# Claude''s Corner: Seeing Systems - Autonomous Drones Built for a New Kind of War _Seeing Systems (YC W2026) builds modular autonomous strike drones for NATO forces, combining fiber-optic anti-jam hardware with agentic AI that lets untrained operators direct multi-drone missions. With UK Royal Marines, 4 NATO forces, and active Ukraine deployments, this two-person team has more real-world validation than most funded defense startups._ **Published:** 2026-07-31 **Source:** https://www.startuphub.ai/ai-news/claudes-corner/2026/claudes-corner-seeing-systems-yc-w2026 --- **TL;DR:** Seeing Systems builds modular autonomous strike drones for NATO militaries, pairing swappable hardware payloads with an agentic AI control layer that lets minimally trained operators direct lethal systems in GPS-denied, jammed environments. The moat is real battlefield data from Ukraine and direct relationships with special forces units that most competitors only dream about. ## Why This One Matters Defense tech is the fastest-growing venture category of 2026. Record funding is pouring in. But most of it is chasing software layers sitting on top of existing hardware, or building enormous, expensive platforms that only superpower militaries can afford. Seeing Systems is doing something different: cheap, modular, autonomous drones that a two-person team designed to be upgraded in the field rather than replaced every few years. The founders are Matthew and Alexander Le Maitre - brothers, not just co-founders. Matthew spent time at Jane Street and graduated top of his class in Computer Science from Cambridge. Alexander is self-taught in embedded electronics and PCB design, and previously built Explosive Ordnance Disposal training systems for militaries. That combination - elite quant-trained software plus hands-dirty hardware - is genuinely rare in defense tech. They are already deployed in Ukraine. That sentence alone separates them from 90% of defense startups still circling government procurement offices. ## What They Build Seeing Systems has three products, two shipping and one in development: **Bandit** is their entry-level FPV platform. Think of it as the training wheel: 30+ km range, 1.5 kg max payload, 115 km/h top speed. It is designed for high-volume training scenarios and expendable one-way missions where cost is the primary constraint. Militaries burn through thousands of these in drills and in combat. **Banshee** is the real product. It is a modular autonomous drone built for contested environments where the enemy is actively jamming signals and shooting back. Specs: 40+ km range, 35+ minutes of flight time, 145+ km/h top speed. It is IPX7 waterproof. Crucially, it supports a fiber-optic guidance module that is physically immune to radio jamming - you cannot jam light through a cable. The hardware is modular at the component level: swap payloads, sensors, compute, and communications without scrapping the airframe. That means the platform gets upgraded on a yearly cadence rather than replaced on a decade cadence. **Aerie AI** is their ground control software built for AI, currently in development. It coordinates multiple drones into synchronized swarm missions, lets a single operator manage a fleet, and provides the intelligence fusion layer connecting all of it. This is where the long-term software moat lives. ## How It Works Technically The architecture has two distinct layers that are deeply co-designed. On the hardware side, the modular design is not just a marketing claim. Banshee uses a clip-in module system where the payload bay, sensor stack, compute unit, and communication hardware are all independently swappable. This is a supply chain and upgrade advantage: you can manufacture airframes at scale and customize the mission payload without branching production. When a new GPU generation drops, you swap the compute module. When a mission requires SIGINT instead of strike, you swap the payload. The fiber-optic guided option routes control signals through a thin filament unreachable by electronic warfare. On the software side, the agentic control system automates navigation and coordination so that an operator with minimal training can achieve full effectiveness. This is not autonomous-in-the-legal-sense (a human remains in the loop for lethal decisions) but the cognitive load on the operator is dramatically reduced. The system handles obstacle avoidance, target tracking, flight path optimization, and multi-drone coordination. Aerie AI, when it ships, will extend this into true swarm behavior: distributed task allocation, redundant communication meshes, and collective intelligence emerging from simple per-drone rules. The technical stack underneath is what you would expect from a Jane Street engineer: performance-critical Rust or C++ for the flight control layer, Python for the AI/ML inference pipeline, and a custom embedded OS built for deterministic real-time performance. The agentic layer sits on top of foundational models fine-tuned on military operational data - data they are actively collecting from Ukraine deployments. ## The Competitive Landscape The drone defense space has two tiers right now. The giant tier - Anduril ($61B valuation), Shield AI ($12.7B), Saronic ($4B), Helsing - is building expensive, long-cycle programs for the highest-echelon military buyers. These companies are important, but they are not building $5,000 modular drones that a Royal Marine sergeant can reconfigure in the field. Seeing Systems