At Space Symposium 2026, Laura Todd spoke with Don Osborne, CEO of EarthDaily, about how the company is rethinking Earth observation from the ground up.
EarthDaily is preparing to deploy its constellation in phases throughout the year, with multiple satellite launches planned to deliver a system capable of generating up to 100 terabytes of data per day. But the focus is not just on scale. It is on data quality.
The company’s approach challenges a long-standing issue in Earth observation. Poor or inconsistent data leads to unreliable outputs, especially when applying machine learning and AI. Cleaning data after collection is costly and limits the value of analytics.
EarthDaily’s solution is to design the system around the end user from the start. Instead of building satellites first and searching for applications later, the company has worked backward from customer needs. The result is data that is structured, calibrated, and ready for analysis from day one.
This approach is combined with continuous, non-tasked observation. Rather than focusing on selected locations, the system captures data globally and repeatedly, enabling a more complete view of change over time. The goal is to move from reactive insights to predictive intelligence.
To support this, EarthDaily has also invested in analytics capabilities and built relationships across key markets, including agriculture, finance, and defence. Early demand suggests strong interest, particularly in applications that require large-scale monitoring and timely insights.
As the constellation comes online, the company aims to demonstrate that the value of Earth observation is not just in collecting data, but in delivering information that can be directly used.
The shift is clear. In a data-driven space economy, quality is becoming as important as quantity.
