3d Signals provides a cloud-based Asset Performance Monitoring platform that connects any type of manufacturing machine to the cloud using non-invasive sensors. This technology enables real-time data collection and operational visibility, resulting in increased machine uptime by up to 30% and significant reductions in operating costs.
Funding
$28M 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.
MCFounders
Product
Problem
Many manufacturing facilities struggle with a lack of real-time visibility into machine performance, leading to unplanned downtime and inefficient operations. Traditional methods of monitoring machine health often require complex PLC integration, are time-consuming to implement, and don't provide a comprehensive view of asset performance across diverse machine types. This lack of insight hinders proactive maintenance and prevents manufacturers from optimizing production processes.
Solution
3d Signals offers a cloud-based Asset Performance Monitoring platform that provides manufacturers with real-time operational visibility and actionable insights. The platform uses non-invasive sensors to connect any type of machine to the cloud, regardless of vendor or age, without requiring PLC integration. By collecting and analyzing machine data, 3d Signals enables manufacturers to identify potential issues, optimize machine utilization, and reduce operating costs. The system delivers fast implementation and ROI, allowing manufacturers to digitalize their entire production site in a matter of days and improve machine uptime.
Target Audience
The primary target audience includes manufacturing facilities of all sizes seeking to improve machine uptime, reduce operating costs, and gain real-time visibility into their production processes.
Features
- Non-invasive sensors for easy installation on any machine type
- Real-time data collection and analysis of machine performance
- Cloud-based platform for remote monitoring and access to insights
- Customizable dashboards and reports for operational visibility
- Machine learning algorithms for predictive maintenance and anomaly detection
- Integration with existing manufacturing systems and workflows
- Energy efficiency monitoring to reduce waste and support sustainable manufacturing