SLAtech General-Business
71/100Baseline reference; vertical-routing native, RTL Hebrew polish
General-business eval scoreboard
SLAtech General-Business: 71/100
Reproducible 200-question general-business eval harness. Baseline reference against which all per-vertical specialised models are compared. Pairs with umbrella eval scoreboard, general-business glossary and general-business FAQ.
Score breakdown by category
| Category | General-Business | Generic competitor | Gap |
|---|---|---|---|
| Lead-capture quality Structured name + company + role + use-case intake. Generic chatbots collect contact form fields only — no qualification depth. |
78 | 68 | +10 |
| General FAQ coverage Hours / pricing / policy queries hit cached answer cards. Generic chatbots match here when given clean FAQ source. |
76 | 71 | +5 |
| Routing to specialist vertical Self-classification: identifies industry-vertical from query and routes to the relevant Med/Edu/Legal hub. Generic chatbots have no vertical-routing intelligence. |
80 | 52 | +28 |
| Multilingual support (HE / RU) Generic chatbots score slightly higher here due to broader auto-translate coverage — General-Business does not invest in vertical-specific HE/RU terminology. |
68 | 70 | -2 |
| Confidentiality / PII posture Basic PII redaction at ingest. Vertical models (Med, Legal) ship deeper redaction + BAA/UPL workflows. |
65 | 60 | +5 |
Competitor comparison
Intercom Fin (generic)
64/100Mid-market polish but English-first, no vertical-routing, no eval published
Drift (generic)
67/100Strong demo-booking but English-first, US-locale defaults
Tidio Lyro (generic SMB)
58/100SMB-priced but no Hebrew RTL polish, conversation cap on lower tiers
Continue the buyer evaluation
The per-vertical eval score is one input. Three more self-serve tools complete the picture without a sales call:
Reproduce the eval against your own tenant
Eval methodology is open-source. 200 sealed general-business questions with LLM-as-Judge scoring on factuality, hallucination and confidence axes.