Loft Orbital Expands On-Orbit AI Capabilities with Virtual Mission Platform

Loft Orbital Expands On-Orbit AI Capabilities with Virtual Mission Platform

Loft Orbital is advancing space-based computing through the on-orbit AI technology and virtual mission platform, enabling customers to develop, test and deploy applications directly in space without the need to build or launch dedicated hardware. Headquartered in San Francisco, California, USA, the company integrates sensing, compute and connectivity resources into a unified satellite infrastructure, supporting real-time data processing and flexible mission execution. Loft Orbital’s approach shifts the traditional model of space missions by allowing users to access existing in-orbit infrastructure, reducing complexity, cost and time-to-deployment.

At the core of Loft Orbital’s offering is the Virtual Mission framework, which provides a software-driven pathway to orbit. Instead of developing complete spacecraft systems, customers can deploy applications onto Loft’s satellites, providing onboard resources such as imagers, software-defined radios, CPUs, GPUs and communication links. This model enables both established operators and new entrants to access space capabilities without hardware development, significantly reducing barriers to entry. Through a cloud-based development environment, applications are validated on a virtual test bench before being securely deployed to orbit, ensuring readiness and operational reliability. Loft Orbital integrates AI and machine learning processing directly onboard satellites, enabling data to be analyzed at the edge rather than relying solely on ground-based systems. This capability supports low-latency object detection and real-time analytics, allowing satellites to identify and respond to events as they occur. Applications include vessel detection, infrastructure monitoring and border surveillance, where rapid detection and response are critical. By processing data in orbit, the system reduces latency and optimizes bandwidth usage, ensuring that only relevant insights are transmitted to Earth. 

The company’s on-orbit AI capabilities are further enhanced by a range of Earth observation sensors integrated across its satellite fleet. Combined with onboard processing, these sensors enable applications such as wildfire detection, vegetation analysis and deforestation monitoring. By pairing multi-sensor data with AI-driven analytics, Loft Orbital supports continuous environmental monitoring and provides timely insights for decision-making, particularly in scenarios requiring rapid response to changing conditions. Loft Orbital is developing Altair, a 10-satellite constellation designed to enable near real-time change detection through AI-enabled processing. The constellation provides access to a diverse set of sensors and onboard computing resources, allowing customers to deploy and scale applications across multiple satellites. Altair’s architecture supports multi-sensor data fusion and distributed processing, enabling users to monitor events globally and access insights with reduced latency. This capability enhances situational awareness for both commercial and government applications.

The company’s Ultimate Edge (UE) platform provides an end-to-end solution for building, testing and deploying applications in space. Developers can use flight-representative tools to design and validate their software before deploying it to a secure runtime environment onboard Loft’s satellites. Once deployed, applications have access to onboard computing and sensing resources, enabling continuous operation and real-time data processing. This integrated approach streamlines the transition from development to in-orbit execution. Loft Orbital complements its in-orbit capabilities with Cockpit, a web-based mission control interface that allows users to task satellite payloads and manage operations. The platform is designed to be intuitive, enabling users without prior satellite operations experience to interact with space assets. For advanced users, Cockpit supports integration with existing systems through APIs, enabling seamless incorporation into broader operational workflows. This flexibility enhances accessibility while maintaining compatibility with complex mission requirements.

By combining virtual missions, onboard AI processing and multi-sensor satellite infrastructure, Loft Orbital is enabling a new model of space operations centered on software-defined capabilities and real-time intelligence. This approach allows organizations to deploy applications rapidly, adapt to changing mission needs and access space-based data without the traditional constraints of hardware development. Loft Orbital’s on-orbit AI technology provides a foundation for efficient, flexible and responsive satellite operations.

About Loft Orbital

Loft Orbital is a US-based space infrastructure company that provides satellite platforms and mission services designed to simplify access to space. Headquartered in San Francisco, California, USA, Loft Orbital enables customers to deploy and operate payloads in orbit without building or managing their own spacecraft. The company offers a “payload-as-a-service” model, integrating customer payloads onto its satellite platforms and managing the full mission lifecycle, including integration, launch coordination, and on-orbit operations. Its infrastructure includes onboard computing, communications systems and a range of sensors that support diverse applications such as Earth observation, communications and data processing. Loft Orbital also provides software platforms that allow users to develop, test and deploy applications directly on satellites, enabling real-time data processing and flexible mission control. By combining satellite hardware with software-driven mission management, Loft Orbital supports efficient and scalable space operations for commercial and government users.

