# Unscrambl, Inc > Conversational analytics platform that lets business users query enterprise data in plain language ## At a glance | Field | Value | | --- | --- | | Category | Data & Analytics | | Type | Solutions Provider | | Region | NA | | Headquarters | Atlanta, Georgia, USA | | Founded | 2013 | | Stage | Growth | | Employees | 11-50 | | Funding | Series A | ## Overview Unscrambl is an augmented analytics and conversational business intelligence provider headquartered in Atlanta, Georgia. The company builds AI-powered data analyst tools that allow business users to query enterprise data using natural language, without writing SQL or operating a traditional BI platform. Its flagship product, Qbo, runs natively within Microsoft Teams and connects to data sources directly, without requiring data movement or replication. Qbo provides self-service analytics through a conversational interface, enabling users to request reports, surface trends, and generate visualizations through chat-style interactions. The platform includes semantic modeling to map relationships across complex data structures, and supports embedding analytics into third-party applications. Unscrambl serves clients across financial services, insurance, banking, telecommunications, and logistics sectors in North America, Asia-Pacific, and Europe. Founded in 2013 by Vibhore Kumar and Niket Vaidya, Unscrambl raised a Series A round of USD 7M in 2017 and participated in the 2021 gener8tor OnRamp Insurance and Wealth Accelerator, sponsored by Allianz Life and Securian Financial. In 2022, Gartner named Unscrambl a Cool Vendor in Analytics and Data Science. In July 2024, an undisclosed global systems integrator acquired the Qbo Decisions technology and team to integrate into its marketing technology platform; the Unscrambl brand and remaining product portfolio continue to operate. ## Products & services ### Qbo An AI-powered data analyst available within Microsoft Teams. Business users ask questions in natural language and receive data-driven answers, charts, and reports without SQL or BI tool training. **Key features:** - Natural language query over enterprise data sources - Native Microsoft Teams integration - No data movement required \-\- connects directly to source systems - Automated chart and visualization generation *Target users:* Business analysts, operations teams, insurance carriers and financial services firms seeking self\-service analytics ### Qbo Insights An analytics product focused on surfacing patterns and insights from existing data sets through conversational interfaces. **Key features:** - Automated insight generation - Data storytelling with presentation\-ready outputs - Scheduled reporting and alerts *Target users:* Business teams needing recurring analytics without analyst dependency ### Embedded Analytics Enables third-party applications to integrate Unscrambl's conversational analytics capabilities via API. **Key features:** - API\-based integration into existing applications - White\-label capable - Semantic modeling layer for data relationship mapping *Target users:* Software vendors and platforms seeking to add analytics to their product ### Data Stories Generates presentation-ready data visualizations for cross-team communication and reporting. **Key features:** - Automated narrative generation - Export\-ready charts and summaries - Integration with Qbo natural language query *Target users:* Management teams and executives needing communication\-ready reports ## Category & focus - Subcategories: Conversational BI, Augmented Analytics, Embedded Analytics, Natural Language Query - Insurance verticals: Life & Annuity, P&C Commercial, Group Benefits - Target customers: Carriers, Brokers, MGAs/MGUs ## Notable customers - Philam Life \(insurance\) - Metrobank - DBS Bank - UB \(Banco Industrial\) - WEG - Singapore Post ## Links - Website: - Directory profile: - Linkedin: - Press kit: --- *Last updated: 2026\-04\-09*