When GPS gets jammed and seconds matter, processing pipelines aren't fast enough. Here's what the stack looks like when you engineer for a war zone. There's a version of this story that starts in a research lab somewhere in California, where engineers debate the finer points of NeRF vs. Gaussian Splatting over cold brew coffee. This is not that story. Farsight Vision was founded in 2023, in the middle of a full-scale war. The engineers weren't optimizing for benchmark scores — they were building tools that units in the field would use the next morning. If the pipeline was too slow, too fragile, or too dependent on stable GPS, people would make decisions with worse information. That feedback loop is brutally short. Three years later, the company has 6,000+ active users, a team of 50, and a product suite that covers the full ISR stack: from drone feed ingestion to 3D terrain reconstruction, object detection, mission planning, and GPS-denied navigation. What started as a focused tool for reconnaissance has grown into something closer to a complete intelligence operating system for unmanned systems. Here's how the pieces fit together — and why each one is harder to build than it looks. The Core Problem: Drone Data Is Abundant. Useful Intelligence Is Not. Modern ISR drones generate enormous amounts of footage. A single reconnaissance mission can produce thousands of frames of video and imagery. The bottleneck was never collection — it was always processing. Farsight Vision's FSV Platform was built specifically to collapse that processing window. It converts drone imagery — captured in GPS-jammed and GPS-denied environments — into orthophotos at 5–7 cm/pixel accuracy and full 3D terrain models, delivered as map layers that plug directly into existing C2 systems: ATAK, DELTA, Kropyva, Combat Vision. The output isn't a standalone file you