Proven with Industry Leaders
What we do on Google Cloud
Data and AI first. We work at the layer between your systems of record and the AI that depends on them.
Near real-time data and AI readiness
Most AI stalls on data that runs a day behind. We capture changes at the source, move them as events, and measure freshness for every feed.
Real-time data on Google CloudGoogle's AI tools, chosen and governed
Gemini Enterprise, Gemini Enterprise Agent Platform (formerly Vertex AI), the Agent Development Kit and the BigQuery data agents. We help you decide what to turn on, and govern it before it touches production data.
Choosing Google's AI toolsManaged data, integration and agent operations
We run the pipelines, APIs and agent operations between your systems and your AI, priced by outcome rather than by the hour.
Managed services on Google CloudAPI platforms: WSO2 and Apigee
Many Google Cloud customers already have access to Apigee. We implement and run Apigee and WSO2, and we tell you in writing which one fits your requirements.
API management on WSO2Where your data can live
Google Cloud offers a range of isolation. We start with the least restrictive option your risk team accepts.
Public cloud with controls
Assured Workloads and data boundaries, with encryption keys held outside Google through External Key Manager.
Hybrid, with systems of record on-premises
Only the data AI needs moves to Google Cloud. Agents reach on-premises systems through APIs over private connections, never by bulk copy. This is the pattern we build most often.
Google Distributed Cloud
Google services, including Gemini models, run in an environment you control, connected or air-gapped.
Enterprises on Google Cloud with systems they are not ready to move
Enterprises that already run on Google Cloud or are adding it, with systems of record they are not ready to move. We are data and AI specialists who are at home on Google Cloud's platform services, and we leave infrastructure operations to your cloud team.
Our deepest work is in banking, insurance and healthcare, where every integration also has to meet audit and data-residency rules. For the governance side, see AI governance consulting.
Ask a question about data and AI on Google Cloud
A design question, a product choice, or a problem with BigQuery, Pub/Sub, Kafka, Gemini Enterprise, Agent Platform or Apigee. Send it and get a straight answer.
- Price: free.
- Timing: a written answer within two business days. If the question needs a discussion, we reply within two business days to set a call.
- Who answers: a senior data and integration architect, not a sales team.
Data and AI on Google Cloud, answered plainly.
Which Google Cloud services do you work with?
BigQuery, Pub/Sub, Dataflow, Datastream, Managed Service for Apache Kafka, AlloyDB, Gemini Enterprise, Gemini Enterprise Agent Platform and Apigee. On the integration side we also run WSO2, RabbitMQ and Kafka alongside Google's services.
Do we have to move our data to Google Cloud to use Google's AI?
No. Many enterprises keep systems of record on-premises and move only the data AI needs, or let agents reach it through governed APIs. We choose the pattern with your risk and architecture teams.
What happened to Vertex AI?
In April 2026 Google announced Gemini Enterprise Agent Platform as the evolution of Vertex AI. New agent features ship under the new name. Check Google's notes for how your existing workloads are affected.
Google gave us access to Apigee. Can you work with it?
Yes. We implement and run Apigee. If WSO2 fits your requirements better, we explain why in writing, and you decide.
Do you run Google Cloud infrastructure?
We work inside your Google Cloud projects every day, and we set up what our pipelines, gateways and agents need. We do not run 24x7 infrastructure operations or organization-wide network and IAM administration. We work alongside your cloud team or an infrastructure provider.
Do you replace our Google account team or Google support?
No. We work alongside them. Google supports its platform; we design, build and run what sits on it.