---
type: partnership
slug: google-cloud
partner: Google Cloud
partnerUrl: 'https://cloud.google.com'
logo: /partnerships/google-cloud/logo.png
tier: cloud
summary: >-
  Proud Google Cloud Partner helping companies build production-ready
  generative-AI solutions on Vertex AI, Gemini models, and Google Cloud's
  broader AI infrastructure.
offering: >-
  End-to-end generative-AI delivery on Google Cloud — from concept and
  direction, through Vertex AI prototyping, to a tailored production deployment
  that fits your data, your integrations, and your operational reality.
contactTeamMember: tuomas-vuori
caseStudies: []
updatedAt: '2026-05-12'
---

## Why Google Cloud for GenAI

Google Cloud offers one of the most comprehensive AI platforms available — cutting-edge models, enterprise-grade infrastructure, and developer tools that hang together. Vertex AI, Gemini, vector search, and the rest of the Google ecosystem give us a strong foundation for building sophisticated generative-AI applications at scale.

## What we do together

The tools are powerful; the strategic choice of *what* to build is where most projects rise or fall. Intentface brings practical AI experience from production engagements across multiple industries, focused on solutions that deliver measurable business impact rather than technology for its own sake.

## What we deliver

- **Strategic implementation.** We identify the high-impact opportunities for GenAI in your organization and develop solutions that deliver measurable results using Google Cloud's AI platform.
- **Custom applications.** Tailored builds leveraging Vertex AI, Gemini, vector search, and the broader Google Cloud surface area to meet your specific business needs.
- **End-to-end delivery.** From concept and prototype to production deployment, monitoring, and continuous optimization — one team across the full lifecycle.

## Google Cloud GenAI capabilities we work with

- **Vertex AI & model deployment.** Deploying and fine-tuning models — Gemini and beyond — with enterprise-grade scalability and performance.
- **Retrieval over enterprise data.** Vector search and grounded generation tuned to the customer's own corpus.
- **Agentic application infrastructure.** Tool-using agents wired to Google Cloud services and the customer's own APIs.
- **Operational rigour.** Logging, evaluation, and rollout patterns that translate prototype success into production stability.

## Working with us

Our typical engagement starts with a short direction phase to map the opportunities and align on what to build first — see [how we work](/services). From there, the path to a production-grade deployment on Google Cloud is short, because the same team that designed the concept builds it.

[Get in touch](/contact) to scope your next GenAI project on Google Cloud.