Narrator’s core product restructures warehoused data into an 11-column single-table called the Activity Stream to replace star/schema approaches and speed analysis. The product surfaces analyses as story-like "Narratives" so analysts can generate queries in hours rather than weeks. It offers a self-serve SaaS pricing model with a free tier for the first 5 million rows and usage-based tiers priced by rows, users and Narratives. Narrator began as a consultancy, validating the approach while delivering modelling and analytics to customers, and its team says initial setup takes about 30 minutes and a month to master. The company reports operating metrics showing customers average ~20 transformations (vs hundreds in star schema), transformations average ~22 lines (vs 1,000+ lines traditionally), and report/analysis generation averages four minutes (vs weeks previously). Longer-term plans include expanding beyond startups into more verticals and open-sourcing core components so third parties can build data products on the framework. Narrator provides a subscription data-modeling platform that standardizes disparate company data into a single, reusable format and effectively sells the equivalent of a data team for the price of an analyst. The product is marketed as an "infinitely scalable" data system that customers can deploy within their first month. The founding team—all alums of WeWork—built the core model based on systems developed at WeWork, where CEO Ahmed Elsamadisi helped scale the data organization. Narrator is working with 14 clients today, each using the same consistent data model. The company is YC-backed and aims to become the operating system for data science across startups. Narrator previously raised $1.3 million in seed funding and is expected to pursue another round soon, according to the article.

Total raised

$6M

Funding rounds

2

Latest round

Series A

Latest activity

Sep 2020