Company attributes
Other attributes
Aistech Space uses satellites to generate high-resolution thermal imagery of Earth's surface and provide a new insight into the planet's changing resources. The company combines its own thermal imagery captured from space and other data sources to support sustainability efforts.
Aistech uses machine learning and proprietary software to integrate its own space data, from a constellation of small satellites, with other sources and applications to provide geospatial intelligence-based analytics services for a variety of industries, including agriculture, hydrology, environmental risk monitoring, security, and aviation.
Aistech's offerings include data services, such as ADS-B (Automatic Dependent Surveillance–Broadcast) data, thermal imagery, visible imagery, and near-infrared imagery. The company's delivery of ADS-B raw data offers the capability of providing aircraft positioning in any area of the world, including remote and difficult-to-access areas, as well as the ability to transmit data in specific protocols or formats.
Aistech's constellation is based on a multi-payload and multi-platform mission of 120 small satellites traveling across 10 orbital planes for full Earth coverage and low data latency.
The small satellites in the constellation are designed by Aistech. The constellation is based on a mix of small satellite platforms, 2U and 6U, with multiple payloads onboard. Aistechsat-3 was launched in April 2019 and was the company's first successful mission.
Following the design, integration, testing, and launch stages in a new pathfinder small satellite project, they are built at a rate of four satellites per month in a mass production facility. These facilities include office space, a materials storage area, small satellite integration bays, a propulsion bay, environmental facilities, and cargo storage.
The HYDRA platform (6U), designed by Aistech engineers, carries a payload purposed for earth surface observation. The MST is a multispectral telescope with a variety of sensors, including PAN, RGB, NIR, SWIR, MIR, and TIR. The multi-payload platform is completed with an ADSB receiver, a Space-IoT, and SIGINT technology. The total number of HYDRAs planned to deploy in orbit are 22 small satellites.
The DANU platform (2U) is a multi-payload platform focused on asset monitoring, integrating onboard an ADSB receiver, a Space-IoT and SIGINT technology. Aistech plans to deploy a total of 98 DANU small satellites into orbit.
According to Aistech, its satellite imagery can be used to deliver information regarding field conditions at a lower cost than traditional scouting methods, enabling rural farming communities, agri business enterprises, regional governments, and financial institutions to make informed investments and maximize their crop yields.
Aistech processes several kinds of remote sensing imagery (optical, NIR, TIR, SAR) that can be combined with ground data to gain insight into the dynamics of bodies of water and build predictive models to forecast how they will change over time. This information enables organizations to mitigate or prevent negative effects from water-related environmental impact, flooding, droughts, and unsanctioned usage.
Aistech uses satellite imagery to measure water condition parameters, such as chlorophyll levels and salinity, to provide real-time recommendations of locations with greater probability of high-yield fish harvest.
Aistech Space delivers deforestation and fire hazard monitoring, early warning, and prediction in a single platform tailored to client needs.
Aistech Space helps organizations monitor land cover and land use, which can aid them in the identification of rates, patterns, and proximal causes of deforestation. Along with forest inventories, this provides the foundation for monitoring, reporting, and verification systems. Example systems may be an early warning of forest degradation, or a system to quantify loss (or gain) in above-ground biomass.
In addition, Aistech can provide near real-time early warning, burnt area mapping, and fire risk modeling to help organizations minimize the effects and risk of fire events. This analysis will be based on Aistech’s own high frequency, high-resolution thermal infrared imagery, of which the company claims to be the only commercial provider. The key variables analyzed by Aistech to model fire risk are fuel type (optical or SAR) and fuel moisture condition (thermal).