Outlier AI

AI-powered data analytics and business analysis platform
our rating 4 out of 5 Stars

Outlier AIProduct Overview

  1. About Outlier AI
  2. Pros of Outlier AI
  3. Cons of Outlier AI
  4. Breakdown of core features

Outlier AI product overview

Outlier.ai is a business analysis platform that uses advanced AI to help enterprises identify daily and impactful changes in their critical business data. This automated platform finds unforeseen patterns and relationships so business leaders can improve the customer experience and capture new growth opportunities. Organizations can integrate Outlier.ai with multiple data sources to gather business insights, identify potential opportunities, and address the unexpected.

Outlier.ai is not designed to look or feel like a BI tool; it exists to augment the capability and capacity of tools and users. Once connected, Outlier.ai will process the data and deliver insights to users in days.

Outlier.ai delivers insights in three ways: through automated alerts via email, a feed of curated insights, and explore, which offers access to all models and insights created over time. Outlier.ai insights are called stories. Stories include a headline and visual identifying the unexpected change, details for users to understand the impact and potential causes of the change, and multiple areas for further investigations in the form of additional questions and segments for exploration.

Pros of Outlier AI

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  • Outlier.ai leverages AI techniques to analyze data and find unexpected changes, acting as a virtual business analyst. It can find insights immediately, minimizing the dependency on data scientists. It serves up those insights directly to the line of business owners. The platform automatically surfaces insights across huge amounts of data, reducing the amount of time required to take advantage of opportunities and fix problems.
  • It works over a myriad of data sources to perform analysis, including cloud-based services and cloud or on-premise storage.

Cons of Outlier AI

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  • Enterprises that do not have defined data sets to leverage need to ensure their data is prepped properly.
  • Businesses must minimize the number of facets and know the facets it wants to leverage on grouping the data so users won’t be overwhelmed by too many insights.

Breakdown of core features

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Visible differentiation

Outlier.ai is designed to be simple for the business user. It doesn’t require logins or queries and presents everything as a simple feed that surfaces important data outliers called Stories. Users can drill down to these Stories as needed.

Zero effort integration

Business users no longer need to get help from IT to manage their data analysis — they can do it themselves on the platform. Marketing teams can integrate their tools and immediately get insights on their timeline without the need for coordination.


Outlier.ai works with any supported data integration that houses a high volume of time series data.

(Last updated on 02/02/2022 by Liz Laurente-Ticong)

Quick Facts

  • Industry Specialties
    Advertising / Media / Publishing, Banking / Accounting / Financial, Computer and Technology, eCommerce, Enterprise, Hospitality / Entertainment / Travel, Financial Services, Food and Beverage, Healthcare, Marketing / Public Relations, Manufacturing, Pharmaceutical, Retail and Wholesale, Software / Web Development, Telecommunications, Transportation / Shipping
  • Pricing
  • Works Best For
    Enterprise Businesses





  • Monitors entire business
  • Automatic discovery of new developments based on data changes
  • Simple explanations for business users
  • Proactive email notifications
  • Delivering new insights
  • Objective insights based on data
  • Library of data Stories and analysis
  • Shareable Stories
  • Root cause analysis
  • Pre-built data connectors


  • Adobe Analytics
  • Amazon Redshift
  • Druid
  • Facebook
  • Google Ads
  • Google Analytics
  • Google Analytics 360 Suite
  • Google Big Query
  • Impala
  • MailChimp
  • Mandrill
  • Microsoft SQL Server
  • Mixpanel
  • MySQL
  • PostgreSQL
  • Presto
  • SendGrid
  • Snowflake
  • Teradata
  • Zendesk

Pricing Model

  • Based on number of integrations to cloud-based services and/or the number of columns in attached SQL databases.


  • English