Cloud AI Platforms
We build AI agents on all three major cloud platforms. Your agents are deployed into your own subscription with full data sovereignty, zero cloud markup, and Australian data residency as standard.
Each platform offers distinct strengths. Azure AI integrates natively with the Microsoft ecosystem. Vertex AI connects to Google Cloud's data and analytics tools. Amazon Bedrock provides access to a broad set of foundation models on AWS infrastructure. We help you choose the right platform and build agents that are production-ready from day one.
Azure AI
Build AI agents on Azure OpenAI, AI Foundry, and Copilot Studio. Integrated with Teams, SharePoint, Dynamics 365, and your existing Microsoft ecosystem.
Explore Azure AIarrow_forwardGoogle CloudVertex AI
Build AI agents with Gemini models, ADK, and Vertex AI Agent Builder. Native integration with BigQuery, Cloud Run, and Google Workspace.
Explore Vertex AIarrow_forwardAWSAmazon Bedrock
Build AI agents with foundation models, Strands SDK, and AgentCore. Deployed on Fargate with Guardrails and full AWS security controls.
Explore Amazon Bedrockarrow_forwardHow we choose the right platform for your agents
Platform selection is a strategic decision, not a technical preference. The right choice depends on your existing cloud investments, the systems your agents need to access, and the compliance requirements governing your industry. We work across all three platforms because Australian enterprises operate across all three — and we believe the platform should serve the use case, not the other way around.
For organisations already invested in the Microsoft ecosystem, Azure AI provides the most seamless integration path. Agents built on Azure OpenAI and AI Foundry connect natively to Teams, SharePoint, Dynamics 365, and Microsoft Graph — reducing the integration surface and accelerating time to production. Azure Active Directory handles identity, and Azure Key Vault manages encryption keys within your tenant.
For data-heavy workloads and organisations on Google Cloud, Vertex AI offers direct access to BigQuery, Cloud Storage, and Google Workspace from within the agent runtime. Gemini models and the Agent Development Kit (ADK) provide strong reasoning capabilities, and Vertex AI Agent Builder supports rapid prototyping with built-in grounding and retrieval.
For organisations on AWS or those requiring access to a broad range of foundation models, Amazon Bedrock provides multi-model access through a single API. Agents are deployed on Fargate with Guardrails for content safety, and Strands SDK enables flexible agent orchestration. AWS identity and networking controls integrate directly with your existing security posture.
Multi-cloud and platform-neutral by design
We do not mark up cloud costs. You pay your cloud provider directly at their published rates, and we charge only for the design, development, and managed operations of your agents. This model keeps pricing transparent and eliminates the incentive to over-provision resources.
Our agent architectures are designed to be portable across providers. Core orchestration logic, prompt templates, and tool definitions are abstracted from the underlying platform SDK. If your organisation migrates from Azure to GCP — or runs a multi-cloud environment — your agents can follow without a full rebuild.
Every agent we deploy runs in an Australian data region by default. Azure Australia East, GCP australia-southeast1, and AWS ap-southeast-2 are the standard deployment targets. Data residency is not an optional configuration — it is the baseline for every engagement.
Not sure which platform fits your use case? Our free consultation includes a platform recommendation based on your existing infrastructure, integration requirements, and compliance obligations.