📣 We’re thrilled to announce Kayrros as Exabel’s newest data partner. Kayrros is contributing their geospatial dataset, derived from satellite imagery, to the Exabel platform. The dataset, called ‘Equity Tracker,’ provides data on over 100 tickers, focusing on LNG, cement, and steel equities. 📣

We have released a revamped KPI Screener, which allows for you to screen / monitor your watchlist of companies for potential results beats / misses, based on your alternative data subscriptions.

Over the summer, we've introduced Exabel models, a new feature offering KPI predictions out-of-the-box, based on curated mappings from your vendor subscriptions. Users also benefit from a redesigned watchlist editor, navigation updates, and enhanced functionality in KPI Analyzer and Plotter (previously Signal Explorer). Various improvements and bug fixes are included.

📣 Apptopia is the latest alternative data provider to partner with Exabel to bring their app traffic dataset to investment teams. The Apptopia Base and Advanced datasets provide investment teams insight into mobile performance on companies globally. 📣

📣 Drop Technologies is the latest alternative data vendor to collaborate with Exabel. Through this partnership, investors can now access Drop’s card transaction dataset, Drop+, directly on the Exabel platform. 📣

In the past 2 months, we’ve revamped the landing page, added support for more open-source & proprietary KPI model types, updated the sharing experience, and now allow creating dashboard tables with child rows. Plus, enjoy numerous improvements and bug fixes across the platform for a smoother experience.

📣 Sensor Tower, a leading provider of app traffic and app engagement data, is the latest alternative data vendor to partner with Exabel. Both their Store Intel and Usage Intel datasets are available on the Exabel platform. 📣

In the past 2 months, we're shipped a new multi-company KPI Analyzer, allowing you to view KPI model predictions across your entire watchlist. Easily prioritize important KPIs by starring them, and sort/filter based on reporting date, delta vs consensus, model error, and hit rate. Additionally, we now estimate KPI model error using point-in-time analysis, helping you understand model accuracy based on where we are in a quarter. A revamped dashboard table builder, new signal expression (DSL) enhancements, and other various improvements and bug fixes round out an eventful March/April for Exabel.

📣 Exabel has two new integrated datasets available on our alternative data platform! 📣

This month, we introduced customizable model weights in the KPI Analyzer, allowing more control for advanced users. Also, new probability distribution charts aid in visualizing KPI prediction uncertainty. Other improvements include relative and rolling consensus revisions, error alerts and live logs in Import Jobs, streamlined UI enhancements, and various bug fixes.