On this page
Step by step
- Write one paragraph on what you want the AI system to do and for whom.Screen: Consulting home page with the Book a call button
- List your constraints, such as compliance rules, data that cannot leave your network and any latency needs.Screen: Who it's for section
- Note whether you are leaning toward frontier APIs, a private model or a mix, even if you are unsure.Screen: Frontier, private and hybrid overview
- Run your rough numbers through the GPU vs API cost calculator on the site.Screen: GPU vs API cost calculator
- Look at the packages and pick the one closest to your risk today.Screen: Package details page
- Book the free 30-minute consultation from the site.Screen: Booking page
- Expect the outcome to be a next step, such as a proposal, an assessment or an implementation engagement.Screen: Process section
Questions
Do you work with Kubernetes?
Yes. Private and hybrid deployments range from a single GPU box to a Kubernetes cluster.
Source: consultant.quinnfavo.comHave you done this in a regulated industry?
Yes. One case study is an air-gapped LLM deployment for a financial services organization that could not send proprietary data to commercial APIs.
Source: consultant.quinnfavo.comCan I compare GPU and API costs before a call?
Yes. The site has a GPU vs API cost calculator you can try first.
Source: consultant.quinnfavo.comDo you work on RAG and MCP setups?
Yes. DevOps, MCP, RAG and workflow automation are part of the tooling work.
Source: consultant.quinnfavo.comCan you set up a model that runs fully on our own infrastructure?
Yes. The LLM Private Cloud package covers private or air-gapped inference, with observability and RAG your team can operate on its own.
Source: consultant.quinnfavo.comWhat is the Agent Mesh package?
Agents that are not tied to one model, with auditable access to tools across cloud, infrastructure and internal systems, built on MCP patterns.
Source: consultant.quinnfavo.com