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Perfect Proposals
Tailored in Seconds

Intelligent RAG Pipeline

Stop copy-pasting from old docs. Our AI agent analyzes your client's needs, retrieves the perfect case studies from your knowledge base, and writes a winning proposal that sounds exactly like your best salesperson.

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CRM Data
Client Context
Vector DB
Case Studies
Generated Proposal
PDF / Word / Notion

The "Context-First" Approach

Most AI writing tools sound generic because they lack context. Our architecture solves this by implementing a Retrieval Augmented Generation (RAG) pipeline that "reads" your company's brain before writing a single word.

  • Style MatchingAnalyzes your previous winning proposals to mimic tone and structure.
  • Dynamic Case StudiesAutomatically inserts relevant examples based on the client's industry.
  • Live PricingConnects to your CPQ or pricing sheet to ensure quotes are accurate.
proposal_agent.py
async def generate_proposal(client_id):
  # 1. Get Client Context
  client = await crm.get(client_id)

  # 2. Find Relevant Case Studies
  studies = await vector_db.search(
    query=client.industry,
    limit=3
  )

  # 3. Generate Content
  draft = await llm.generate(
    prompt="Write proposal for {{ client.name }}...",
    context=studies
  )

  return pdf_builder.create(draft)

Stop writing the same document twice.

Let's build a proposal engine that knows your business as well as you do.

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