AI Proposal management where quality and compliance are non-negotiables.

Trampoline is for teams who deal with complex RFP work: questionnaires, detailed requirements, security forms, technical questions, and teams of SMEs who all need to contribute. Various kind of documents, multiple documents and so. That usually means pre-sales, proposal managers, sales engineers, solution architects, and business development leaders in B2B service or software companies. If RFPs are a recurring part of your sales cycle (and you need to respond faster without sacrificing compliance and quality) Trampoline will feel like having downloaded a superpower. Who it isn’t for: If you only answer a few lightweight RFPs a year, or your proposals are mostly marketing content you can easily template, Trampoline is overkill. Tools like ChatGPT or Copilot are enough for that. Trampoline shines when proposals are complex, collaborative and high-stakes processes.

ChatGPT and Copilot are great writers, but they don’t manage proposals. Trampoline does. Trampoline reads the entire RFP, breaks it into tasks, assigns the right experts, and pulls answers from your company’s actual knowledge, not the public internet. As your team validates answers, Trampoline automatically updates your knowledge base and reuses it across future proposals. It also handles the work the generic tools can’t: workflow, SME assignment, versioning, compliance tracking, and collaboration. ChatGPT/Copilot help you draft paragraphs. Trampoline manages the entire proposal process, keeping your company’s knowledge current and sharp over time.

All teams see their proposal time cut, at least, in half, and most report reductions of 70–80% once their knowledge is in the system. A 80-hour RFP can often be turned into a strong first draft in under a few hours. The reason isn’t magic... It’s workflow. Instead of having an AI rush to a first draft, Trampoline breaks the RFP into tasks, assigns the right SMEs, drafts compliant answers from your company's knowledge, and keeps everything organized. Your team spends its time validating and refining the sources supporting the proposal, rather than writing the proposal.

Yes. Trampoline integrates easily with almost any software that has an API. We support custom deep integrations for our customers so that we're not just "integrating", we're leveraging their third-party software's data model to their full extent.

Trampoline reads the RFP, breaks it into clear tasks, and drafts answers using your company’s knowledge. Each task is automatically assigned to the right subject-matter expert. Your experts don’t start from a blank page—they review the draft, add missing context, and approve the final answer. As they do, Trampoline learns from their changes and updates your knowledge base for the next RFP. The result is a tight loop: AI handles the heavy lifting, experts handle the judgment.

Trampoline handles any qualitative proposal or questionnaire: RFPs, RFIs, tenders, security questionnaires, technical questionnaires, and due-diligence forms. The biggest file we handled, to date, was a 2227 pages RFP made of Excel sheets, Word forms and PDF documents.

Every time your team reviews or improves an answer in Trampoline, the system saves the validated version and links it to the right concepts. You don’t have to maintain a separate knowledge base—Trampoline builds it automatically as you work. Over time, the AI learns your products, constraints, and preferred language, so each new proposal gets faster and more consistent, even as team members come and go. Simply said: Trampoline captures knowledge as a side-effect of doing the real work. No extra documentation effort. No side systems. No after-the-fact cleanup.

Trampoline AI is an AI project manager for proposals. It turns complex RFPs into organized workflows, assigns the right experts, pulls answers from your company’s real knowledge, and drafts responses your team can validate. Instead of a chatbot guessing in the dark, Trampoline understands your RFPs, your services or products, analyzes your past proposals, evaluates constraints, and uses that context to help your team respond up to 82% faster with the best content quality.

“Context engineering” is the idea that great proposal answers don’t come from clever prompts — they come from giving the AI the information relevant to the right context. Instead of asking the AI to guess, Trampoline loads it with your product documentation, past wins, constraints, expertise, tone, and positioning. That’s the stuff that actually makes an answer correct, credible, and convincing. Trampoline collects and maintains that context automatically as your team works. Your experts fill in the gaps only what the AI doesn't know enough. So instead of spending hours writing or explaining things to an AI, you get answers that already sound like your company—and are already 95% right. That’s context engineering: Stop relying on past information and prompt-hacking, start giving the AI the information it needs to help you win.