Imagine a world where satellite images aren't just pretty pictures, but instant, actionable intelligence. That's the future Simera Sense and Zaitra Partners are building, and it could revolutionize how we respond to disasters, manage resources, and understand our planet. But here's the problem: the sheer volume of data from these advanced Earth Observation (EO) satellites is creating a massive bottleneck, delaying critical insights.
On November 18, 2025, Simera Sense and Zaitra announced a strategic partnership that directly tackles this challenge. They're combining their expertise to create a new generation of EO systems – systems that don't just passively collect data, but actively process it in orbit to deliver immediate, usable information. Think of it as turning satellites from simple cameras into smart, decision-making hubs in the sky. The driving force behind this collaboration is a shared vision: to merge cutting-edge imaging with smart data compression, rapid object detection, and real-time decision-making capabilities, resulting in a game-changing onboard processing solution. This could completely transform the Earth Observation landscape.
This collaboration is happening at a crucial moment. The Earth Observation sector is experiencing explosive growth. Experts predict that between 2025 and 2034, we'll see 2.75 times more EO satellites launched compared to the previous decade! And even more impressively, the number of satellites equipped with space-based edge computing will quadruple. This surge is driven by two key factors: the increasing availability of high-resolution data and the ever-growing demand for real-time insights. By joining forces, Simera Sense and Zaitra are positioning themselves as leaders in this rapidly evolving industry.
The core issue they're addressing is the data bottleneck. Simera Sense's sophisticated sensors, like the MultiScape100 and HyperScape100, generate gigabits of data per image. This quickly overwhelms the available downlink capacity, slowing down the delivery of vital information. In situations where lives, property, or resources are at stake, such delays are simply unacceptable. Think about disaster response: every minute counts when coordinating rescue efforts or assessing damage.
So, how will this partnership solve the problem? They're implementing a four-step integrated approach to on-orbit processing:
- Capture: Simera Sense's instruments capture detailed multispectral and hyperspectral imagery. Multispectral imagery captures data within specific ranges across the electromagnetic spectrum, while hyperspectral imagery captures a continuous range of spectral bands, allowing for more detailed analysis. These images are specifically tailored for critical applications such as disaster response, agricultural monitoring, and urban planning. For example, in agriculture, different spectral bands can reveal the health and stress levels of crops long before they're visible to the naked eye.
- Detect: Zaitra's SKAISEN AI engine identifies high-value targets within the imagery. This includes urban areas, critical infrastructure, and disaster zones. But here's where it gets controversial... the AI also filters out irrelevant data, like clouds. While this reduces data volume, some might argue that even cloud cover data could be valuable for weather forecasting or climate modeling. What do you think?
- Compress Smart: SKAIPACK uses advanced JPEG2000 compression with Region of Interest (ROI) prioritization. This means that critical areas are preserved in lossless quality (meaning no data is lost), while lower-value areas are heavily compressed. This ensures that the most important information is transmitted with the highest fidelity. And this is the part most people miss... the ability to prioritize specific regions allows for a much more efficient use of bandwidth.
- Transmit Fast: SKAIDOCK provides high-speed onboard processing and progressive transmission. This guarantees that the most crucial pixels reach analysts within minutes of acquisition. Progressive transmission means that a low-resolution version of the image is sent first, followed by progressively higher-resolution data. This allows analysts to start working with the data almost immediately, even before the full image is transmitted.
In essence, the new onboard processing solution combines advanced imaging with AI-driven compression to overcome the data bottleneck and deliver actionable insights in record time.
Marek Marusin, CEO of Zaitra, highlights the transformative potential of this collaboration: "We’re bringing intelligence to the edge, enabling satellites to analyze data before they transmit and deliver insights exactly when they’re needed. Our technology achieves results 10 times faster and 10 times cheaper than the industry standard. And this is only possible thanks to our partnership with Simera Sense. Their flight-proven cameras provide the high-quality data our models rely on, enabling a seamless, integrated payload that raises the benchmark for commercial Earth observation.”
Thys Cronje, Chief Commercial Officer at Simera Sense, echoes this sentiment: "Our imagers produce some of the most detailed data in the industry, and we understand that delayed data means late decisions. With Zaitra’s Edge Suite onboard, we can overcome the bottlenecks that have long limited Earth Observation’s potential.”
About Zaitra: ZAITRA, a Czech space startup founded in 2020, is developing SKAISEN, an onboard AI-powered software, and SKAIDOCK, a space-grade Data Processing Unit. By enabling real-time data processing in orbit and enhancing mission autonomy, ZAITRA helps satellite integrators reduce reliance on ground segments. In 2024, ZAITRA secured EUR 1.7 million in pre-seed funding, and their products are already deployed in multiple commercial and defense missions.
About Simera Sense: Simera Sense, founded in 2018, is a leading provider of optical payloads and data analytics for satellite Earth observation. Headquartered in Belgium with offices in France, South Africa, and the United Kingdom, the company serves over 50 clients worldwide. They deliver end-to-end solutions for small satellite imagers across RGB, video, multispectral, and hyperspectral applications.
This partnership represents a significant step forward in the evolution of Earth Observation technology. But what are the potential downsides? Could increased on-orbit processing lead to concerns about data security or bias in AI algorithms? Share your thoughts in the comments below!
