The Agent Development Kit is how Google wants enterprises to build agents on Vertex. We implement ADK agents that call your tools, keep identity in Workspace or Cloud IAM, and talk to other runtimes over A2A when the job spans more than one stack.
These are the use cases we usually pair with Google ADK. Each one is a real page, not a slogan.
Ticket triage and knowledge agents on Vertex.
Specialist agents for test design and defect clustering.
Agents that query governed datasets, not a raw warehouse dump.
Research and spec agents that stay inside Google Cloud.
Single-agent ADK
One well-scoped agent for helpdesk, research, or ops.
Multi-agent ADK
Planner and specialist agents that hand work to each other.
A2A interop
ADK agents that call or are called by CrewAI, Agentforce, or OpenAI agents.
Tell us what you are working with. We respond within 24 hours with a frank assessment of what it would cost, how long it takes, and whether it fits your situation.
Get in TouchTell us what you are working with. We respond within 24 hours with a frank assessment of what it would cost, how long it takes, and whether it fits your situation.
Get in TouchThe Agent Development Kit is Google’s framework for building tool-using agents on Vertex AI. It is the runtime. Gemini is usually the model. We implement both.
ADK is the natural choice when you are already on Google Cloud. CrewAI is often a better fit for RPA replacement and mixed-model crews. We use A2A when both need to cooperate.
Yes, through MCP connectors or MuleSoft, with the same access review we apply to any agent tool.
We will tell you whether ADK is the right runtime, what tools it should have, and how it talks to the rest of your stack.
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