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Unlocking Satellite Data with Fused

  • Former Uber engineers, Sina Kashuk and Isaac Brodsky, created Fused, a serverless-based platform for efficient satellite data extraction.
  • Fused consists of a user-defined function (UDF), Fused Workbench for visualizations, and a back-end API for data interaction.
  • Fused's development follows challenges faced by the founders with their previous venture,, leading to a focus on monetization.

Former Uber engineers Sina Kashuk and Isaac Brodsky have come together to create an innovative product called Fused. This serverless-based platform utilizes open-source tools to efficiently extract data from satellites and seamlessly integrate it into various applications.

Fused operates as a three-part system, processing satellite data stored in repositories to generate visually appealing representations for applications such as Excel, Airtable, and Notion. What sets Fused apart is its remarkable simplicity and lightning-fast processing speed.

Kashuk shared that the development of this solution came after their previous venture,, was acquired by Foursquare. They faced challenges in monetizing an open-source platform, which led them to invest time and effort into creating Fused.

This Python-based system has gained popularity among data scientists and developers alike. It all starts with a user-defined function (UDF), which serves as an open-source visualization template. The Fused Workbench plays a crucial role in creating these visualizations and is now readily available. 

Having launched just last year, Fused has been collaborating with early beta customers to refine its offerings. The company has also secured $1 million in pre-seed funding from Fontinalis Partners and industry angels, further fueling its growth and development.

Edited by Shruti Thapa