Emesent's Stefan Hrabar on GPS-free drone autonomy
Key points
Key takeaways from The Drone Ultimatum podcast interview with Emesent co-founder Stefan Hrabar (October 2026):
Hovermap. Emesent's core product is a palm-sized LiDAR unit that mounts to drones, ground robots, a backpack or a handheld pole, using SLAM to map and navigate without GPS — including real-time 3D streaming for live situational awareness.
Origin story. Hrabar did a PhD at USC (2001–2006) on vision-based drone autonomy, before commercial drones existed — he and his colleagues converted gas-powered helicopters into research drones. After a decade at CSIRO in Australia he co-founded Emesent in 2018 with Farid Kendoul, a colleague from the same research group.
Underground mining first. Emesent cut its teeth in underground mines, where there is no GPS and no light: drones fly into dangerous voids people cannot enter, map them, and surveyors use the results to understand what is going on.
Defence applications. In the government and defence space Emesent flies on larger platforms such as the Freefly Astro and Astro Max, offering live 3D views while clearing tunnels or buildings, plus a blacked-out, logo-free hardware variant.
Scale and investors. The company is around 140 people and grew quickly after its Series A, led by Australian VC Main Sequence with participation from Telus Ventures (Canada) and Tiger Global. It is not currently raising.
Hardware economics. The cash conversion cycle on hardware — buying parts, building and selling — can run months, so the business needs careful financial engineering; Hrabar notes hardware is one of the last places with a real moat as the marginal cost of software trends toward zero.
VC sentiment flipped. A few years ago the firm had to convince investors hardware was not a bad thing; now investors come inbound chasing "physical AI" — a reversal Hrabar attributes to the broader market shift.
LiDAR views. Emesent uses autonomy-grade sensors (100 m and 300 m range versions) and does the software work to produce scan-grade data; tripod-based scanning is being disrupted by handheld and drone-mounted SLAM systems.
Read more: The Drone Ultimatum on YouTube
