Google Cloud · Vertex AI · Enterprise agents

Move Google agents from studio prototype to governed production.

Numezis builds enterprise AI on Google Cloud with Vertex AI, Gemini, Agent Builder, Agent Engine and the Agent Development Kit. Google AI Studio supports fast prototyping; we design the additional identity, data, network, evaluation and operating layers required for production.

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IDENTITYMODELDATAOPERATEGOOGLE CLOUD / NUMEZIS ADVISORY & ENGINEERING

PlatformVERTEX AI AGENT BUILDER

ScopeARCHITECT · BUILD · GOVERN

DELIVERYSWITZERLAND · FR / EN / DE / IT

Decision thesis

The question is not whether a Gemini demo works in a studio. It is whether the agent can preserve source permissions, operate inside Google Cloud trust boundaries and remain observable when it starts taking action.

Product landscape

Choose the right Google surface for each stage of the lifecycle.

We distinguish experimentation, agent development, managed runtime and enterprise operations so that a prototype does not silently become architecture.

Google AI Studio

Fast Gemini prototyping and API exploration; useful for learning, but not the complete enterprise operating environment.

Vertex AI

Managed models, Model Garden, evaluation, grounding, tuning and MLOps within Google Cloud projects.

Agent Builder · Agent Engine

Agent discovery, development, managed deployment, sessions, memory, evaluation and observability.

ADK · Gemini · Google Cloud data

Code-first agent development connected to BigQuery, AlloyDB, Search, APIs and governed enterprise data.

What we deliver

A production path for Google Cloud AI and agents.

We connect product choices to IAM, VPC, data permissions, evaluation, delivery pipelines and measurable business workflows.

Platform & workload design

Select projects, regions, model endpoints, data services and agent patterns against workflow and risk.

TARGET ARCHITECTURE · MODEL DECISION

Agent engineering

Build with ADK or suitable frameworks, define tools, sessions, memory, grounding and human approval paths.

AGENT SYSTEM · TOOL CONTRACTS

Security & data boundaries

Implement IAM, service accounts, VPC controls, secrets, source permissions, logging and controlled egress.

TRUST MAP · CONTROL BASELINE

Evaluation & operations

Establish task evals, traces, monitoring, release gates, cost controls and incident ownership.

EVAL SUITE · SLO · SCALE GATES

Architecture-first

The agent runtime must inherit Google Cloud controls without flattening them.

Production architecture follows the path from user identity to retrieval, model inference, tool execution and operational evidence.

P / 01

Projects & IAM

Project boundaries, service accounts, roles and separation between builders, operators and agents.

D / 02

Data & grounding

Source ACLs, BigQuery and search access, lineage, residency and citation quality.

R / 03

Runtime authority

Agent Engine, tools and APIs with bounded credentials, approvals and recoverable execution.

E / 04

Evidence

Cloud Trace, Logging, Monitoring, evaluation, cost and workflow outcome measurement.

Engagement output

A Google Cloud agent platform designed to survive production reality.

We produce architecture, working software and operating evidence in the same engagement.

01Platform readiness and target architecture

02Identity, network and data trust map

03Model and agent evaluation suite

04Security and governance control baseline

05Production pilot with acceptance gates

06Cost, operations and scale roadmap

Relationship transparency

Applied cloud expertise. No borrowed credentials.

Applied expertiseActive

Public partner statusOnly stated after provider confirmation

The Google Cloud and Vertex AI Agent Builder names identify technologies we evaluate and implement. They do not imply an announced partnership, certification or endorsement.

FAQ / Google Cloud AI

Google Cloud agent consulting: what teams need to distinguish.

Primary product sourcesVertex AI Agent Engine documentation ↗Vertex AI Agent Builder ↗

01Is Google Agent Studio the same as Google AI Studio?

Google AI Studio is the current Google environment for quickly prototyping with Gemini. For enterprise agents on Google Cloud, the production stack is generally Vertex AI Agent Builder and Agent Engine, often with the Agent Development Kit. We clarify the terminology because searches frequently mix these products.

02Can Numezis build agents with ADK and deploy them to Agent Engine?

Yes. We design agent structure, tools, grounding, sessions, memory, evaluation and deployment together with IAM, network and operating controls.

03Is Numezis an official Google Cloud partner?

This page describes applied implementation expertise and does not imply an announced partnership, certification or endorsement. Formal status is stated only after provider confirmation.

Prepare · Govern · Engineer · Realize

Turn your Google agent prototype into a controlled production system.

Bring us the workflow, Google Cloud landscape and data boundaries. We will design the production path from first evaluation to scale.

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