Perceptual provides a modular perception platform that delivers GPU‑accelerated localization, mapping, and multi‑sensor fusion for robotics, autonomous vehicles, and industrial automation. Its plug‑and‑play AI components run on‑device with LiDAR, cameras, radar, and inertial inputs, offering automated calibration, real‑time dynamic masking, and no‑training deployment. A unified developer platform adds sensor capture, synchronization, telemetry, and an analysis SDK to simplify monitoring, benchmarking, and continuous improvement of perception pipelines.
Funding
Funding not disclosed
Founders
Product
Problem
Robotics developers often spend extensive time building custom perception pipelines that are fragile, hard to maintain, and require deep expertise in sensor fusion, calibration, and real-time processing. This slows product development and makes scaling perception capabilities across different hardware setups difficult.
Solution
Perceptual offers a modular perception platform that provides ready-to-use AI components for localization, mapping, and multi‑sensor fusion. The software runs directly on the robot’s hardware, leveraging GPU acceleration and supporting LiDAR, cameras, radar, and inertial inputs without the need for additional training. Automated calibration aligns heterogeneous sensors in real time, while dynamic masking filters noisy or irrelevant data. A unified developer platform handles sensor capture, synchronization, telemetry, and observability, enabling teams to monitor and iterate on perception performance through a single workflow. By abstracting low‑level perception engineering, the platform lets robotics companies focus on higher‑level application logic and faster time‑to‑market.
Target Audience
Primary customers are robotics companies, autonomous vehicle developers, and industrial automation firms that need robust, scalable perception systems for their hardware platforms.
Features
- GPU‑accelerated perception modules for reliable localization and mapping across LiDAR, camera, radar, and odometry inputs
- Plug‑and‑play sensor integration with automated multi‑sensor calibration and real‑time dynamic masking
- On‑device inference that runs without any model training, reducing deployment complexity
- Centralized developer platform offering sensor capture, synchronization, telemetry aggregation, and observability dashboards
- Analysis SDK for benchmarking, evaluation, and continuous improvement of perception pipelines
- Scalable architecture that supports heterogeneous hardware configurations and can be extended with custom AI components