Evercoast

Founded 2020

Capture, synchronize, and generate 4D spatial data from multiple sensors for robotics and simulations

You can use Evercoast to capture, synchronize, and convert real-world physical data into 3D and 4D digital assets for robotics and simulation environments. It orchestrates multi-sensor arrays, including RGB, depth, LiDAR, thermal, and IMU devices across Ubuntu and Windows. The system calibrates camera layouts using spatial solvers and reconstructs dynamic 4D Gaussian splats or textured meshes. You can stream low-latency spatial feeds directly into NVIDIA Isaac Sim, Unreal Engine, and Unity to train physical models, simulate robot actions, or record human movement.

What Evercoast does

Calibrate camera intrinsics and extrinsics across multi-sensor arraysSynchronize capture feeds across mixed camera hardware setupsGenerate 4D Gaussian splat reconstructions from motion recordingsStream real-time 3D meshes into simulation environmentsExport reconstructed spatial scenes to standard 3D formatsValidate sensor alignment with automatic quality scoringCentralizes and synchronizes from 3 to over 100 cameras and sensor feedsPerforms multimodal spatial calibration using moving checkerboards, static markers, or markerless trackingReconstructs dynamic 4D Gaussian splats and textured 3D meshesStreams live 4D spatial data across networks with low latencyExports spatial models in standard formats including PLY, OBJ, and USDZIntegrates directly with simulation environments like NVIDIA Isaac Sim and Unreal Engine