Unscrambl

Unscrambl is an augmented intelligence company founded in 2013 and based in Atlanta, with a long standing focus on what it calls conversational analytics. Its product, Qbo, is an artificial intelligence powered data analyst that lets a business user hold a two way conversation with company data in plain English and get back charts, explanations, and full storyboards. The pitch is aimed squarely at non technical decision makers who want the answer to a business question in seconds rather than waiting weeks for a report from an overloaded data team. Unscrambl has been recognized by Gartner across several years in the conversational analytics and continuous intelligence categories.

What sets Qbo apart is where it lives. Rather than being another separate dashboard to log into, Qbo is delivered inside the collaboration tools where people already work, most notably Microsoft Teams, and also Slack and Zoom. A user asks a question the way they would ask a human analyst, and Qbo replies with an interactive visualization, a short explanation, and suggested follow up questions. Because it runs inside Teams, colleagues can analyze together in a group chat, drill into the numbers, build boards, and present findings without leaving the conversation, which spreads data literacy as people learn from each other's questions.

Underneath, Qbo connects through out of the box connectors to the common databases and applications a company already uses, and it queries data live whether it sits on premises or in the cloud, including data lakes, with no need to copy or move the data. This gives a single view across internal and external sources such as sales, marketing, operations, and customer records. Qbo also brings augmented analytics to business users, automatically surfacing root causes, changes in key metrics, and underlying trends in plain language, so people move from what happened to why it happened without needing a data scientist.

Governance is handled with both role based and row based access control, so each person only sees the data they are permitted to, which matters to the telecommunications companies, banks, insurers, and retailers that make up much of Unscrambl's customer base. The product is sold to enterprises rather than through a public self serve tier. Pricing depends on the richness of the underlying data model and the number of users, and is charged against a daily consumption metric, so buyers arrange terms through a sales conversation. Qbo suits large organizations that want to put conversational, governed analytics in front of every employee inside the tools they already use.