PYRAMYD
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Use Case 03 of 04

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
RFP

RFP Drafter

Section 4 of 12 · Security & Compliance

Question

Describe your tenant isolation model and how it satisfies SOC 2 Type 2 + EU AI Act Article 50.

APEX Draft

PYRAMYD enforces tenant isolation at three layers: row-level security policies on every Postgres table [1], tenant-isolated graph slices backed by per-tenant graph embeddings [2], and per-tenant inline vector indexes (HNSW) that cannot cross-traverse [3].

Cross-tenant data flow is impossible by design: every read and every write passes through an auth context that's revalidated at the row, query, and embedding-index level. The architecture is reviewed annually under our SOC 2 Type 2 audit [4] and the AI surface satisfies EU AI Act Article 50's August 2026 transparency mandate through entity-level citation hierarchies on every APEX answer [5].

Citations

  1. [1] Capability Node: row_level_security · last verified 6h ago
  2. [2] Capability Node: tenant_isolated_graph_slices · v2.4
  3. [3] Architecture Node: hnsw_inline_embeddings · production
  4. [4] Compliance Node: SOC_2_TYPE_2 · status=in_progress · 2026
  5. [5] Compliance Node: EU_AI_ACT_ART_50 · status=ready · Aug 2026
Draft in 4.2s · 5 nodes · 92% confidenceEvery claim links to source · APEX auto-flags low confidence

Outcome stats

<5 hrs

AI-powered teams cut RFP response from 25 hours to under 5 — an 80% reduction.

+15-30%

Win-rate lift from AI proposal tools (Loopio 2026 Trends Report).

$725K

Average annual revenue lost to unfinished RFPs per organization — $875K for enterprise.

Competitive benchmark

The platforms you'd compare us to — and why sales 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.

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