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sensmore

Sensmore develops embodied AI and Vision-Language-Action Models (VLAM) specifically for heavy machinery in the mining, construction, and agriculture sectors. Their platform provides tools like Site OS and Machine Assist to enhance operational intelligence, safety, and productivity on worksites. The technology aims to reduce downtime, prevent accidents, and optimize resource efficiency through advanced automation capabilities.

Berlin, GermanyFounded 202261K+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Heavy machinery operating in harsh environments faces challenges such as reduced visibility due to mud, snow, and dust, leading to safety risks, operational inefficiencies, and increased wear and tear. Traditional automation systems often struggle in these conditions due to reliance on external positioning systems and limited environmental awareness.

Solution

Sensmore provides an AI-powered automation platform that enhances the operational capabilities of heavy machinery in challenging environments. The platform utilizes imaging radar and end-to-end learning to provide machines with a robust understanding of their surroundings, even in conditions where visibility is poor. This enables improved safety through collision avoidance, enhanced productivity by optimizing machine usage, and reduced operational expenses related to maintenance, fuel consumption, and tire wear. Sensmore's technology is sensor and machine agnostic, increasing the reliability and range of automation systems.

Target Audience

The primary target audience includes companies in the mining, construction, agriculture, and defense industries that operate heavy machinery in harsh environments.

Features

  • 4D imaging radar for robust perception in adverse weather conditions (mud, snow, dust)
  • End-to-end deep learning for continuous environmental understanding and interaction
  • Localization capabilities independent of GNSS or UWB
  • Sensor and machine agnostic design for versatile integration
  • Site OS for overall site awareness and coordination
  • Machine Assist for real-time operator assistance and guidance
  • Loader Automation for automating loading tasks
  • Live Mapping for creating and updating site maps
This profile is AI-generated and may contain inaccuracies.