Click here to learn more about Loft Orbital's On-orbit AI Technology

Publisher: SatNow
Tags:-  SatelliteLaunchGroundSensors

GNSS Constellations - A list of all GNSS satellites by constellations

beidou

Satellite NameOrbit Date
BeiDou-3 G4Geostationary Orbit (GEO)17 May, 2023
BeiDou-3 G2Geostationary Orbit (GEO)09 Mar, 2020
Compass-IGSO7Inclined Geosynchronous Orbit (IGSO)09 Feb, 2020
BeiDou-3 M19Medium Earth Orbit (MEO)16 Dec, 2019
BeiDou-3 M20Medium Earth Orbit (MEO)16 Dec, 2019
BeiDou-3 M21Medium Earth Orbit (MEO)23 Nov, 2019
BeiDou-3 M22Medium Earth Orbit (MEO)23 Nov, 2019
BeiDou-3 I3Inclined Geosynchronous Orbit (IGSO)04 Nov, 2019
BeiDou-3 M23Medium Earth Orbit (MEO)22 Sep, 2019
BeiDou-3 M24Medium Earth Orbit (MEO)22 Sep, 2019

galileo

Satellite NameOrbit Date
GSAT0223MEO - Near-Circular05 Dec, 2021
GSAT0224MEO - Near-Circular05 Dec, 2021
GSAT0219MEO - Near-Circular25 Jul, 2018
GSAT0220MEO - Near-Circular25 Jul, 2018
GSAT0221MEO - Near-Circular25 Jul, 2018
GSAT0222MEO - Near-Circular25 Jul, 2018
GSAT0215MEO - Near-Circular12 Dec, 2017
GSAT0216MEO - Near-Circular12 Dec, 2017
GSAT0217MEO - Near-Circular12 Dec, 2017
GSAT0218MEO - Near-Circular12 Dec, 2017

glonass

Satellite NameOrbit Date
Kosmos 2569--07 Aug, 2023
Kosmos 2564--28 Nov, 2022
Kosmos 2559--10 Oct, 2022
Kosmos 2557--07 Jul, 2022
Kosmos 2547--25 Oct, 2020
Kosmos 2545--16 Mar, 2020
Kosmos 2544--11 Dec, 2019
Kosmos 2534--27 May, 2019
Kosmos 2529--03 Nov, 2018
Kosmos 2527--16 Jun, 2018

gps

Satellite NameOrbit Date
Navstar 82Medium Earth Orbit19 Jan, 2023
Navstar 81Medium Earth Orbit17 Jun, 2021
Navstar 78Medium Earth Orbit22 Aug, 2019
Navstar 77Medium Earth Orbit23 Dec, 2018
Navstar 76Medium Earth Orbit05 Feb, 2016
Navstar 75Medium Earth Orbit31 Oct, 2015
Navstar 74Medium Earth Orbit15 Jul, 2015
Navstar 73Medium Earth Orbit25 Mar, 2015
Navstar 72Medium Earth Orbit29 Oct, 2014
Navstar 71Medium Earth Orbit02 Aug, 2014

irnss

Satellite NameOrbit Date
NVS-01Geostationary Orbit (GEO)29 May, 2023
IRNSS-1IInclined Geosynchronous Orbit (IGSO)12 Apr, 2018
IRNSS-1HSub Geosynchronous Transfer Orbit (Sub-GTO)31 Aug, 2017
IRNSS-1GGeostationary Orbit (GEO)28 Apr, 2016
IRNSS-1FGeostationary Orbit (GEO)10 Mar, 2016
IRNSS-1EGeosynchronous Orbit (IGSO)20 Jan, 2016
IRNSS-1DInclined Geosynchronous Orbit (IGSO)28 Mar, 2015
IRNSS-1CGeostationary Orbit (GEO)16 Oct, 2014
IRNSS-1BInclined Geosynchronous Orbit (IGSO)04 Apr, 2014
IRNSS-1AInclined Geosynchronous Orbit (IGSO)01 Jul, 2013
Advertisement