
San Francisco, California, USA
2017
Aerospace, Defense, Satellite Manufacturing, Earth Observation, Artificial Intelligence, Satellite Operations, Government, Space Infrastructure
Loft Orbital is a space infrastructure company providing satellite platforms, hosted payload services, and orbital computing capabilities for commercial and government organizations. Its standardized spacecraft architecture allows customers to deploy hardware payloads and software applications without developing and operating their own satellites. The company combines satellite integration, mission operations software, and onboard processing infrastructure to support Earth observation, telecommunications, defense, and artificial intelligence applications. Its approach is based on shared and configurable satellite infrastructure that accommodates different missions using common hardware and software systems.
Loft Orbital provides end-to-end satellite mission services, including payload integration, spacecraft testing, launch coordination, commissioning, and orbital operations. Customers can deploy physical instruments aboard Loft’s satellites or run software applications using computing resources already operating in space.
Its Hub universal payload adapter connects different customer payloads to standardized spacecraft platforms, while its Cockpit mission control software enables payload tasking and monitoring. Loft manages the underlying satellite systems, ground communications, and routine spacecraft operations.
The company also provides on-orbit AI computing, allowing developers to deploy machine learning models that process satellite sensor data before transmission to Earth. Its services support individual payload missions, dedicated spacecraft, and multi-satellite constellations.
Loft Orbital’s technology combines standardized satellite buses with proprietary hardware and software interfaces that separate customer payloads from the underlying spacecraft. Its Hub universal payload adapter provides common interfaces for electrical power, communications, command and control, and onboard computing. This architecture allows different instruments to operate on compatible satellite platforms without requiring extensive spacecraft redesign for each mission.
The company’s Cockpit software provides a web-based environment for satellite payload operations. Customers can schedule activities, send commands, monitor payload status, and retrieve mission data through Loft’s ground communications infrastructure. The platform also supports API integrations with external mission management systems.
For software-based missions, Loft operates orbital edge computing infrastructure equipped with CPUs, GPUs, imaging sensors, software-defined radios, and connectivity systems. Developers can deploy applications that process satellite observations directly in orbit, including machine learning models for image classification, object detection, and environmental monitoring.
Its Ultimate Edge development environment supports containerized applications and provides a framework for testing software before deployment to spacecraft. Loft’s Hub Compute architecture also connects multiple onboard computing units to support concurrent processing workloads. These technologies allow customers to use satellite sensors and computing resources without developing dedicated flight hardware.
Traditional satellite missions often require organizations to design spacecraft, integrate payloads, arrange launches, and maintain dedicated mission operations infrastructure. Loft Orbital addresses these requirements through standardized satellite platforms and shared orbital services, allowing customers to concentrate on their instruments, applications, and mission data.
Its approach is relevant to the growing demand for satellite-based intelligence, communications, and environmental monitoring. By supporting both physical payloads and software-only missions, Loft extends access to orbital infrastructure beyond organizations capable of building spacecraft.
The company’s development of AI processing directly in orbit also reflects a broader shift toward distributed space computing, where satellite data can be analyzed closer to its source rather than relying entirely on ground-based processing.
Hub is Loft Orbital’s universal payload adapter, providing standardized electrical, computing, communications, and command interfaces between customer instruments and satellite buses. It supports the integration of different payloads without extensive modifications to the underlying spacecraft, enabling Loft to reuse established satellite platforms across multiple missions.
Cockpit is a web-based mission operations platform that enables customers to command, monitor, and manage payloads operating aboard Loft satellites. It supports payload tasking, telemetry monitoring, mission scheduling, and data access through a common interface, with API connectivity for integration into external software systems.
Ultimate Edge provides a development environment for deploying software applications to computing resources aboard Loft satellites. It supports containerized applications, AI models, and satellite sensor data processing, allowing developers to test and execute orbital workloads without supplying their own spacecraft hardware.
Longbow is a standardized satellite platform used for low Earth orbit missions requiring payload hosting, communications, and onboard processing. Combined with Loft’s Hub adapter, it supports different customer instruments while retaining established spacecraft hardware interfaces and operational heritage.
Loft Orbital’s infrastructure supports Earth observation and geospatial intelligence by hosting optical, hyperspectral, thermal, and other satellite sensors used to monitor environmental conditions, agricultural activity, infrastructure, and geographic changes. Its satellite platforms also support communications payloads, scientific instruments, and technology demonstration missions.
In defense and national security, the company provides spacecraft infrastructure for intelligence collection, maritime monitoring, and experimental sensing capabilities. Its on-orbit AI processing enables applications such as ship detection, image analysis, and automated identification of changes in satellite imagery.
Additional applications include wildfire monitoring, atmospheric research, satellite communications, and software testing in the space environment. Customers can deploy dedicated payloads or access existing orbital computing and sensing resources.
Hub is a hardware interface that connects customer payloads to standardized satellite buses. It provides common interfaces for power, communications, computing, and spacecraft control, allowing different instruments to operate on compatible satellite platforms without extensive modifications to the underlying spacecraft.
Yes. Loft Orbital supports software-only missions through its on-orbit computing infrastructure. Developers can deploy AI and machine learning applications that access satellite sensors, process imagery, and generate analytical results directly in orbit without providing dedicated satellite hardware.
YAM, short for Yet Another Mission, is Loft Orbital’s satellite mission series supporting multiple customer payloads and software applications. Satellites such as YAM-6 and YAM-9 incorporate imaging sensors, communications equipment, and onboard computing resources for commercial, scientific, and government missions.
Loft Orbital provides HubKit, a flight-representative testing environment that allows customers to validate payload hardware and software interfaces before spacecraft integration. Engineers can test electrical connections, commands, data exchange, and operational behavior using interfaces corresponding to those installed aboard Loft satellites.
Loft Orbital provides both. Customers can deploy instruments on shared satellite missions, use dedicated spacecraft for specific requirements, or commission multi-satellite constellations. The company also offers access to existing orbital computing resources for software applications that do not require physical payload deployment.
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