UNSCRAMBL
Changing the way the business users in any enterprise consume data -->have natural language conversations with your data
Published Oct 15, 2026
| Starting Price | Not publicly listed (custom; consumption-based daily metric) | Public starting points exist; historically marketed team-tier pricing and tiered options (details vary by edition) | Published per-user pricing in multiple tiers (Viewer/Explorer/Creator); specifics vary by contract and billing cadence |
| Primary Use Case | Teams-centric conversational analytics, especially Microsoft Teams; organizations seeking an analytics assistant embedded in collaboration workflows | Search/AI-driven analytics at scale; cloud-warehouse alignment | Visualization-focused BI programs with mature governance and a broad ecosystem |
| Key Strength | Collaboration-oriented analytics integrated with Teams and storyboarding; flexible deployment options (SaaS/customer cloud/on-prem) | Search-driven analytics with cloud-warehouse integrations and broader market recognition | Extensive visualization ecosystem and broad enterprise adoption; mature content creation and sharing workflows |
| Key Weakness | Pricing opacity; limited public security attestations; review identity ambiguity ("Qbo/QBO") | Cost and licensing complexity; potential unpredictability depending on query/consumption pricing | Per-user licensing can be costly at scale; authoring and governance can require specialist skill sets |
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