Uncover root causes, key drivers, and underlying trends with a single click. Get AI-driven analysis from across all your data sources in seconds.
Discover Insights Automatically and Effortlessly
Uncover the Why Behind the What
Understand why metrics are changing in an explainable and actionable manner. Explore more combinations in your data than previously possible and identify key insights that lead to higher-value analysis to drive your business forward.
Identify Key Performance Drivers
Discover hidden drivers of your business and keep a pulse on existing KPIs without hours of manual analysis.
Compare Differences Between Cohorts
Identify patterns and compare differences amongst groups of customers, products, brands, etc. to inform better business decisions faster.
Discover New Meaningful Segments
Automatically spot new segments — and run in-depth analytics by segment — for discovery (i.e. which customers or markets to go after?) and optimization (i.e. personalization, targetted lists, etc.).
Automate the Analysis Process for Faster Insights
From Business Questions
Ask questions across data sources
Automatically analyze all possible combinations
Share insights and root analysis with narratives
To Business Outcomes
Instantly Go From “What” and “Why” to Actions
Ask questions across data sources
Automatically analyze all possible combinations
Share insights and root analysis with narratives
Get Answers to Questions You Did Not Know to Ask
Get push notifications on meaningful changes to KPIs and unexpected anomalies in your data
Continuously monitor key metrics at a granular level and proactively stay ahead of emerging trends
Obtain root cause analysis for instant diagnostics and actionable intelligence
The Right Insights From the Right Algorithms
Insights
Feature Engineering
automated feature engineering
automated data prep for insights
Insight Ranking
AutoML
Smart Charts
Segment Creation
NLG
Feature Engineering
Algorithms & Ranking
Tellius generates answers by automatically choosing the relevant algorithms and ranking the resulting insights
Automated feature engineering provides correlation handling, null handling, and feature scaling for ML algos
Model metrics and explainable AI are exposed to provide transparency and build trust in machine learning
Flexibility to customize models allows users to iterate and shape resulting analysis based on domain expertise
Insights That Learn From You
Gathers Explicit User Feedback
Users can enhance insights with explicit feedback to ensure relevant, trusted, and accurate machine-discovered findings. Humans remain in the loop to fine-tune models.
Listens to Implicit User Preferences
The system learns from user interactions, content consumed, data sources used, and data attributes frequently employed to personalize the experience for every user.
We've vastly improved data access for business users and analysts, easily answering ad hoc questions and revealing new insights with little or no training.
