Agent design & architecture
We map the decisions a workflow actually makes, then design the agents, tools, and control flow around them — not the other way around.
Explore → Agentic AI · built & operated
The agentic AI your business runs on.
velocityS.ai designs, builds, and operates production-grade agentic applications — the kind that take real actions, hold up under scrutiny, and don't fall over at scale.
Built on Google Cloud — Vertex AI & Cloud Run · Scale-to-zero by design · Keyless, federated deploys · Your cloud, your data
$0
Idle infrastructure cost — scale-to-zero by default
0
Stored cloud keys — keyless, federated CI/CD
1 cmd
From repository to a deployed agent in production
Day 1
Production-grade — governed, observed, owned
What we do
Most teams can prototype an agent. Few can run one.
We do both. velocityS.ai owns the full arc — from the first architecture decision to the system that's still answering reliably a year later. Six disciplines, one team.
Build & integration
Agents wired into your real systems — data, APIs, and approvals — using the Google ADK and Gemini on Vertex AI, shipped as clean, owned code.
Explore →Evaluation & guardrails
Every action gets a check and every decision an audit trail. We measure quality before launch and keep measuring it after.
Explore →Managed hosting on GCP
We run it for you on Cloud Run — scale-to-zero when idle, scale up on demand — so you pay for traffic, not for waiting.
Explore →Observability & operations
Traces, costs, and failures in plain view, with alerting that reaches a human before your users do. We operate what we build.
Explore →Security & governance
Keyless deploys, least-privilege identity, and a deployment gate locked to your org and repository. Defensible the day someone asks how it works.
Explore → How we work
Five steps, one team, all the way through.
No handoff between the people who recommend and the people who deliver. The order matters — each step earns the next.
STEP 01
Scope
We find the decision worth automating and define what “good” means in numbers.
STEP 02
Architect
Agents, tools, data paths, and guardrails — designed before a line of code is written.
STEP 03
Build
Implemented on ADK and Vertex AI, integrated with your systems, shipped as code you own.
STEP 04
Evaluate
Measured against the scope's targets, with guardrails and an audit trail on every action.
STEP 05
Operate
Deployed, monitored, and tuned — we stay long enough to prove it holds.
The Velocity platform
A production foundation, not a starting line.
Every engagement runs on the same hardened base we built for ourselves: infrastructure as code, keyless delivery, and a cost model that drops to zero when nothing's running.
- ▸Scale-to-zero by default. Idle cost approaches $0; capacity appears on demand.
- ▸Keyless CI/CD. Workload Identity Federation — no stored credentials, deploys locked to your org and repo.
- ▸Gemini on Vertex AI. Agents built with the Google ADK, deployed to Cloud Run.
- ▸Your cloud, your data. It runs in your Google Cloud project, under your controls.
What we hold to
Three principles, every engagement.
Production from day one
We build for the system that has to keep running — not the demo that has to impress once. No throwaway prototypes pretending to be products.
Governed by default
Guardrails, audit trails, and least-privilege access aren't add-ons we bolt on later. They're how the thing is built from the first commit.
Scale to zero, scale on demand
You shouldn't pay for an agent that's waiting. Our default is idle cost near zero, with capacity that expands the moment it's needed.
Start a project
Bring us the workflow you can't afford to get wrong.
If it has to be fast, has to be right, and has to keep working — that's the work we're built for.