PYRAMYD vs Glean
Glean grounds in your data. PYRAMYD grounds in the product market.
Both are graph-grounded AI platforms. The difference is what each graph contains · and which questions each one was built to answer. Most enterprise teams will buy both.
Side-by-side
What each platform is built for.
Both products use a graph substrate · the difference is which graph. Below is what each one indexes, how the citation model works, and where the per-seat economics land.
| Dimension | Glean | PYRAMYD |
|---|---|---|
| What it indexes | Your internal documents · Google Drive, Slack, Notion, Confluence, Jira, email, calendar. | The public product market · 249K+ enterprise software products, 2,539 categories, 2.4M+ reviews, 1,000+ live signal sources. |
| Graph type | Permissions-aware document graph · who-can-see-what across your SaaS stack. | Typed product graph · 90 universal node types, public + tenant slices. |
| Best for question | 'What did our team decide about X?' 'Where's the doc that explains Y?' | 'How do we compare to competitor X?' 'Which vendors fit ICP Y?' 'What shipped in category Z this week?' |
| Refresh cadence | Real-time on document changes (push-based connectors). | Weekly default on the graph · real-time on any node on demand. 1,000+ source feeds, 38s median source-to-graph latency. |
| Citation model | Cites the source document with permissions check. | Per-claim citation chain (source URL, retrieval timestamp, model, prompt hash, quality, confidence) · Article 50 ready. |
| Agentic surface | Agentic Engine 2 · workflow automation, document-based skills. | APEX · 20 specialist agents, 156 graph-grounded tools, MCP-native, supervisor + worker pattern. |
| Per-seat list price (2026) | ~$25-50/seat/mo at enterprise volume (Vendr median $97.5K/yr ACV). | Free Foundation, then five hubs from $150/seat/mo (Explore · Competition · Customer · Product · Studio). |
| Data residency | AWS · US, EU, single-tenant available enterprise. | AWS · US, EU, APAC, single-tenant on Enterprise tier. |
| Deployment model | SaaS · indexer runs in customer cloud or Glean cloud. | SaaS · tenant graph slice on PYRAMYD cloud; MCP delivers into customer environment. |
When to pick each
They solve different problems.
The cleanest evaluation: list the five hardest questions your team asks each week. If most of them resolve inside your corpus, that's Glean. If most of them are about the market, that's PYRAMYD.
Pick Glean when
- Your team needs to search across internal documents, Slack threads, Jira tickets, and email simultaneously.
- Permissions are the dominant retrieval constraint (sales rep should not see CFO docs).
- Most questions resolve inside your own corpus · 'where's the spec?', 'what did we decide?'
- You already have the competitive/product intel you need from other tools.
Pick PYRAMYD when
- Your team asks competitive, category, or market questions · 'how do we compare to Salesforce?', 'who's moving in our category?'
- RFP responses, battlecards, product-market-fit analyses are the workflow.
- You want one platform that replaces Klue + Crayon + Loopio + Highspot + Productboard.
- Procurement is asking for Article 50 provenance · every claim cited, machine-readable AI marking.
Bottom line
Glean is the trust layer for what your team already knows. PYRAMYD is the trust layer for what the market is doing.
Most enterprise teams will buy both within 18 months. The integration story is straightforward · both are MCP-native, both expose tool surfaces to Claude / ChatGPT / Cursor / your internal LLM. They compose.
See PYRAMYD answer a market question Glean can't.
30 minutes. Bring a competitive or category question. We'll show the multi-hop traversal, the citation chain, and the workflow it powers.