Every answer comes back cited, current, and traceable.
Docs, wikis, drives, repos, PDFs. The answer exists, but nobody can find it fast.
It sounds confident, can't show its source, and you can't tell when it's wrong.
Last year's policy, the old price, the retired process, still quoted as fact.
More tools didn't fix it. You need one answer you can actually trust.
A knowledge engine, not another search box: it reads your documents once, so every question gets a clean, sourced answer.
per task (median) because compiled facts are served instead of raw chunks. Measured live vs strong RAG-Fusion.
108 questions, LLM-judged over 3 seeds, against a strong multi-query RAG-Fusion baseline on the same corpus and embedder. Higher is better; every Happy Knowledge answer is cited.
Per-query context vs the strong RAG baseline (median reduction shown per tier). 100% of answers cited, 100% gold-doc hit. 57 docs, 108 computed-gold questions, Qwen2.5-72B judge, 3 seeds.
Compact governed answers by default. We verify cheaply and escalate only the uncertain fraction; every escalation is cited, governed, and shifted left into draft knowledge.
Measured live on our first-party benchmark (57 docs, 108 questions, Qwen2.5-72B judge, 3 seeds). Factoid and multi-entity 100%, multi-hop now leads outright at 100% vs RAG's 92%. Compact answers cost ~180 tokens and the aggregation tool ~17; both stay LLM-free. Deep RAG is opt-in and off by default.
Click straight through to the document it came from.
Know how sure it is before you act on it.
Low-confidence questions get flagged, not faked, then queued for follow-up.
Per-seat tools re-search your documents on every question, and only answer people. Happy Knowledge compiles the answer once, for your team and your agents alike.
Nothing about your knowledge leaves the boundary you choose.
A short call to scope your sources and pick a start date.
Private, in our cloud or yours. Hosted and run by us.
Connect your key, then point it at your tools: GitHub, Notion, Confluence, Jira, Google Workspace, Microsoft 365, ServiceNow, Slack, Salesforce, Box, Dropbox, and more across 19 source connectors. We run the rest.
Your team and your agents get cited answers from day one.
Per-seat pricing grows with every hire, enterprise search runs into six figures, and the only knowledge-engine peer is enterprise-only.
A 100-person team on a per-seat tool: $24K to $60K+ a year, and rising.
List pricing as published in 2025 to 2026 (Glean, Microsoft, Guru, Notion); Pinecone Nexus is early access, no public price. Logos are illustrative.