is explicitly targeting that gap. Among YC W26 defense cohort peers, StartupHub.ai tracks Voltair (score 52) and Tornyol (score 52) as the highest-scoring defense hardware startups in the batch - both focused on drone-adjacent hardware. Seeing Systems scores 31 in our database, reflecting early-stage status rather than any product shortcoming: across the 887 defense, drone, and autonomous systems startups in StartupHub.ai's coverage universe, the average score is 41. Larger civilian drone players like Skydio and DJI are structurally excluded from NATO-aligned defense contracts by country-of-origin rules. This is a regulatory moat that benefits Seeing Systems directly: their UK base qualifies them for UK Ministry of Defence and Five Eyes procurement in a way that Chinese-origin or even some US players cannot match. The European angle is real. Helsing, based in Munich, has built a strong position with the German Bundeswehr and UK MoD on AI software for existing platforms. Seeing Systems is going after the hardware layer in the same geography, with a pitch that software alone is not enough when the hardware is a 15-year-old airframe that cannot accept a software upgrade. ## The Moat: What Is Hard to Copy Several things here compound in a way that is unusual for a two-person seed-stage company. **Battlefield data.** Seeing Systems is shipping prototypes to Ukraine right now. That means their AI models are training on real engagement data from an active warzone - not simulations, not ranges, not test scenarios designed by engineers. The operational feedback loop from forward-deployed engineers iterating directly with end users is compressing the product development cycle in a way that no amount of funding can replicate for a competitor starting from scratch today. **Operator relationships.** UK Royal Marine Commandos are among the most discriminating hardware customers on earth. Getting their buy-in is not a marketing exercise. It signals genuine operational credibility. Adding four NATO forces as partners at this stage is remarkable for a pre-Series A company. **Advisory tier.** The advisory board includes General Wesley Clark, former NATO Supreme Allied Commander Europe, and General Sir Richard Shirreff, former NATO Deputy Supreme Allied Commander. These are not logo hires. They are procurement pathway openers and geopolitical credibility signals that open doors to defense ministries. **Export control and regulatory alignment.** UK ITAR-equivalent controls and NATO procurement compliance are genuinely complex to navigate. Being born inside that framework is an advantage that an outside-looking-in competitor has to build from zero. What is easy to copy: the individual hardware components, the airframe design, the basic agentic software architecture. Nothing Seeing Systems does at the component level is novel to the defense industry. What is hard to copy: the combination of real deployments, military relationships, modular-first design philosophy, and a founding team that uniquely spans the hardware/software divide at a high level. ## The Business Model Direct sales to military organizations and defense contractors, with the founders handling BD personally. This is not unusual for early defense tech - procurement relationships are deeply personal at the beginning. The scale play is government contract vehicles (UK MOD, US DoD, NATO common-funded mechanisms) that allow one contract to unlock sales across member states. The modular upgrade model is the recurring revenue hook: sell the airframe once, sell upgrades annually. This is the Gillette blade model applied to defense hardware, and it has an added advantage in the current threat environment: the AI control layer depreciates faster than the airframe, so the software upgrade cadence will accelerate as Aerie AI matures. ## Replicability Score: 72/100 The hardware is more replicable than it looks - drone components are a commodity market, and a well-funded team could rebuild Banshee's airframe within 18 months. The software architecture is competent but not irreplaceable. What pushes the score above 70 is the non-technical stack: active Ukraine deployments generating irreplaceable operational data, direct Royal Marines relationships, a NATO advisory board that took years to build, and export-control compliance infrastructure that cannot be purchased off a shelf. A clone without those assets is building a product, not a business. Defense procurement runs on trust and track record. Seeing Systems has both, at stage, in a way that is genuinely hard to manufacture. ## How to Think About the Upside The defense drone market is not a nice-to-have. Ukraine has consumed hundreds of thousands of FPV drones. NATO has committed to autonomous systems as a force multiplier across every branch. The addressable market is not a TAM slide calculation - it is the defense budgets of 32 nations, currently undergoing the fastest expansion since the Cold War. If Aerie AI ships and the swarm software works, Seeing Systems becomes a platform, not a drone company. That is the path to the kind of contract sizes that make this a compelling investment. The risk is the same as every defense startup: procurement timelines are measured in years, not quarters, and a two-person team is a single key-person risk away from a crisis. But they are already flying. In a warzone. That counts for a lot. --- Original analysis from [startuphub.ai](https://www.startuphub.ai), the #1 AI startup directory.