Skip to main content
CS

Cambridge Sensoriis

Cambridge Sensoriis builds ultralight micro‑radar modules that integrate directly with drone autopilots to provide high‑resolution obstacle detection, terrain mapping, and precision‑landing assistance in GNSS‑denied or adverse‑weather conditions.

CAMBRIDGE, CambridgeshireFounded 2020101K+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

UAVs often operate in environments where GPS signals are unavailable or unreliable and where weather conditions impair visual sensors, making precise landing, obstacle avoidance, and safe navigation difficult.

Solution

Sensoriis provides ultralight micro‑radar modules specifically engineered for integration with drone autopilots. The radars deliver high‑resolution obstacle detection and terrain mapping in GNSS‑denied or adverse weather scenarios, enabling reliable precision landing, positional tethering, and safe‑landing‑zone validation. Their SWaP‑optimized design minimizes weight and power consumption, allowing deployment on a wide range of commercial and military UAV platforms without compromising flight performance. Firmware updates and proprietary signal‑processing algorithms enhance detection range and accuracy, supporting autonomous operations in challenging conditions.

Target Audience

Primary customers are UAV manufacturers, defense contractors, and operators of commercial drone fleets that require reliable autonomous flight in GPS‑limited or poor‑visibility environments.

Features

  • Sub‑kilogram radar units with low power draw, suitable for small and medium UAVs
  • Real‑time 3‑D obstacle detection and terrain profiling for autonomous navigation
  • Precision landing assistance using Active Radar Cooperating (ARC) technology
  • Positional tethering capability to maintain stable hover or hover‑over points without GPS
  • Integrated firmware updates that improve detection range, resolution, and landing zone validation
  • Compatibility with standard UAV autopilot interfaces and open‑source flight stacks
This profile is AI-generated and may contain inaccuracies.