Google Cloud partnership
As a Google Cloud partner, we build production systems on Gemini, Vertex AI, BigQuery, Agentspace, and the Agent Development Kit, engineered to operate against real data and inside real operational constraints. We’ve shipped platforms in banking, public sector, and life sciences, where governance and audit trails have to hold up under inspection.
Our capabilities
Agentic engineering on Google Cloud
We build production agents on Google's stack: extending the Agent Development Kit with domain-specific tools, deploying into Agentspace where the data and applications already live, and pairing Gemini Code Assist with the spec-driven engineering practice we apply across our AI-native delivery. The openness of the stack is what makes this work, ADK is open source, Agentspace runs across an organisation's existing systems rather than asking it to migrate, and Code Assist plugs into IDEs teams already use. That means agents land inside the operational reality of the business, not alongside it.
AI-ready data on BigQuery
Before AI can do useful work, the data has to be ready. We modernise data foundations with that in mind: BigQuery as the warehouse, BigLake to bring open formats into the same governance model, Dataplex for catalogue and policy, and Looker for the BI layer. BigQuery ML and Gemini-in-BigQuery let models run against the data without moving it.
Modernisation to Google Cloud
Moving to Google Cloud isn’t the goal. The goal is making Vertex AI, Gemini-powered services, and agentic workloads possible on it. We re-platform onto Google Kubernetes Engine, Cloud Run, and serverless services, designed for the access patterns AI workloads require.
Gemini and Vertex AI solutions
We engineer production GenAI on Vertex AI. The systems we ship use Gemini models grounded against client data, tested with structured evaluations, and built with the observability and governance regulated workloads require.
Credentials and accreditations
Our Google Cloud certifications span the Cloud Architect, Data Engineer, and Machine Learning Engineer tracks. Our delivery team of architects, senior engineers, delivery leads, and designers moves projects from pilot to scale. Hands-on experience covers Vertex AI, BigQuery, Google Kubernetes Engine, Cloud Run, and large-scale modernisation programmes. The team is structured to take an engagement from architecture through to production operation in regulated environments.
Want to see what our partnership with Google Cloud could do for your business?