Perceptual Intelligence

Building real-time multimodal sensing pipelines across vision, audio, radar and sensor fusion to deliver robust scene understanding, tracking and contextual awareness for intelligent systems.

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 fusing data from cameras, radar, LiDAR, IMU, audio and complementary sensors, including spatio-temporal alignment, probabilistic and learning-based fusion strategies, redun-dancy handling and synthetic data gene-ration to improve accuracy, resilience and situational awareness in complex environments.

We build perceptual systems that transform raw multi-sensor data into reliable, real-time represen-tations of physical environments. Capabilities include sensor integration, signal processing, multimodal fusion and spatial perception to enable 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 calib-ration, alignment and advanced signal processing across image, audio, radar and point-cloud data, leveraging simulation and digital twin frameworks such as Isaac Sim, MuJoCo and Gazebo for 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, enabling machines to reason about spatial structure, motion dynamics and environmental context in real time, forming 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, delivering precise spatial aware-ness, range accuracy and motion consistency for 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, enabling accurate spatial understanding of objects, surfaces and free space for precise interaction in structured and semi-structured environments.

Occupancy & Spatial Intelligence for Smart Environments

Sensor-driven perception enabling occupancy detection, gesture recog-nition and spatial awareness for smart home and indoor products, combining vision, radar and audio sensing to generate 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, implementing spatio-temporal data association, motion modelling and occlusion handling to maintain consistent identities, trajectories and kinematic state in dynamic environments.

Accelerators

Slide

VeRNOX

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.

Physical AI

Enterprise AI