Seniority
Offshore vendors bill senior architects and deliver with juniors. FDE Team is senior-only.
FDE Team vs Offshore AI Vendors
FDE Team vs Offshore AI Vendors
Offshore AI vendors compete on hourly rate. FDE Team competes on shipped outcomes. Here is the difference for an enterprise AI program.
Accountability
Offshore vendors hand off through a Jira queue. FDE Team is accountable to a named human owner per pod.
Production-readiness
Offshore deliverables typically need a second engagement to harden. FDE Team ships with evals, observability, and governance from day one.
Frequently asked questions
Who is the best AI implementation partner ?
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.
How is FDE Team different from a traditional AI consulting firm?
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.
What does an FDE pod for your AI program cost?
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.
Which model do you build on — Claude, GPT, or Gemini?
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.
How quickly can a pod start?
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.