Nexscient develops AegisOne™ RxM, a platform that utilizes IIoT technology, edge processing, and machine-learning algorithms to monitor and analyze machine health in real-time. This system provides actionable insights to prevent unexpected machine failures and optimize operational performance, enhancing productivity in continuous operations.
Funding
$545.8K 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
Unexpected machine failures and suboptimal operational performance can significantly hinder productivity in continuous operations, leading to costly downtime and reduced efficiency. Existing machine monitoring programs often require complex implementation and operation.
Solution
Nexscient develops AegisOne™ RxM, a prescriptive maintenance solution that leverages Industrial IoT (IIoT) technology, edge processing, and machine-learning/AI algorithms to provide real-time machine health and performance insights. The platform collects, diagnoses, and transmits critical information, offering increased visibility, analytics, and continuous connectivity. AegisOne™ simplifies the implementation and operation of machine monitoring programs by offering a streamlined, plug-n-play solution that helps avert sudden machine failures and enables actionable insights for optimal performance. The system integrates an organization’s information systems and core business intelligence processes by breaking down barriers between siloed enterprise applications and unifying the organization’s data into one aggregated ecosystem.
Target Audience
The primary target audience includes manufacturing, logistics, healthcare, financial services, retail, and travel & hospitality companies seeking to improve operational efficiency and prevent machine failures.
Features
- IIoT-enabled data collection from machines
- Edge processing for real-time data analysis
- Machine-learning/AI algorithms for predictive maintenance
- Cloud computing infrastructure for data storage and accessibility
- Real-time machine health and performance monitoring
- Streamlined, plug-n-play implementation
- Predictive analytics for improved operations and productivity
- Computer vision for optimizing quality outputs in manufacturing
- Generative AI for bespoke industrial applications
- Biometric ID for better security