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Google Cloud intelligence, connected to the systems that run your business.

Galang AI is an official Google Cloud Partner. We help organizations put Gemini, Vertex AI, data, infrastructure, and security to work as one governed operating system, from the first useful AI workflow through production deployment, adoption, monitoring, and continuous improvement.

What this looks like in production

One governed operating plane

Data, models, applications, identity, and operations connected around one measurable workload.

Google Cloud Partner logo
01

Business workload

start with the outcome

02

Trusted data

grounded and permissioned

03

Gemini + Vertex AI

models, agents, evaluation

04

Secure runtime

Cloud Run, GKE, or hybrid

05

Measured operations

observe, govern, improve

Official

Google Cloud Partner

AI + data

one architecture from model to outcome

Governed

identity, approvals, observability, and controls

What we build

Google Cloud services, delivered by operators

Google Cloud AI Strategy & Architecture

A workload-first roadmap for Gemini, Vertex AI, data, integration, identity, and runtime decisions. We connect technical architecture to the operating result, delivery sequence, risk controls, and evidence of success.

Gemini & Vertex AI Systems

Custom assistants, agents, multimodal workflows, retrieval systems, evaluations, and application features built with Gemini and Vertex AI, grounded in trusted data and connected to the tools people already use.

Data Platforms & BigQuery

Practical data foundations for AI and analytics: ingestion, transformation, governed access, BigQuery modeling, semantic layers, reporting, and the pipelines that keep models connected to current business truth.

Cloud-Native Application Modernization

Modernize applications and agent workloads with Cloud Run, containers, APIs, event-driven services, and Google Kubernetes Engine when the workload calls for it, without forcing complexity where a simpler runtime will do.

Secure Enterprise Integration

Connect Google Cloud to Workspace, CRM, ERP, document systems, data stores, and operational tools with least-privilege identity, auditable handoffs, human approvals, and clear failure paths.

Managed Cloud AI Operations

Ongoing quality evaluation, cost and latency monitoring, security review, model and prompt updates, incident response, documentation, and workflow improvement after the first production release.

How an engagement runs

01

Map the workload and controls

We identify the decisions, data, systems, users, constraints, and measurable outcomes before choosing products. Security, identity, human review, and failure handling enter the architecture at the same time as the AI use case.

02

Build the production path

We prototype with representative data, evaluate Gemini and the surrounding Google Cloud services against the real task, then connect the system to trusted knowledge, tools, approvals, and an appropriate runtime.

03

Launch, observe, and improve

Production includes telemetry, evaluation, cost visibility, documentation, training, and ownership. We can stay engaged to tune the system as models, usage, data, and business requirements change.

Common questions

Google Cloud, answered straight

Is Galang AI an official Google Cloud Partner?

Yes. Google confirmed that Galang AI is now part of the Google Cloud Partner Network. That gives our team access to Google Cloud partner enablement, resources, training, and collaboration pathways that support client delivery. It does not mean Google endorses every Galang AI service or recommendation.

What can Galang AI build on Google Cloud?

Gemini and Vertex AI applications, custom agents, governed retrieval and enterprise-search workflows, BigQuery data platforms, cloud-native APIs and applications, document and multimodal pipelines, secure integrations, and the operational controls needed to run those systems in production.

Does Galang AI only recommend Google Cloud?

No. We are workload-first and platform-practical. Google Cloud is often a strong fit when Gemini, data, cloud-native infrastructure, Workspace, or Google security services are central to the environment. We still evaluate quality, cost, latency, privacy, team capability, and existing architecture before recommending a platform.

Can Galang AI work with our existing or multi-cloud environment?

Yes. Most organizations already have a mixed environment. We can connect Google Cloud to existing SaaS, on-premises systems, other cloud providers, private data stores, and human approval workflows without requiring an unnecessary full-platform migration.

Does Galang AI hold a Google Cloud tier or competency?

Galang AI is an official Google Cloud Partner. We do not claim a Select, Premier, or Diamond tier, or a product, solution, or industry competency, unless Google Cloud separately awards and confirms that designation.

Put Google Cloud to work, without the trial and error

Secure cloud and agentic AI, designed around the work. Book a free intro call and we'll map where Google Cloud fits in your operation, and where it doesn't.

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