Google Cloud
Cloud & AI Platform
Google Cloud and Gemini for data, AI, and Workspace integrations.
What we build with Google Cloud
Joint offerings
BigQuery data platform
Analytics foundation on BigQuery with governed ingestion, semantic layer, and Looker dashboards — optimized for cost and query latency.
Gemini enterprise copilot
Domain-specific copilots on Gemini 2.5 Pro with RAG, Vertex AI Agents, and role-based access — deployed on Vertex AI.
Workspace × AppSheet automation
Business-process apps that live inside Workspace — no-code-extensible surfaces for ops teams who don't want another SaaS.
FAQ
Frequent questions
Do you deploy on both Google Cloud and AWS in the same engagement?
Yes — multi-cloud is common. We run BigQuery for analytics while transaction workloads sit on AWS Lambda, or the reverse. The question is fit-for-purpose, not vendor loyalty.
Can you integrate with our existing Google Workspace?
Yes. Workspace × AppSheet automations, SSO against existing accounts, and Gmail/Drive/Calendar API integrations are standard patterns — we can ship incremental value in weeks, not months.
How do you manage Gemini model versioning and cost?
Every Gemini deployment we ship includes structured outputs, per-request cost observability, and versioned prompts — so upgrading from 2.5 Pro to 3.0 doesn't break calling code and doesn't surprise you on the invoice.