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PYRAMYD

Sales Enablement & RFX Management

Win qualified deals faster.

Job to be done

Reduce RFP response time, improve win rates, and arm sales with deal-stage intelligence · without buying another tool.

What PYRAMYD does

  • Matches RFPs against your capabilities and competitors' gaps in seconds
  • Drafts cited responses from the Product Graph · every claim links back to a node
  • Keeps battle cards live with current competitor data · never stale Confluence pages
  • Pushes deal-stage intelligence into Salesforce and HubSpot at the right moment
  • Feeds win/loss learnings back into the graph for the whole team to learn from
PYRAMYD RFX Manager showing inbound RFPs and graph-grounded drafting workflow — captured live from app.pyramyd.ai
Live from app.pyramyd.ai · /rfx-managerDrafted · cited · graph-grounded

Outcome stats

80%

faster RFP response when drafted from the live Product Graph with citations · 33-hour responses collapse to under 7 (Loopio 2026 RFP Trends; McKinsey AI in Sales 2024).

15-30%

win-rate lift from AI-powered proposal tools that ground every answer in current product, pricing, and competitor data (McKinsey AI in Sales 2024).

$725K

median annual revenue lost to unfinished RFPs per organization · $875K for enterprise (Loopio 2026, citing QorusDocs research).

How an RFP runs through PYRAMYD

From the moment a sales engineer drops the inbound RFP into PYRAMYD, the system runs the same lifecycle. A human reviewer stays in the loop on every answer.

  1. Step 01Question decomposition

    Question Decomposition Agent parses the PDF/DOCX, extracts the individual questions, categorizes by intent (security, pricing, technical, commercial).

  2. Step 02Library + graph match

    Each question matched against the approved-answer library AND the live Product Graph. High-confidence matches auto-fill; low-confidence routes to human review.

  3. Step 03APEX draft

    RFX Draft Agent composes the answer per question · graph-grounded, voice-matched to the tenant tone, with citations linking to the source nodes.

  4. Step 04Track-changes review

    Subject-matter experts review in the inline editor · accept, edit, or escalate. Every change preserved in the audit log.

  5. Step 05Proposal compose

    Proposal Compose Agent assembles the final DOCX/PDF with branding, exec summary, cover letter, and a citation appendix.

  6. Step 06Approved-answer feedback loop

    High-confidence accepted answers promoted into the library for the next RFP · stale entries auto-flagged on the next freshness check.

Competitive benchmark

The platforms you'd compare us to · and why Sales Enablement & RFX Management on the graph is different.

Loopio / ResponsiveStandalone RFP platforms with enterprise pricing. Strong libraries; built on stored content, not live product data.
Highspot / SeismicSales enablement content leaders. Excellent for content management and analytics; not graph-native and not built for competitive intelligence.
Arphie / InventiveNewer AI-first RFP drafting tools. Same library-based architecture; no underlying enterprise-software graph to ground answers in.
PYRAMYDRFX is bundled into the Product Graph subscription · no separate tool, no stale content library, and every response is grounded in live competitor and category data.

Every Sales Enablement and RFP tool today is built on stale content libraries. PYRAMYD's responses are grounded in a live graph that auto-updates every week.

See Sales Enablement & RFX Management run against your category.

We'll show APEX answering a real competitive question grounded in the live Product Graph · with citations you can click.