- Type
- not stated
- Format
- Text (ticket requests and chat transcripts) + Tabular (ticket metadata, categories, outcomes, sector/scale attributes)
- Volume
- Very large — hundreds of tenant ticket corpora over 9+ years; order of 10-100M ticket records with text, metadata and outcomes (a service desk of 1,000 employees generates ~5-15K tickets/month, so a few hundred tenants over 9 years lands in the tens of millions)
- Users
- N/A — B2B SaaS sold to enterprise service desks, so the relevant unit is tenant organizations, not registered users; est. 100-500 enterprise deployments (inferred from 'hundreds of service desks' in the benchmark's evidence base)
- History
- 9 years
- Update frequency
- not stated
- Growth
- Active — 2026 benchmark report published, ~130 employees, revenue range ~$50M, actively marketing agentic-AI ITSM product line
- Launched
- ~2016-2017 (vendor states '9+ years in the AI service desk industry' as of its 2026 benchmark, placing market entry ~2016-2017)
- Delivery
- not stated
- Entity mapping
- not stated
- Sample
- not stated
- Point-in-time
- not stated
- Licence
- not stated