Santiago Royo

Business Development, Founder

Beamagine SL

Terrassa, Spain

3 profile visitsVirtual Participant

We're manufacturers of multimodal perception units based on solid state lidar (including perception). We can customize lidar and sensor combinations for any use

My organisation

Beamagine SL

Beamagine SL

Company (Industry)

Terrassa, Spain

Beamagine is a deep-tech SME born in 2016 building advanced sensor units for perception based on LIDAR. We build and deliver multimodal sensor including 3D lidar and any combination of 2D cameras, and we can tailor them to the customer needs. We also present our own off-the-shelf product, the L3CAM, a configurable 3D lidar which can add up polarimetric, RGB and thermal imagers seamlessly. We also develop software perception based in AI and can work in integration on vehicles. Our track record includes customers such as Thales Alenia Space, Veoneer, Mercedes and several others. We have capabilities in all hardware (optics, mechanics, electronics, firmware) and software fields, and in integration, including on-vehicle integration of advanced sensors and edge computers. We have a research vehicle available for research and integration of units. We also have experience in underwater lidar development and in imaging through fog and other types of turbid media.
Read more

About me

Social media

Additional questions

Choose the D2-02 calls you're interested in

None of the calls above

Choose the D3-02 calls you're interested in

HORIZON-CL5-2024-D3-02-04: Critical technologies for the future ocean energy farmsHORIZON-CL5-2024-D3-02-08: Minimisation of environmental, and optimisation of socio-economic impacts in the deployment, operation and decommissioning of offshore wind farms

Choose the D6-01 calls you're interested in

HORIZON-CL5-2024-D6-01-02: Scenario-based safety assurance of CCAM and related HMI in a dynamically evolving transport systemHORIZON-CL5-2024-D6-01-03: Orchestration of heterogeneous actors in mixed traffic within the CCAM ecosystemHORIZON-CL5-2024-D6-01-04: AI for advanced and collective perception and decision making for CCAM applicationsHORIZON-CL5-2024-D6-01-05: Robust Knowledge and Know-How transfer for Key Deployment Pathways and implementation of the EU-CEMHORIZON-CL5-2024-D6-01-06: Optimising multimodal network and traffic management, harnessing data from infrastructures, mobility of passengers and freight transportHORIZON-CL5-2024-D6-01-08: Improved transport infrastructure performance – Innovative digital tools and solutions to monitor and improve the management and operation of transport infrastructureHORIZON-CL5-2024-D6-01-09: Policies and governance shaping the future transport and mobility systemsHORIZON-CL5-2024-D6-01-11: Effects of disruptive changes in transport: towards resilient, safe and energy efficient mobility

Marketplace (3)