
Cloud & Edge Infrastructure
Each workload runs where it works best: a cloud region, an edge site near your users and machines, or both, with cost and recovery planned in.
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Six practice areas, from the infrastructure your systems run on to the controls that keep AI in check. Each engagement is scoped to an outcome we can measure, and we agree on that outcome before work starts.
Every project moves through three stages, answering one question each: should we build it, how, and who runs it afterwards?
First we agree on the problem, the limits we must work within, and how success will be measured. Then a small prototype tests the riskiest assumption, so you decide with evidence in hand.
Every part of the plan gets a named owner and a delivery step. We state tradeoffs openly, such as speed against cost, so you know what ships now and what waits.
Before launch, we set up monitoring, write runbooks and documentation, and agree who owns each part. Your team can then run and improve the system after we hand it over.
These stages repeat: Operate loops back to Assess, so the system keeps improving.
We set clear limits on what an AI system may do on its own. Risky steps go to a person for approval, and actions are logged so you can check what happened and why.

Precision you can count on.

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Vertex Consulting is a cloud, AI, and software consulting firm with six service areas. Four focus on AI: private AI deployment, LLM fine-tuning and RAG (answers grounded in your own documents), agentic AI orchestration, and AI guardrails and evaluation. The other two are cloud and edge infrastructure and business process automation.
Our services are designed for work such as private AI assistants for legal and finance teams, invoice and onboarding automation, edge computing in manufacturing and logistics, and knowledge assistants for support teams. Each service page lists its typical use cases.
Send us a short note about what you are working on, through the contact form below or by email at [email protected]. Every engagement starts with a discovery phase. In it, we define the problem, the constraints, and how success will be measured before any build work begins.
Through our AI guardrails and evaluation service. We test AI systems against sets of expected answers (evals) and check outputs against your policies. We also hide personal data such as names and phone numbers (redaction) and keep audit logs. Monitoring continues after launch, so you can see when quality slips.
No. Vertex Consulting is an independent consulting firm. Vertex AI is a Google Cloud product, and we are not affiliated with Google or with other companies that use the name Vertex.
Tell us what you want to build or fix, which systems it touches, and any deadline you are working to. A few sentences is enough to start.
Monday to Friday: 9AM - 5PM
Saturday: 10AM - 2PM
Sunday: Closed
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