Motif Analytics

Motif Analytics is a groundbreaking toolkit designed to assist analysts in identifying patterns within raw event sequences. It offers a range of interactive visualizations, specialized sequence manipulation tools, and an incremental query engine, enabling users to seamlessly switch between different levels of query precision, speed, and efficiency. Its goal is to help high-impact growth and operations teams overcome the limitations of slow SQL queries and superficial no-code tools, allowing them to move directly from analyzing raw event data to making informed decisions in a single session. The platform supports natural exploration of event sequences, enables users to perform complex queries with just a few simple operations, and provides complete expressive power along with fine-grained control. It also includes AI models specifically designed for working with event sequences.

Users can explore event sequences through a range of interactive visual tools in order to identify patterns within both user behavior and business processes. They can perform a limited number of sequence-based operations to query data, enabling them to express their intentions precisely and exert fine-grained control over the process—often achieving this with fewer than 10 lines of code. Compared to longer SQL queries, this approach represents a significant simplification for users. The platform also allows users to shift seamlessly between analyzing raw event data and making optimized decisions within the same session.

An interactive visualization tool used for identifying original events and patterns within user interactions or business processes.
Special sequence operations designed for querying event data, offering complete expressive power and precise control.
Incremental query engine, designed to facilitate trade-offs between query accuracy, speed, and cost.
AI models designed for event sequences
Real-time query