This company develops advanced technology products based on AI and mechatronics for the powertrain industry. Key offerings include driving pedal robots designed to automate high-intensity automotive performance testing tasks. They also provide specialized sensors for hydraulic fluid particle detection and RTLS systems for indoor real-time positioning.
Funding
$183.5K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Automotive performance testing on chassis dynamometers involves repetitive and strenuous tasks for human operators, leading to potential safety risks and inconsistent results. Existing methods for monitoring hydraulic systems in heavy machinery lack real-time diagnostics, resulting in delayed detection of component wear and potential equipment failure. Traditional indoor positioning systems often lack the precision and reliability required for advanced automation and safety applications.
Solution
SPLT develops and integrates AI-powered mechatronics solutions for the powertrain and industrial sectors. Their product suite includes an AI-driven driving pedal robot that automates vehicle testing on chassis dynamometers, enhancing testing accuracy and reducing labor costs. They also offer a real-time hydraulic oil particle sensor that uses embedded machine learning to detect equipment faults early, minimizing downtime. Additionally, SPLT provides a real-time location system (RTLS) for indoor environments, enabling precise tracking and navigation for autonomous vehicles and automated guided vehicles (AGVs).
Target Audience
SPLT's primary customers include automotive manufacturers and testing facilities, construction equipment operators, and companies in the logistics and automation sectors.
Features
- Pedal Robot PR-5: Automates acceleration and braking during chassis dynamometer testing, improving repeatability and worker safety.
- Hydraulic Oil Particle Sensor: Detects metallic particles in hydraulic fluid, providing early warnings of wear and potential failures in construction equipment and hydraulic machinery.
- Real-Time Location System (RTLS): Employs SLAM-based sensor fusion for precise indoor positioning of assets and personnel.
- Robot Hand: Development in progress for a robot hand that mimics human hand movements, for use in logistics automation.
- AI-powered diagnostics: Utilizes machine learning algorithms to analyze sensor data and predict equipment failures.
- Wireless communication: Sensors transmit data wirelessly for remote monitoring and analysis.