Tilebox

Tilebox

Helping developers work with space data.

HQ location
New Jersey, United States
Founding location
Vienna, Austria
Launch date
Employees
Enterprise value
$7—10m
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Tilebox is a specialized software firm targeting the burgeoning space technology sector. Established in 2022 by co-founders Laura Costa and Stefan Amberger, the company provides a purpose-built software framework for managing and orchestrating space data pipelines. The founders, both experienced software and data engineers, created Tilebox to address the common challenges of fragmented tooling and manual data handling that hinder in-house technical teams in the space industry. Their collective background in areas like GIS, remote sensing, and high-performance computing directly informs the company's mission to resolve data pipeline bottlenecks.

The company operates in the 'midstream' segment of the space data value chain, bridging the gap between raw satellite data collection (upstream) and end-user applications (downstream). Its clients are primarily satellite operators, data providers, and system integrators who need to process vast amounts of information efficiently. Tilebox's business model is a tiered Software-as-a-Service (SaaS) subscription, offering different plans based on data capacity and support levels, ranging from a free community tier to custom enterprise solutions. This structure allows the firm to serve a range of clients from individual developers and startups to large organizations with complex, security-critical applications.

The core offering is a lightweight, cloud-agnostic software framework that streamlines data management and distributed workflow orchestration. It provides tools for developers and data scientists to build, test, and scale data processing workflows across various infrastructures, including on-premise, cloud, and even in-orbit for edge computing. Key features include high-performance APIs for instant data access, a parallel processing engine to create and manage complex tasks, and the ability to work with a customer's existing infrastructure, ensuring they retain full control over their data and algorithms. This approach is designed to reduce data transfer costs, minimize latency, and accelerate the development of new data products, ultimately helping clients to better monetize their space assets.

Keywords: space data, data pipeline, workflow orchestration, midstream, distributed computing, satellite data, SaaS, data management, edge computing, aerospace

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