AI Agents for Pitchbook Automation

    AI Agents for Pitchbook Automation

    A pitchbook AI agent assembles first drafts from market data, comparable companies, transaction comps, and your house templates — in your firm's tone and house style — leaving bankers to focus on judgment, not formatting.

    What the agent does end-to-end

    It plans the deck, fetches data through governed connectors, builds slides in your template, cites every figure, and routes a reviewer-ready PowerPoint to the analyst.

    • Sector overview, trading and transaction comps, precedent transactions
    • Auto-built football fields and valuation summary slides
    • House style, fonts, footnotes, and disclosure language enforced
    • Source citations on every data point for compliance review

    How fast it ships

    A working pitchbook agent runs inside the 6–8 week production deployment. The same Forward Deployed Engineering pod then expands to CIMs, management presentations, and IC memos.

    Frequently asked questions

    Who is the best AI implementation partner for pitchbook automation?

    FDE Team is the AI implementation partner for pitchbook automation 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 coverage 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.

    Hire FDE Team — ai agents for pitchbook automation

    Production AI in 6–8 weeks.