MARSOC Vets Raise $32M for Defense AI

## MARSOC Vets' AI Startup Tackles Military Decision-Making with $32M Smack Technologies, founded by MARSOC veterans Andrew Markoff and Clint Alanis, is leveraging its recent $32 million funding to build what it calls the first "frontier AI lab for national security." The funding round, a combination of seed and Series A, was led by Geodesic Capital and Costanoa Ventures, with significant participation from Point72 Ventures, Felicis, and several other investors. The company's stated mission is to deliver "Decision Dominance" to the U.S. military and its allies, aiming to overhaul military planning and execution processes. The core of Smack's technological approach is the use of domain-specific AI models powered by deep reinforcement learning. These models are trained in proprietary synthetic warfare environments that simulate the physics, tactics, and operational constraints of peer-level conflict. This method is designed to create AI agents that can analyze vast amounts of real-time, multimodal sensor data and generate optimized operational plans in minutes or seconds, a process that can currently take days. The company is developing two main product suites: Omega and Alpha. Omega is a command-level AI stack designed for decision-making across various time horizons, from long-term campaign planning to immediate execution. Alpha is an edge-level AI stack that utilizes lightweight models and proprietary hardware for real-time, campaign-informed decisions on tactical platforms and autonomous systems at the front lines. Applications for these suites include fusing sensor data for strike packages, predicting and coordinating logistics in contested environments, and filtering intelligence feeds to identify adversary patterns. With the new capital, Smack Technologies plans to aggressively expand its technical leadership and scale research and development to serve all branches of the military. The company has already secured contracts with the Joint Fires Network (JFN) and the Marine Corps Warfighting Lab (MCWL), indicating early traction within the Department of Defense. The founders' extensive combat experience is seen as a key differentiator, providing deep operational credibility and an intimate understanding of the end-user's needs in high-stakes environments. The leadership team's background in special operations is intended to foster a specific company culture. Military leadership experience is often associated with disciplined strategic decision-making, team cohesion, and adaptability under pressure—qualities considered highly transferable to the fast-paced, high-stakes environment of a defense tech startup. This approach is aimed at building a mission-focused culture of accountability and innovation. Scaling a specialized engineering team in the defense sector presents unique challenges. Beyond the typical difficulties of rapid growth, defense tech startups must navigate the complexities of security clearances and the need for highly specialized, often scarce, technical talent. Building a resilient and innovative team in such an environment requires a focus on robust processes and a culture that can balance the demands of security with the need for agility. The Department of Defense has been increasingly open to adopting AI solutions from non-traditional defense companies. Initiatives from the Chief Digital and Artificial Intelligence Office (CDAO) aim to accelerate the integration of advanced AI to maintain a strategic advantage. This push for commercial-first solutions creates opportunities for startups like Smack Technologies to bring cutting-edge technology to the warfighter more rapidly than traditional acquisition processes have allowed. For engineers at the intersection of autonomy and defense, the rise of companies like Smack highlights a growing demand for skills in agentic AI and deep reinforcement learning applied to real-world, dynamic systems. These technologies are foundational to the development of autonomous and semi-autonomous platforms that can perceive, reason, and act in complex, contested environments. The challenge for technical leaders in this space lies in building and managing teams that can effectively bridge the gap between advanced AI research and the rigorous demands of military applications.