Knorra starts with engineering, and grows across your whole organisation.
Engineering is live today. Sales, marketing, and support are next on the roadmap. Calm honesty about what's available, and a clear picture of where Knorra is going.
The flagship persona, fully supported today.
Engineering knowledge fragments fastest: runbooks drift from code, the same incident gets diagnosed twice in two Slack threads, and architecture pages out-live the systems they describe. Knorra reads the sources your team already uses and surfaces overlaps, decay, and recurring questions, with the reasoning shown on every finding.
incident-response.md still references the v1 Pagerduty webhook. The service was migrated to v2 in March (per change log).
Two engineers wrote near-identical migration scripts for the same table within a week. Neither shared.
Four JSM tickets this month report the same SSO loop after an IdP change. The fix is documented internally.
Soon, the same calm assistant for your account teams.
Sales knowledge lives in promises: an answer given to one prospect in Slack, a commitment written into a Google Doc, a customer ask that already has a public answer somewhere. Knorra will surface the contradictions and the answers your team already has, before the next call.
One AE promised a 30-day SLA in a Google Doc; another promised 14 days for a similar tier in Slack. Same product, same week.
A prospect asked about SOC 2 timing. The same question was answered by the team last week in #sales-help.
Illustrative. The sales connectors above are not yet built. The detection engine that produces findings like these is live today on the engineering stack.
Soon, surface the work your team has already done.
Marketing teams rewrite what they cannot find. The brief, the landing-page copy, the launch FAQ, the case study draft. Knorra will read across your sources and surface the existing work that matches the brief, before someone redoes it from scratch.
Two Google Docs describe the same Q3 launch with different positioning. Both edited this week, neither marked canonical.
A PM started a new case-study Doc for the same customer that already has a published page on the website.
Illustrative. The marketing connectors above are not yet built. The detection engine that produces findings like these is live today on the engineering stack.
Soon, the same trust signals for your support org.
Support teams answer the same question fifty times because the answer is written, but not findable. Knorra will read your help docs and ticket history and surface the canonical answer the moment a similar ticket lands, with evidence and confidence, never guessing.
Five Zendesk-style tickets in 30 days report the same CSV import failure. The fix is in your Confluence runbook, unlinked from the ticket form.
Your saved reply still references the legacy refund window. Policy doc updated 6 weeks ago.
Illustrative. The support connectors above are not yet built. The detection engine that produces findings like these is live today on the engineering stack.
Start with engineering. Grow from there.
Today the engineering stack is fully supported. Sales, marketing, and support are next. Trial Knorra now and we'll keep you updated as each persona rolls out.
3-day trial · no credit card · never trains on your data