Knowledge Foundation
Vector Knowledge Database
Your operational history, transformed into an active enterprise asset.
Historical tickets, customer data, and technical documentation are enriched, structured, and vectorised inside your own infrastructure — ready for semantic search, similarity matching, and AI-assisted analysis.
Data Pipeline
Sources are continuously ingested, enriched, structured, and vectorised — fully on-premise within your own infrastructure.
What Gets Ingested
- Historical tickets
- Customer contracts & employee data
- IT asset databases
- Network diagrams
- Wiki entries & internal documentation
- Technical customer documentation
- Emails & file repositories
- RMM & ticketing system data
Format-Independent
PDFs, emails, structured database exports, markdown, plain text — all ingested into a shared knowledge base.
Continuously Synced
Dataflows sync from connected systems every minute. No manual maintenance required to keep knowledge current.
Fully On-Premise
The vector database lives inside your infrastructure. Your data never leaves your environment uncontrolled.
AI-Agent-Ready
Every knowledge unit is indexed for semantic search, similarity matching, checklist generation, and BI analysis.
Knowledge Coverage Metric
Measure the percentage of incoming requests for which relevant internal knowledge already exists. Set coverage targets. Identify gaps proactively — before they become escalations. At 90%+ coverage, the foundation for automation is established.