenAI and Foundry solutions
We engineer production GenAI on Azure OpenAI Service and Azure AI Foundry using spec-driven development: the behaviour, evaluation criteria, and guardrails are defined before the code is. Models are grounded against client data through retrieval patterns we've built and re-used across regulated engagements, evaluated continuously against the specs that defined them, and wired into the content safety, identity, and observability controls audited workloads require.
Copilot extensibility and Copilot Studio
Our work on Microsoft 365 Copilot covers grounding it in private data, extending it with custom plugins, building new copilots for specific workflows, and governing access. We build inside Copilot Studio and the Microsoft 365 Copilot extensibility platform, with custom connectors, declarative agents, and the integration into Entra and Purview that keeps the resulting work compliant.
Agentic engineering on Azure
Microsoft owns the developer toolchain most enterprises actually run: GitHub for source, GitHub Copilot for assistance, Azure DevOps for delivery pipelines, and Azure AI Agents Service for the longer-running automation that sits beside people. We put that toolchain to work end-to-end; applying spec-driven development to define how agents and AI features should behave before code is written, pairing GitHub Copilot and Codespaces with that same discipline so AI-assisted engineering produces systems that meet the spec, and using Azure DevOps to take the resulting work from commit to production.
AI-ready data on Microsoft Fabric
Before AI can do useful work, the data has to be ready. We modernise data estates onto Microsoft Fabric so Azure’s AI services have something they can actually use. OneLake unifies the storage layer, Data Factory and Real-Time Intelligence handle ingestion and streaming, and Microsoft Purview provides catalogue, lineage, and policy. The output is a single, governed surface that Azure OpenAI, Copilot, and Azure AI Agents can work against directly.
AI-ready modernisation to Azure
Moving to Azure isn’t the goal. The goal is making Azure OpenAI, Copilot extensibility, and agentic workloads possible on it. We run re-platforming programmes onto Azure Kubernetes Service, Azure Container Apps, and Azure Functions, designed for the identity, networking, and policy patterns production AI workloads require from day one.
Credentials and accreditations
Our Microsoft certifications span the Azure Solutions Architect, Developer, AI Engineer, Data Engineer, and DevOps Engineer tracks. Our delivery team of architects, senior engineers, delivery leads, and designers moves Azure projects from pilot to scale. Hands-on experience covers Azure OpenAI Service, Azure AI Foundry, Microsoft Fabric, Copilot Studio, and Azure DevOps. The team is structured to take an Azure engagement from architecture through to production operation in regulated environments.
Want to see what our partnership with Azure could do for your business?
Related articles
Soloper: compressing the development phase of a mobile-to-web port with GitHub Copilot
