Secure Multi-Source Data Fusion Environment for pLEO Constellations

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The United States Space Force (USSF) seeks innovative solutions for a secure, adaptable software environment to manage high-volume, low-latency data from diverse space-based sources, specifically for proliferated Low Earth Orbit (pLEO) constellations. This initiative, supporting the Secure Multi-Source Data Fusion Environment, aims to enhance real-time situational awareness, advanced analytics, and dynamic mission adaptability for the Department of Defense’s Proliferated Warfighter Space Architecture (PWSA). Proposed solutions must integrate heterogeneous data, rapidly onboard new sensors and AI/ML tools, enforce zero-trust security, and operate across physical and cloud infrastructures. The architecture should support continuous scaling, multi-vendor participation, and multi-level security. The project prioritizes latency-sensitive decision-making and tool reusability, aligning with Space Development Agency (SDA) objectives. This is a Direct-to-Phase II effort, requiring applicants to demonstrate a proven

The United States Space Force (USSF) is seeking innovative solutions for a Secure Multi-Source Data Fusion Environment for proliferated Low Earth Orbit (pLEO) Constellations. This initiative, part of the Proliferated Warfighter Space Architecture (PWSA), aims to develop a secure, adaptable software environment for ingesting, integrating, and analyzing high-volume, low-latency data from diverse space-based sources. The objective is to create an extensible fusion platform for real-time situational awareness, advanced analytics, and dynamic mission adaptability, supporting the Space Development Agency's (SDA) battle management. Proposed solutions must support heterogeneous data types, rapid sensor/analytics tool onboarding, secure AI/ML sandboxing, zero-trust security, strict access controls, data sovereignty, and operate across physical and cloud infrastructures. The effort will accelerate technology evaluation, reduce stovepiped workflows, and improve operational responsiveness. Phase I is direct-to-Phase II, requiring a demonstrated feasibility study. Phase II focuses on developing and demonstrating the environment with real-time data fusion, AI/ML analytics, secure third-party tool evaluation, and robust security. Phase III will operationalize, scale, and transition the environment for government and commercial use, including classified innovation environments as a service.

The United States Space Force (USSF) is seeking innovative solutions for a Secure Multi-Source Data Fusion Environment for proliferated Low Earth Orbit (pLEO) Constellations. This initiative, part of the Proliferated Warfighter Space Architecture (PWSA), aims to develop a secure, adaptable software environment to ingest, integrate, and analyze high-volume, low-latency data from diverse space-based sources. The objective is to enhance real-time situational awareness, advanced analytics, and dynamic mission adaptability across the Department of Defense. Proposed solutions must support heterogeneous data types, rapid onboarding of new sensors and AI/ML tools, and secure sandboxed evaluation. The environment needs to enforce zero-trust security, maintain strict access controls and data sovereignty, and operate seamlessly across physical and cloud infrastructures. This effort will accelerate technology evaluation and improve operational responsiveness within the evolving space enterprise. Due to the advanced nature of the required technology, this topic is intended for Direct-to-Phase II proposals, requiring applicants to demonstrate a

The United States Space Force (USSF) seeks innovative solutions for a Secure Multi-Source Data Fusion Environment for proliferated Low Earth Orbit (pLEO) Constellations. This effort aims to create an adaptable software platform for ingesting, integrating, and analyzing high-volume, low-latency data from diverse space-based sources to enhance real-time situational awareness and mission adaptability for the Department of Defense’s Proliferated Warfighter Space Architecture (PWSA). The solution must support heterogeneous data types, rapid onboarding of new sensors and AI/ML tools, and secure, sandboxed evaluation with zero-trust security principles. It should be scalable, support multi-vendor participation, and operate across physical and cloud infrastructures, with a focus on improving latency-sensitive decision-making and tool reusability. The project, including phases for development and operationalization, aims to accelerate technology evaluation, reduce stovepiped workflows, and improve operational responsiveness within the evolving space enterprise and potential commercial markets.

