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Built on Google Cloud

AI agents for Google Cloud-native teams.

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YourCloud, your data
End-to-endFrom scoping to production
ZeroMarkup on your AI costs
The Platform

What is Vertex AI?

Google Cloud's fully managed AI platform — where your agents run inside your own GCP project, governed by your existing security and data policies.

Vertex AI is Google Cloud's machine learning and AI platform, giving organisations access to Gemini models — including Gemini 2.5 Pro and Flash — alongside tools for building, deploying, and managing AI agents at scale. It is tightly integrated with Google Cloud's data and analytics services, making it the natural choice for organisations that already run their data infrastructure on GCP.

For organisations using BigQuery, Cloud Storage, and Google Workspace, Vertex AI agents can access your data warehouse, documents, and productivity tools without building custom bridges. Your agents inherit your GCP project's IAM policies, encryption settings, and network configuration. There is no separate authentication system and no data leaving your project boundary.

Google ADK (Agent Development Kit) is the framework we use to build agent logic on Vertex AI. It provides structured orchestration for multi-step reasoning, tool use, and integration with Google Cloud services — all within the managed Vertex AI environment governed by your project's security policies.

Corporate Agents deploys a proprietary managed agent infrastructure into your GCP project. Built on Google ADK, it provides the orchestration, monitoring, evaluation, and operational tooling needed to run AI agents reliably in production — without your team managing the complexity underneath.

Deployment

Your project, your data, your bill

Everything runs inside your GCP project. You own the infrastructure, the credentials, and the data. Corporate Agents provides the managed agent infrastructure — the proprietary software, operational expertise, and ongoing management that makes it all work.

All AI processing runs within your GCP project — models, embeddings, and orchestration never leave your environment
You enable the Vertex AI API, create a service account, and grant Corporate Agents an IAM role (e.g. aiplatform.user)
Token and compute costs appear on your GCP bill — no markup, no middleman
Infrastructure is provisioned via Terraform for repeatable, auditable deployments
Agents run on Vertex AI Agent Engine — a managed runtime within the Vertex AI security perimeter
All infrastructure is housed in Australia
Corporate Agents retains management access to operate, monitor, and push updates
Flat monthly managed service subscription — no per-user or per-agent pricing

Solutions

What you can build on Vertex AI

Our Vertex AI agents cover these core solution areas, each deployed into your own cloud subscription.

Workflow Automation

Automate repetitive processes across teams and tools.

Document Processing

Extract and classify data from contracts, invoices, and forms.

Data Enrichment

Clean, validate, and enrich enterprise data at scale.

Conversational Agents

Customer-facing chatbots and internal copilots.

Market Intelligence

Monitor competitors, track pricing, and surface market signals.

Reporting & Analytics

Automate report generation, dashboards, and data summaries.

Frequently Asked Questions

We build agents for use cases including data hygiene and enrichment, competitor intelligence, personal assistant workflows, BigQuery conversational analytics, document processing, and multi-agent orchestration systems. Agents are built using Google ADK and powered by Gemini models deployed through your own Vertex AI endpoints.

Our agents integrate natively with BigQuery for natural-language data analysis, Cloud Storage for document access, and Google Workspace for automation across Gmail, Docs, Sheets, and Meet. This enables use cases like automated reporting from your data warehouse, intelligent document workflows, and email analysis — all within the tools your team already uses.

A typical engagement runs discovery and scoping at roughly 10% of the timeline, design and architecture at 15-20%, build and integration at 50-55%, testing and pilot at 15%, and deployment at 5%. Timelines depend on integration complexity, data readiness, and compliance requirements. We phase delivery so you see working automation early — not just a plan.

Yes. All AI processing runs inside your GCP project. LLM inference, embeddings, and agent orchestration use your own Vertex AI endpoints. You enable the API, create a service account, and grant Corporate Agents an IAM role. All token costs appear on your GCP bill directly. Your data stays within your GCP project.

You do — directly to Google through your GCP project billing. Corporate Agents does not mark up token or compute costs. Your Vertex AI endpoints, Cloud Run containers, and all supporting infrastructure appear on your standard GCP bill. Corporate Agents charges separately for the initial build, plus a flat monthly managed service subscription for ongoing operations.

We use Gemini 2.5 Flash for fast tool calling, routing, and lightweight tasks. For deeper analysis and reasoning, we deploy Gemini 2.5 Pro or custom models. The choice of model is configured per agent and sometimes per task — optimising for the right balance of speed, accuracy, and cost for each use case.

Yes. We provide supervised fine-tuning and distillation of Gemini models on Vertex AI using your proprietary data. This improves accuracy for domain-specific tasks while keeping all training data and model artefacts within your GCP project.

Updates are managed through our versioned container image pipeline. When an update is ready, we notify you in advance, test it against your environment, and deploy automatically. There is no downtime and no action required from your team. All updates are tracked and auditable through your GCP environment.

Build on Vertex AI with confidence

Talk to our Vertex AI specialists about your agent strategy.

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