AI Agent Development Company

    The AI Agent Development Company

    Most "AI agents" are demos. FDE Team builds production agents — multi-step, tool-using, governed, observable, and embedded in the systems your business already runs.

    What production agents actually require

    A production agent is an evaluation harness, an observability stack, a tool registry, a permission model, a cost ceiling, and a rollback path — wrapped around an LLM. We build all of it.

    • Multi-step planning and tool use across enterprise systems
    • Evals + regression suites in CI for every agent
    • OpenTelemetry-grade observability and cost controls
    • Human-in-the-loop and approval gates where required
    • Built on Claude, GPT, or Gemini — selected per use case

    Why FDE Team

    Senior Forward Deployed Engineering pods, 6–8 week path to production, model-agnostic by default, outcome-aligned pricing.

    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 agent 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.

    Hire FDE Team — ai agent development company

    Production AI in 6–8 weeks.