The United States Space Force (USSF) seeks innovative solutions to develop a secure, adaptable software environment for ingesting, integrating, and analyzing high-volume, low-latency data streams from diverse space-based sources within proliferated Low Earth Orbit (pLEO) constellations. This effort, supporting the Secure Multi-Source Data Fusion Environment for pLEO Constellations, aims to deliver an extensible fusion platform for real-time situational awareness, advanced analytics, and dynamic mission adaptability across the Department of Defense’s Proliferated Warfighter Space Architecture (PWSA). Proposed solutions must integrate heterogeneous data types, enable rapid onboarding of new sensors and analytics tools, facilitate secure AI/ML-driven capabilities through sandboxed evaluations, and enforce zero-trust security principles and strict access controls. The environment should operate across physical and cloud-based infrastructures, scale continuously, and support multi-vendor participation and potential expansion to multi-level security environments. The technology is restricted under ITAR, requiring disclosure of foreign national involvement. This project directly supports the Space Development Agency's (SDA) goal to enhance data-to-decision agility and accelerate tool evaluation for a responsive, vendor-agnostic space mission architecture. Phase I is omitted, with applicants needing to demonstrate a

The United States Space Force (USSF) seeks innovative solutions for a Secure Multi-Source Data Fusion Environment for proliferated Low Earth Orbit (pLEO) Constellations. This effort aims to develop an adaptable software platform to ingest, integrate, and analyze high-volume, low-latency data from diverse space-based sources, supporting the Space Development Agency's (SDA) Proliferated Warfighter Space Architecture (PWSA). The objective is to enhance real-time situational awareness, advanced analytics, and dynamic mission adaptability, particularly for the Battle Management, Command, Control, and Communications (BMC3) Layer. The proposed solutions must support heterogeneous data types, rapid onboarding of new sensors and AI/ML tools in secure, sandboxed environments, and adhere to zero-trust security principles and data sovereignty. The architecture should be scalable, support multi-vendor participation, and operate across physical and cloud infrastructures, with a focus on improving latency-sensitive decision-making and tool reusability. This topic is intended for Direct-to-Phase II proposals, requiring demonstrated feasibility and a clear plan for integration with Department of the Air Force (DAF) operations. Phase II will focus on developing and demonstrating a functional environment with AI/ML analytics and secure third-party tool evaluation. Phase III will operationalize and scale the platform for both government and commercial use, exploring

The United States Space Force (USSF) seeks innovative solutions for a secure, adaptable software environment to manage high-volume, low-latency data from diverse space-based sources, specifically for proliferated Low Earth Orbit (pLEO) constellations. This effort, supporting the Secure Multi-Source Data Fusion Environment for pLEO Constellations, aims to create an extensible platform for real-time situational awareness and advanced analytics within the Department of Defense’s Proliferated Warfighter Space Architecture (PWSA). The solution must integrate heterogeneous data, onboard new sensors and analytics rapidly, and securely evaluate AI/ML capabilities in sandboxed environments. Key requirements include zero-trust security, strict access controls, data sovereignty, and seamless operation across physical and cloud infrastructures. The project emphasizes scalability, multi-vendor participation, and potential expansion to multi-level security and coalition operations, ultimately enhancing decision-making and operational responsiveness. This is a Direct-to-Phase II effort, requiring applicants to demonstrate a completed feasibility study and a clear plan for integrating with Department of Air Force (DAF) operations.

The United States Space Force (USSF) is seeking innovative solutions for a Secure Multi-Source Data Fusion Environment for proliferated Low Earth Orbit (pLEO) Constellations. This initiative, part of the Proliferated Warfighter Space Architecture (PWSA), aims to develop a secure, adaptable software environment to ingest, integrate, and analyze high-volume, low-latency data from diverse space-based sources. The objective is to enhance real-time situational awareness, advanced analytics, and dynamic mission adaptability for the Department of Defense. Proposed solutions must support heterogeneous data types, rapid onboarding of new sensors and AI/ML tools, and adhere to zero-trust security principles. The environment should be scalable, support multi-vendor participation, and operate across physical and cloud infrastructures, with a focus on improving latency-sensitive decision-making and tool reusability. Phase II will involve demonstrating a functioning data fusion environment with AI/ML analytics and a secure vendor-isolated sandbox. Phase III will focus on operationalizing, scaling, and commercializing the platform for both government and commercial use.

The United States Space Force (USSF) seeks innovative solutions for a Secure Multi-Source Data Fusion Environment for proliferated Low Earth Orbit (pLEO) Constellations. This initiative, part of the Proliferated Warfighter Space Architecture (PWSA), aims to develop an adaptable software environment to ingest, integrate, and analyze high-volume, low-latency data from diverse space-based sources. The objective is to achieve real-time situational awareness, advanced analytics, and dynamic mission adaptability for the Department of Defense. Proposed solutions must support heterogeneous data types, rapid onboarding of new sensors and AI/ML tools, and secure sandboxed evaluations, all while enforcing zero-trust security and data sovereignty across physical and cloud infrastructures. The architecture should be scalable, accommodate multi-vendor participation, and potentially expand to multi-level security environments and coalition operations. Phase II will focus on developing and demonstrating this environment with real-time data integration, AI/ML analytics, secure third-party tool evaluation, and robust access controls. Phase III will operationalize and scale the platform for both government and commercial use, including classified innovation environments as a service.

