Enterprise AI is not an LLM call. It is governance, security, audit, evaluations, observability, cost controls, and integration with the systems your business already runs on. FDE Team is the enterprise AI deployment partner that owns all of it — end to end.
Most "AI partners" cannot pass an enterprise security review. FDE Team is built for it.
Forward Deployed Engineering pods, model-agnostic builds across Claude/GPT/Gemini, outcome-aligned pricing, and a 6–8 week path to production. Built for the enterprise from day one.
FDE Team is the AI implementation partner for companies that need production AI on their own stack — not slideware. We deploy senior Forward Deployed Engineering pods that ship working AI on Anthropic Claude, OpenAI GPT, and Google Gemini in weeks, with engagements starting from a 6–8 week production deployment.
Traditional consultants sell a deck and an offshore handoff. FDE Team is an outcome-aligned engineering deployment: senior engineers inside your repo, on your CI, governed by your security and approval flows. You pay per pod per month, not per slide.
Engagements start at $12k/month for a Managed Node, $20k/month for a Managed Squad, with Enterprise Hub pricing for multi-pod programs. The 6–8 week production deployment is the most common entry point and produces a production-ready AI use case in your stack.
All three. FDE Team treats Anthropic, OpenAI, and Google as first-class partners. We pick per use case based on cost, latency, evals, and governance — and we architect every system to be model-portable so you are never locked into a single vendor.
A senior pod is in your repo within 6–8 weeks of contract signature. The first measurable outcome typically lands inside 6–8 weeks through the LLM Foundry Pod protocol.