How might we apply Artificial Intelligence and Machine Learning (AI/ML) to automate the Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) cycle, turning data into predictive insights that help Space Delta 7 outpace adversaries and enable Joint leaders to act with confidence?
Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) describe the phases of the execution of an intelligence requirement. The Space Delta 7 (DEL 7) architecture was built to execute the production line with each squadron focused on a specialization in the process. Today, the requirement is primarily manually acted upon, with some automation inserted along the TCPED production line.
DEL 7 requires an Artificial Intelligence/Machine Learning (AI/ML) Orchestrator to automate the activities throughout the enterprise from tasking the appropriate collection entities to providing customers with the final reports. The Orchestrator will apply AI/ML, in concert with operator’s and analyst’s expertise and tradecraft, transform data into predictive insights, informing decision-making through modeling, simulation, and visualization. Further application of AI/ML and Tradecraft will enable tipping and queuing internally to DEL 7 and other organizations and agencies.
This will enable Joint leaders to anticipate responses and enable future decisions and actions with a higher degree of confidence. By transitioning to a “man on the loop” approach, we will accelerate decision cycles and close the kill chain/web more effectively.
Topics of Interest:
| October 2, 2025 at 2:30pm (MT) | 'Ask Me Anything' Virtual Session |
| October 17, 2025 at 5pm (MT) | Application Deadline |
| October 30-31, 2025 | Applicant Pitch Days |
| January 12-16, 2026 | On-Week |
| January 19-22, 2026 | On-Week |
| February 10-13, 2026 | On-Week |
| February 16-19, 2026 | On-Week |
| March 10-13, 2026 | On-Week |
| March 16-19, 2026 | On-Week |
| April 8-14, 2026 | Final On-Week |
| April 13, 2026 | Demo Day |
| October 2, 2025 at 2:30pm (MT) | 'Ask Me Anything' Virtual Session | Watch the video recording HERE |
| October 17, 2025 at 5pm (MT) | Application Deadline | |
| October 30-31, 2025 | Applicant Pitch Days | |
| January 12-16, 2026 | On-Week | |
| January 19-22, 2026 | On-Week | |
| February 10-13, 2026 | On-Week | |
| February 16-19, 2026 | On-Week | |
| March 10-13, 2026 | On-Week | |
| March 16-19, 2026 | On-Week | |
| April 8-14, 2026 | Final On-Week | |
| April 13, 2026 | Demo Day |
Aegnix builds next-generation artificial intelligence agents on a swarm-style orchestration platform. Our AI tools enable the rapid creation and deployment of AI Agents in neural network configurations. Aegnix offerings deliver speed and efficiency in model creation and deployment, reducing costs and technical complexity. Our proprietary platform technologies change the way engineering teams connect artificial intelligence and machine learning models.
Kestrel delivers scalable, autonomous sensing-as-a-service for modern command & control, intelligence, and business operations. Our software platform, Kestrel Intelligence, is a multi-agent AI system to network disparate sensors and orchestrate them for mission and business objectives. Kestrel’s founding team includes operators and intelligence officers from the CIA and Air Force who also have over a decade of experience building AI systems at Stanford, Google X, and C3 AI. Decision advantage in today’s dynamic world requires proactive information superiority–Kestrel delivers information superiority as a service.
Lunar Station delivers asymmetrical advantages to customers with scenario-based advanced geospatial analytical platforms. Lunar Station Corporation (an MIT Startup) provides advanced geospatial analytics in data austere environments to help our clients succeed in extreme domains: the Moon and Underwater. Lunar Station helps organizations accelerate their autonomous platforms by feeding geospatial intelligence to operators and vehicles for better mission outcomes. We have developed 2 geospatial analytical platforms: MoonHacker and SeaHacker. Lunar Station’s RADSIM offering, for radiation effects testing, has been used for many different missions and locations in space.
Soresu advances applied AI for defense by turning distributed systems into living networks that learn, adapt, and persist under pressure. Our flagship technology, SWIFT-A, orchestrates space, air, and ground sensors to maintain custody and detect events autonomously, even in degraded environments. We move fast, take smart risks, and bring commercial-grade AI to the most demanding missions on Earth and in orbit. By decentralizing inference and decision-making, SWIFT-A transforms disconnected sensors into a self-organizing swarm that keeps awareness alive when the network goes dark.
Tempest Droneworx is on a mission to make information contextual, actionable, and in real-time to prevent emergencies from becoming tragedies via early warning. Tempest’s software agnostically fuses data from drones, sensors, cameras, satellites, etc. into real-time contextual visualizations, providing immediate insight from the edge to command. Combined with autonomous multi-drone operations, the Company enables mission-critical support for force protection, ISR, and rapid response operations across defense and commercial landscapes.
Worldscape Technologies, Inc. is a veteran-owned company founded by former Microsoft, Google, Amazon, and Meta engineers who built some of the world’s most scalable enterprise and gaming systems. Its flagship product—the Worldscape Platform—is a next-generation, dual-use Data Fabric and Agentic AI environment that unifies data, models, simulations, and AI agents into one secure, distributed control plane. Built on Microsoft Orleans, GraphQL, and an Entity Component System (ECS) architecture, Worldscape allows billions of entities and agents to interact in real time across cloud, edge, and disconnected domains.
The platform delivers machine-speed decision support, federated simulation, and digital-twin capability for defense, disaster response, and industrial optimization—creating an unparalleled Decision Advantage™ for government and enterprise users. Worldscape’s composable architecture is redefining how humans and AI collaborate securely across all domains—from space to subsea.
