Autonomous drones, manned aircraft, sensors, and effectors are flooding the battlespace — but without a coordination layer, more platforms just means more chaos. Airwayz is building the operating system that synchronizes human and autonomous systems across air, ground, and maritime domains. In this episode, Yaron Rosen, Executive Chairman of Airwayz, draws on a career spanning military aviation, cyber, and defense investment to explain why the hardest problem in autonomy isn't the vehicles themselves — it's getting them to work together. We cover how the Airwayz platform acts as a vendor-agnostic brain for airspace management, integrating diverse sensors and effectors through an open API architecture, real-world deployments with the IDF, NATO, European critical infrastructure, and FIFA event security, and why natural language interfaces and AI agents are changing how operators plan and respond in real time. Yaron also walks us through the company's approach to supervised autonomy, how legal and operational constraints get embedded directly into decision systems, and the strategy for scaling across US federal operations, defense programs, and civilian urban environments.

Traditional threat detection systems depend on centralized infrastructure, GPS, and constant connectivity exactly the things that fail first in contested environments. Noxtar built a portable, AI-powered detection node that processes raw physics data at the edge, operates for up to six hours on battery, and networks with other nodes through a resilient mesh, all without calling home. In this episode, Bari Shpigel, founder of Noxtar, explains how his veteran-led team combined full-color night vision in complete darkness with real-time anomaly detection and predictive threat alerts in a lightweight, rapidly deployable package. We cover why edge AI processing eliminates the single points of failure that plague backhaul-dependent systems, how physics-based modeling and online learning allow the system to adapt to new environments on the spot, and the operational nuances of distinguishing real threats from doors, animals, and shadows in complex tactical scenarios. Bari also walks us through current TRL 7 readiness, field testing results, the business model built around one-time purchase with over-the-air AI pack updates, and Noxtar's strategy for scaling into US homeland security, law enforcement, and special operations markets.

After October 7, the Israeli defense establishment's timeline for unmanned ground vehicles compressed from years to weeks. Ottopia pivoted from civilian autonomous driving to military applications and was retrofitting large combat vehicles within days of the conflict. In this episode, Amit Rosenzweig, founder of Ottopia, explains how his team built a hybrid autonomy platform that blends AI, teleoperation, and human oversight into a modular operating system now running across hundreds of vehicles and thousands of operational hours in active conflict zones. We cover why pure autonomy isn't enough for contested environments and how layered control — AI handling the routine, operators stepping in for edge cases — solves the reliability problem at scale. Amit walks us through the architecture behind Ottopia's system including safety layers, cybersecurity, and MOSA compliance, the communication challenges of low-latency control in GPS-denied and network-degraded environments, and how retrofit kits enable OEMs and defense forces to convert existing fleets without building from scratch. We also discuss Ottopia's US expansion through their Detroit office, current IDF deployments, and the trajectory toward higher autonomy, increased uptime, and true autonomous mission execution.

Radar is expensive, optics need line of sight, and RF detection fails when drones switch to fiber optic control. Insignito is solving the drone detection problem with sound. In this episode, Itay Nourian, CEO of Insignito, explains how his team turned decades of acoustics expertise from a specialized Israeli military unit into a passive detection system that identifies drones at up to five kilometers, tracks swarms of dozens of targets simultaneously, and operates without revealing its own position — all at a fraction of the cost of legacy solutions. We cover why acoustic sensing holds a unique advantage as drone threats evolve from RF-controlled platforms to fiber optic FPVs, how proprietary simulation tools and an extensive drone noise database accelerate development and deployment, and the seamless API-based integration that allows their sensors to plug into existing defense architectures for point, perimeter, and mobile protection. Itay also walks us through TRL 9 readiness, current deployments across Israel, NATO, and the US, and upcoming capabilities including low-signature propeller design and active countermeasure solutions built for swarm defense.

Operating a single drone is a solved problem. Operating hundreds simultaneously across continents — with compliance, safety, and zero specialized pilots — is a fundamentally different challenge. In this episode, Shai Levy, CEO and co-founder of FlightOps, explains how his team built a software platform that has already powered over half a million drone missions across utilities, infrastructure, defense, and delivery operations. We cover the "intent-based operation" framework that lets operators define high-level objectives while the system handles the complexity, how FlightOps managed the world's largest drone delivery stress test with 15 aircraft running simultaneously for a month under FAA regulations, and why a single software layer can coordinate fleets across San Diego, Israel, and the UAE from one command center. Shai also walks us through built-in compliance tools that lower the skill barrier for operators, the path toward zero-operator fleets, and how the same scalable infrastructure applies to pipeline inspection, border security, and battlefield resource management.

