Serious Labs offers immersive VR simulators that replicate the control dynamics of mobile elevating work platforms, forklifts, and cranes using full‑scale control panels, force‑feedback joysticks, and a six‑degree‑of‑freedom motion base. The system records high‑resolution operator data, applies machine‑learning analytics to predict on‑site performance with approximately 97% accuracy, and provides digital credentialing and API integration for safety and compliance tracking.
Funding
Funding not disclosed
Founders
Product
Problem
Operators of mobile elevating work platforms, forklifts, and cranes must train on expensive, hazardous equipment, which limits training frequency and increases the risk of accidents and equipment damage. Traditional classroom or on‑site training cannot reliably predict real‑world performance, leading to skill gaps and higher operational costs.
Solution
Serious Labs delivers immersive VR simulators that replicate the exact control dynamics of MEWPs, forklifts, and cranes using proprietary physics‑based software and authentic machine control interfaces. The system captures high‑resolution motion and input data, enabling predictive analytics that correlate simulator performance with on‑site operator competence at ≈ 97% accuracy. Its modular, portable hardware can be deployed in training rooms, job‑site trailers, or remote locations, reducing the need for costly equipment downtime. Integrated analytics dashboards provide granular skill metrics, competency tracking, and credentialing, allowing safety managers to assign work based on verified proficiency. The solution also supports seamless data export via RESTful APIs for integration with existing learning management or safety compliance platforms.
Target Audience
Primary customers are construction contractors, material‑handling firms, equipment rental companies, and vocational training centers that need to certify operators while minimizing safety risks and equipment wear. Safety officers and workforce development managers use the platform to assess, track, and assign operators based on validated skill data.
Features
- Real‑time physics engine that models hydraulic, pneumatic, and electromechanical behavior of each equipment type
- Full‑scale replica control panels with force‑feedback joysticks, pedals, and levers for tactile realism
- Six‑degree‑of‑freedom motion base platform delivering vestibular cues that mimic actual equipment movement
- Cloud‑hosted analytics pipeline applying machine‑learning models to predict on‑site performance and generate competency scores
- Credentialing module that issues digital certificates linked to operator IDs and can be synced with LMS or EHS systems
- RESTful API and FHIR‑compatible endpoints for exporting performance data to third‑party safety or asset‑management software
- Portable, lightweight frame (under 50 kg) with quick‑connect hardware, enabling rapid setup in any training environment
- Built‑in ergonomic seating and adjustable visual settings to accommodate diverse user physiologies and reduce motion sickness