The hiring gap
Senior AI engineers in the USA take 6 months to hire. FDE Team is in your repo in 6–8 weeks.
FDE Team vs Building In-House
AI Implementation Partner vs Building In-House
Eventually, every serious AI program needs in-house engineers. The question is what to do in the first 6–12 months — when hiring senior AI talent takes 6 months per req. FDE Team is the bridge.
Direct-hire conversion
After 6 months, FDE pod members can convert to direct hire on your team — so you build the in-house program while shipping production AI today.
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 team 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.