Services
Sensor Integration & Sensing Pipelines
Designing real-time sensing pipelines covering sensor selection, integration, synchronization and data preprocessing across visual, acoustic and spatial sensors, including time and spatial alignment, calibration workflows and signal conditioning to ensure coherent, low-latency and high-fidelity sensor data for downstream perception and AI systems.
Multimodal Perception Systems
Developing multimodal perception systems by fusing data from cameras, radar, LiDAR, IMU, audio, and complementary sensors. This includes spatiotemporal alignment and probabilistic and learning-based fusion strategies. It also covers redundancy handling and synthetic data generation. These approaches improve accuracy, resilience, and situational awareness in complex environments.
We build perceptual systems that transform raw multi-sensor data into reliable, real-time representations of physical environments. Capabilities include sensor integration, signal processing, multimodal fusion, and spatial perception. This enables accurate scene analysis, tracking, and contextual awareness for Physical AI systems.
Core
Capabilities.
Sensor Signal Processing, Calibration & Robustness Engineering
Ensuring accurate and reliable sensing through calibration, alignment, and advanced signal processing across image, audio, radar, and point-cloud data. This leverages simulation and digital twin frameworks such as Isaac Sim, MuJoCo, and Gazebo. It supports scenario replay, edge-case generation, stress testing, and robustness validation.
Spatial Perception & Scene Analysis
Building perception models for depth estimation, 3D reconstruction, object localization, tracking, and semantic scene analysis. This enables machines to reason about spatial structure, motion dynamics, and environmental context in real time. It forms a robust perceptual foundation for navigation, interaction, and autonomous decision-making.
Solutions
LiDAR-Based Obstacle Detection & Tracking
Perceptual systems leveraging LiDAR data for accurate obstacle detection, segmentation, and tracking in 3D space. This delivers precise spatial awareness, range accuracy, and motion consistency. It supports machines operating in cluttered, dynamic, and safety-critical environments with real-time constraints and robust perception requirements.
Depth Mapping & 3D Workspace Perception
Vision-based perceptual solutions for depth estimation, 3D reconstruction, and workspace modelling using monocular, stereo, or RGB-D cameras. This enables accurate spatial understanding of objects, surfaces, and free space. It supports precise interaction in structured and semi-structured environments.
Occupancy & Spatial Intelligence for Smart Environments
Sensor-driven perception enabling occupancy detection, gesture recognition, and spatial awareness for smart home and indoor products. It combines vision, radar, and audio sensing. This generates reliable contextual awareness under varying lighting, noise, and sensor placement conditions.
Multi-Object Detection & Tracking
Perceptual systems for simultaneous detection, association, and tracking of multiple objects over time using vision, LiDAR, and radar inputs. This implements spatiotemporal data association, motion modelling, and occlusion handling. It maintains consistent identities, trajectories, and kinematic state in dynamic environments.
Accelerators
VERNOX is an end-to-end toolkit for building cobots, robots and humanoids, providing developers with integrated perception, navigation and control modules to accelerate autonomy development. It offers environment mapping, 3D understanding and intelligent decision making, enabling rapid creation of reliable, real world capable robotic systems.
