Product Operations
33%
of PM time lost to firefighting, reporting, and data wrangling
96% of orgs now have Product Ops, but teams still lack real-time product intelligence.
Pain
“We can't see competitor moves fast enough to act.”
The Product Graph Platform
Product Graph.
The graph-powered operations & intelligence platform for enterprise software teams.
Product Graph unifies competitive intelligence, sales enablement, and product operations — grounded in a live knowledge graph that connects the broader enterprise software market and firmographics directly to your normalized user data.
252K+ Products2.6K Categories2.5M+ Software Reviews
Backed by Berkeley SkyDeck & AWS
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Trusted by modern enterprise software teams
Corelight
AWS
Berkeley SkyDeck
Mastra
CopilotKit
Scrut.io
The AI Context Crisis
Enterprises are scaling AI faster than they can ground it.
99% of organizations report AI-related financial losses in 2025. The average enterprise loses $4.4M to hallucinations and ungrounded model outputs.
Crisis Metric
99%
Organizations reporting AI-related financial losses in 2025
EY Responsible AI Survey · 2025
$4.4M
Average annual loss per enterprise from AI hallucinations and ungrounded model outputs.
EY · 2025
47%
Enterprise AI users who made at least one major business decision based on hallucinated content.
Deloitte
85%
2026 enterprise AI adoption rate, with 91% now implementing explicit hallucination mitigation protocols.
Gartner
The EU AI Act Article 50 mandates AI output transparency by August 2026 — non-compliance penalties reach 7% of global annual revenue.
The Operational Problem
Product, Marketing & Sales are drowning.
Every team owns a fragment of the same intelligence — and none of it is grounded.
Marketing & CI
70%
of the B2B buyer journey happens before vendor contact
CI teams are overloaded, and battle cards go stale before sales can use them.
Pain
“Our competitive intel is outdated by the time it reaches the field.”
Sales & RFX
39%
of enterprise revenue is influenced by formal RFPs
Unfinished RFPs cost organizations $725K per year on average.
Pain
“Every RFP feels like rebuilding the answer from scratch.”
Product, Marketing, and Sales teams all need the same intelligence — but each owns a fragment, and none of it is grounded.
The Platform
One platform. Three layers. Built on a live graph.
Product Graph is a proprietary data engine + collaborative workspace + AI copilot — purpose-built for the teams who win on intelligence.
Layer 03
APEX Copilot
Agentic AI grounded in the Product Graph, not the open web — every answer auditable, every citation traceable.
Layer 02
Collaborative Workspace
Persona-tuned modules for Product Ops, Competitive Intelligence, Sales Enablement, and RFX Management — sharing one source of truth.
Layer 01
Data Engine
Continuously enriched knowledge graph of 250,000+ enterprise software products across 2,606 categories, with 1,000+ live signal sources and 2.5M+ software reviews.
Built on Graph RAG, not Vector RAG. Built on real product data, not scraped text. Built for enterprise software teams, not generalists.
One Graph, Four Jobs to Be Done
Built for the four teams that win on intelligence.
Each use case shares the same graph, the same copilot, and the same source of truth — so what one team learns, every team can act on.
Use Case 01 of 04
Competitive Intelligence
2,606 live category taxonomies, 2.5M+ reviews aggregated, 1,000+ signal sources, and auto-generated battle cards your sales team actually trusts.
Read the use caseUse Case 02 of 04
Product Operations
Feature Market Fit scoring across 250K+ products, weekly competitor feature tracking, and cross-team alerts when the market moves. 34% faster time-to-market.
Read the use caseUse Case 03 of 04
Sales Enablement & RFX
RFP intake auto-matched to the graph. APEX drafts cited responses. Sub-5-hour RFPs and a 15–30% win-rate lift from AI proposal tools.
Read the use caseUse Case 04 of 04
AI Context Management
A universal context layer with an MCP server, row-level security, and tenant isolation. The trusted layer underneath every grounded AI workflow.
Read the use caseThe Data Moat
Six layers of defensibility, compounding monthly.
Internal estimate: replicating this data asset from scratch would require 12–24 months and $1–3M of focused engineering and data acquisition spend. PYRAMYD's lead compounds weekly.
01
Volume
250,000+ enterprise software products · 2,606 categories · 2.5M+ aggregated reviews.
02
Velocity
1,000+ signal sources continuously refreshed. Multi-tiered refresh architecture that learns from release cadence.
03
Variety
88 universal node types · 200+ pre-transformed connectors · 183 bi-directional data flows.
04
Governance
SOC 2 Type 2 · ISO 27001 / 42001 · GDPR · CCPA. Every signal carries provenance with real source URLs.
05
Network Effects
Every customer's RFX responses, battle cards, and win/loss data privately enrich their tenant's graph slice — and aggregate trends improve the public graph for all.
06
AI Specialization
Inline embeddings on every node + HNSW indexes + Mastra Graph RAG = vertical AI that no horizontal copilot can match.
Built for Enterprise
Trusted by procurement. Priced for teams.
Enterprise-grade compliance from day one, with pricing built to land, expand, and compound.
Security & Trust
See how we keep your data yours.
SOC 2 Type 2 · ISO 27001 · ISO 42001 · GDPR · CCPA · AWS Well-Architected. Row-level security, tenant-isolated graph slices, and audit-ready AI answers.
EU AI Act Article 50 ready — August 2026 deadline.
Read the security posturePricing
Simple plans that grow with your team.
Starter, Growth, and Enterprise tiers from $50K/yr. Every plan includes the full graph, the workspace modules, and citation-backed APEX answers — with metered token compute beyond plan inclusion.
See pricing