The United States Space Force (USSF) seeks innovative solutions for the Secure Multi-Source Data Fusion Environment for proliferated Low Earth Orbit (pLEO) Constellations. This initiative aims to develop a secure, adaptable software environment capable of ingesting, integrating, and analyzing high-volume, low-latency data from diverse space-based sources to enhance real-time situational awareness and mission adaptability for the Department of Defense’s Proliferated Warfighter Space Architecture (PWSA). Proposed solutions must support heterogeneous data types, rapid onboarding of new sensors and analytics tools, and secure, sandboxed evaluation of AI/ML-driven capabilities while enforcing zero-trust security and data sovereignty across physical and cloud infrastructures. The project prioritizes scalability, multi-vendor participation, and alignment with Space Development Agency (SDA) objectives. Phase II will focus on demonstrating a functional fusion environment with AI/ML analytics and a secure sandbox, while Phase III aims to operationalize and commercialize the platform for broader government and industry use, including classified innovation environments as a service.

The United States Space Force (USSF) seeks innovative solutions to develop a secure, adaptable software environment for ingesting, integrating, and analyzing high-volume, low-latency data from diverse space-based sources, particularly for proliferated Low Earth Orbit (pLEO) constellations. This initiative supports the Secure Multi-Source Data Fusion Environment for pLEO Constellations, aiming for an extensible fusion platform that provides real-time situational awareness, advanced analytics, and dynamic mission adaptability for the Department of Defense’s Proliferated Warfighter Space Architecture (PWSA). Proposed solutions must handle heterogeneous data, onboard new sensors and analytics rapidly, and facilitate secure, sandboxed evaluation of AI/ML-driven capabilities while enforcing zero-trust security and data sovereignty across physical and cloud infrastructures. The architecture should be scalable, support multi-vendor participation, and potentially expand to multi-level security environments and coalition operations. This effort is restricted under ITAR/EAR regulations. Phase II will focus on developing and demonstrating this environment, with Phase III concentrating on operationalizing, scaling, and transitioning it for both government and commercial applications, including

The United States Space Force (USSF) is seeking innovative solutions for a Secure Multi-Source Data Fusion Environment for proliferated Low Earth Orbit (pLEO) Constellations. This effort aims to develop an adaptable software platform capable of ingesting, integrating, and analyzing high-volume, low-latency data from diverse space-based sources to enhance real-time situational awareness and mission adaptability for the Department of Defense’s Proliferated Warfighter Space Architecture (PWSA). The proposed environment must support heterogeneous data types, rapid onboarding of new sensors and AI/ML tools, and adhere to zero-trust security principles. Solutions should be deployable across physical and cloud infrastructures, scalable, and enable multi-vendor participation. This topic is intended for Direct-to-Phase II proposals, requiring applicants to demonstrate a completed feasibility study and a clear plan for integrating with DAF operations. Phase II will focus on developing and demonstrating the secure data fusion environment, including AI/ML analytics and a vendor-isolated sandbox, while Phase III will involve operationalizing, scaling, and transitioning the platform for both government and commercial use.

The United States Space Force (USSF) seeks innovative solutions for a Secure Multi-Source Data Fusion Environment for proliferated Low Earth Orbit (pLEO) Constellations. This effort aims to develop an adaptable software platform to ingest, integrate, and analyze high-volume, low-latency data from diverse space-based sources, supporting the Department of Defense’s Proliferated Warfighter Space Architecture (PWSA). The environment must enable real-time situational awareness, advanced analytics, and dynamic mission adaptability, while adhering to zero-trust security principles and strict access controls. Key features include support for heterogeneous data types, rapid onboarding of new sensors and AI/ML tools, and operation across physical and cloud infrastructures. Solutions should prioritize scalability, multi-vendor participation, and alignment with Space Development Agency (SDA) objectives for resilient battle management. Phase II will focus on developing and demonstrating a secure, extensible data fusion environment capable of integrating at least two live data streams and AI/ML-driven analytics for operational use cases. Phase III will involve operationalizing, scaling, and transitioning the environment for both government and commercial applications, including delivering classified innovation environments as a service.