In GPS-denied environments with no comms and no pre-loaded maps, soldiers and drones still need to know exactly where they are and what surrounds them. ReSight built a system that generates real-time 3D maps using nothing but visual data on low-power edge devices. In this episode, Omri Stein, founder and CEO of ReSight, explains how a company originally built around AR cloud technology pivoted to solving one of the hardest problems in tactical operations — instant spatial awareness with minimal hardware, no GPS dependency, and no connectivity requirement. We cover how ReSight's foundational algorithms were optimized from the ground up for power-constrained platforms, why their close relationship with Israeli special operations units shaped the technology in ways a lab never could, and how frontline feedback prevents the classic defense-tech trap of building for a problem that doesn't exist. Omri also shares where the technology is heading — scaling toward broader global defense markets and extending the same edge-AI mapping capability across drones, dismounted forces, and autonomous systems.

Building an autonomous vehicle from scratch takes years and hundreds of millions of dollars. Bluewhite skips that entirely — retrofitting existing vehicles with a kit-based autonomy system that can be installed in under a day. In this episode, Ben Alfi, co-founder of Bluewhite and former Israeli Air Force combat pilot, explains how his team built a modular autonomy stack with over 100,000 hours of real-world autonomous operations across military, agricultural, and civilian environments. We cover how the Pathfinder kit transforms legacy fleets into fully autonomous platforms that operate without GPS, at night, and across diverse terrain and climates, why the retrofit approach changes the cost and speed equation for defense program managers and OEMs, and how multi-mission payloads like surveillance drones and remote sensors extend each vehicle's operational value. Ben also walks us through Bluewhite's US and European production plans, partnership strategy with prime contractors, and why battle-proven flexibility matters more than building from zero.

When infrastructure is destroyed, jammed, or never existed in the first place, military forces still need to communicate. Commcrete is solving that problem with ultra-lightweight satcom devices that deliver voice, data, and blue force tracking with sub-quarter-second latency — even under active jamming. In this episode, Ofer Kotler, COO of Commcrete, draws on 30 years in special operations and tech innovation to explain how his team built narrow-band, high-link-budget devices that thrive where conventional communications fail. We cover the product suite from the Flipper voice converter to the full C4I-capable Stardust and Beetle platforms, real-world deployment scenarios including search and rescue for downed pilots in hostile territory, and how the company has already secured over $20 million in sales across global military and special forces clients. Ofer also shares Commcrete's US expansion through SOCOM and NATO engagement, their approach to rapid demo-to-order procurement, and plans for strategic partnerships with prime contractors as they scale.

Facial recognition fails in the dark, at distance, and when targets are masked. Motion Analytics is building a different approach — identifying individuals by the way they move. In this episode, Adi Natan, founder and CEO of Motion Analytics, explains how his team combined deep biomechanical research with physically informed neural networks to create a system that generates unique identity signatures from just five walking steps captured on video. We cover how the technology achieves near-95% accuracy where traditional biometrics break down, the pivot from sports analytics into defense and security applications, and real-world use cases spanning border security, VIP tracking, aerial surveillance, and anti-trafficking operations. Adi also walks us through the current pilot programs with law enforcement and defense agencies, deployment flexibility across on-premises and cloud environments, ITAR and GDPR compliance considerations, and the company's strategy for US market entry and partnership development.

Friendly fire remains one of the most persistent and devastating failures on the modern battlefield — and it's getting worse as drones, urban warfare, and multi-domain operations add layers of complexity to the identification problem. In this episode, Meir Rapaport, CEO of Intact, shares the deeply personal story behind the company's founding — friends lost to fratricide — and how that motivation drove a decade-long development journey from GPS-based detection through infrared and into their current mid-wave identification system. We cover how Intact's technology detects, identifies, and prevents friendly fire across ground forces, air assets, and drones using directional transmission that remains undetectable to adversaries, the electromagnetic physics that make it work in contested environments, and how the system integrates across helmets, weapons, UAVs, and command centers. Meir also walks us through current IDF field testing, the company's US market strategy including DARPA engagement and "Made in America" manufacturing plans, and why US-Israel operational coordination makes this capability more critical than ever.