Radar perception beyond cameras
A practical overview of privacy-safe perception and edge processing.
Download (soon)We turn chaotic radar signals into precise spatial awareness. No Cameras. No Latency. No Compromise.
Software, reference hardware, and R&D support — packaged around real use cases.
Edge inference + signal processing pipelines that convert radar returns into detection, tracking and safety actions.
Sensor kits and integration components to accelerate pilots.
Engineering support from simulation to validation & deployment.
Built with Privacy by Design. On-device processing + secure OTA updates for deployed fleets.
Hatticore’s radar perception platform is deployed across multiple domains, adapting to different environments while relying on the same core technology stack.
Radar-based perception for vehicles enables reliable detection of pedestrians, cyclists, and surrounding objects – even in poor visibility conditions such as darkness, fog, or heavy rain.
Contactless radar sensing allows continuous monitoring of human presence, movement, and vital signs while fully preserving personal privacy.
Radar-based sensing enables smart buildings to understand occupancy, movement, and human presence in real time, without relying on cameras or wearable devices. This allows building systems to respond dynamically while fully preserving occupant privacy.
Radar-based perception enables reliable detection of humans, machines, and obstacles in complex industrial environments where optical sensors often fail. The system operates independently of lighting conditions and remains robust in dust, smoke, and harsh factory settings.
Signal processing + edge AI. We transform radar returns into robust perception — in darkness, fog, rain and dust.
Hatticore builds privacy-safe perception systems using mmWave radar, signal processing, and edge AI. Our mission is to enable machines to understand space without cameras — reliably, in all conditions.
Leads the technical vision of Hatticore, with deep expertise in radar systems, signal processing, and embedded AI architectures.
Drives commercial strategy and partnerships while contributing to system-level engineering and real-world deployment of radar solutions.
Supports Hatticore’s long-term growth and strategic direction, focusing on investment, scalability, and global market positioning.
A practical overview of privacy-safe perception and edge processing.
Download (soon)Selected papers and standards supporting mmWave deployments.
View list (soon)APIs, reference hardware notes, and pilot deployment checklists.
Read (soon)We are looking for engineers, physicists, and dreamers to help us map the invisible world.
View OpeningsTell us about your use case, environment, and constraints. We’ll reply with a clear next step.