Kyligence
Augmented OLAP and Unified Metric Stores for High-Performance Cloud Analytics.
The first data modeling platform built for the Activity Schema to enable infinite customer journey analysis.
Narrator is a revolutionary data modeling and analysis platform that fundamentally shifts how enterprises interact with their data warehouses. By utilizing a single, standardized data structure known as the Activity Schema—which consists of one massive table containing timestamps, customer identifiers, activities, and metadata—Narrator eliminates the need for complex, brittle star schemas and OBT (One Big Table) architectures. This technical approach allows data teams to model data once and reuse it across any number of business questions, enabling temporal joins that are historically difficult in standard SQL. In the 2026 market, Narrator stands as a key 'Warehouse Native' solution, allowing companies to keep their data in Snowflake, BigQuery, or Redshift while providing a UI-driven 'Assembler' to build datasets in minutes. Its unique 'Narratives' feature goes beyond dashboards, providing automated, written analysis that explains the 'why' behind data trends, effectively serving as an AI-driven decision support system for marketing, product, and operations teams.
Standardizes all data into a 11-column table (activity_id, customer, activity, timestamp, etc.), enabling universal analysis code.
Augmented OLAP and Unified Metric Stores for High-Performance Cloud Analytics.
AI-powered adaptive math learning that identifies and bridges learning gaps through granular skill modeling.
Transform raw data into real-time metrics with a powerful semantic layer and automated BI dashboards.
The AI-powered data scientist that automates complex analysis, visualization, and predictive modeling through sandboxed code execution.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A UI-based query builder that generates high-performance SQL for complex temporal joins (First-ever, Last-before, etc.).
Joins activities based on the timestamp of occurrence relative to a primary event, rather than simple keys.
Automated data analysis presented in a blog-like format with embedded charts and text explanations.
All data processing and materialization occur directly within the client's Snowflake or BigQuery instance.
A built-in logic layer that links various identifiers (anonymous IDs, emails, user IDs) into a single customer timeline.
Because the data structure is standardized, Narrator offers a library of pre-built analyses that work instantly on any data.
Determining which marketing channels actually drive revenue across a 6-month sales cycle.
Registry Updated:2/7/2026
Apply Linear or U-shaped attribution logic in the UI.
Identifying patterns in user behavior that lead to cancellations.
Ranking leads based on specific in-app milestones.