Motif Analytics provides sequence analytics for growth and operations teams, letting users inspect event sequences (e.g., page view → add-to-cart → checkout) to find actions that influence outcomes. Its core interface includes a Sequence Operations Language (SOL) aimed at non-traditional SQL use cases and an interactive visualization; the company is also developing a fully featured drag-and-drop UI to broaden non-technical access. Motif embeds large language models into its analytics engine to model entire event sequences and surface probabilities that help identify where interventions matter. It also uses WebAssembly to enable working with local datasets in the browser without sending data to Motif’s servers for smaller workloads. The product targets heads of growth and operations who need practical, actionable insights rather than static dashboard metrics. Motif was founded by Mikhail Panko (CEO), Theron Ji (CTO) and Sean Taylor, with Panko and Ji having built similar internal sequence analytics tools while at Google; Panko also spent time at Uber.

Total raised

$6M

Funding rounds

1

Latest round

Seed

Latest activity

Feb 2024