What is Novity?
Novity’s TruPrognostics™ engine offers valuable insights into the time remaining until maintenance is necessary, enabling you to forecast your plant's future and make well-informed decisions today. Many companies face challenges due to insufficient high-quality historical data, which can impede effective predictive analytics; however, Novity effectively tackles this challenge through a distinctive combination of machine learning algorithms and physics-based models that relate to common machinery issues. By seamlessly integrating appropriate IoT sensors, Novity guarantees peak performance irrespective of the quality of previously available data. The application provides clear indications of when equipment is likely to experience failure, reducing the reliance on intricate chart analyses and allowing you to prioritize the smooth operation of your plant. This groundbreaking approach utilizes the principles of physics to generate precise predictions regarding failure timelines based on the unique development of various faults. Consequently, users are empowered to proactively manage their maintenance plans and significantly improve overall efficiency in their operations, ultimately leading to a more reliable production environment. Through this system, organizations can achieve greater resilience against unexpected downtimes.
Integrations
No integrations listed.
Similar Software to Novity
The Asset Guardian (TAG) Mobi, an AI-powered EAM solution embedded in Microsoft Dynamics 365 Business Central, with mobiMentor AI to help maintenance teams maximize wrench time.
TAG Mobi helps teams manage assets, schedule maintenance, dispatch work orders, and complete field work from one mobile-ready platform. With IoT and SCADA integration, teams can turn asset signals into maintenance action by monitoring conditions, reducing alert noise, and triggering work orders when issues need attention.
Key features include:
• Asset Lifecycle Management: Extend equipment life
• Preventive & Predictive Maintenance: Reduce failures and downtime
• Work Order Management: Simplify dispatch, tracking, and completion
• Reporting: View KPIs, costs, and performance
• IoT Monitoring: Connect asset signals to alerts and work orders
With AI-driven workflows and voice-enabled execution, TAG Mobi helps teams spend less time on admin work and more time maintaining critical assets
Learn more
Epicor Advanced MES helps manufacturers improve production performance through real-time monitoring of plant operations, equipment, and manufacturing processes. Designed for plastic molders, repetitive manufacturers, and assembly operations involving multiple machines, the solution provides the visibility needed to better understand and manage shop floor performance.
With access to real-time production and machine information, manufacturers can identify resource constraints, uncover additional capacity, track downtime, and reduce scrap and material waste. Advanced MES supports operational improvements by providing timely information on production status and equipment performance.
The solution includes real-time scheduling, process monitoring, production visibility, and performance reporting capabilities. Users can review operational metrics and production details to support informed decision-making, while maintenance teams can access machine condition information to help plan preventive maintenance activities.
Advanced MES also integrates with ERP, accounting, manufacturing estimating, and other business systems to help connect production activities with broader manufacturing operations.
Learn more
DC-E DigitalClone for Engineering
DigitalClone® for Engineering stands out as the sole software that seamlessly combines various scales of analysis within a unified platform. Recognized globally as the premier tool for predicting gearbox reliability, DC-E excels not only in its modeling and analysis capabilities specific to gearboxes and gear/bearing interactions but also uniquely incorporates fatigue life modeling through advanced, physics-based methodologies (US Patent 10474772B2).
By enabling the creation of a digital twin for gearboxes, DC-E encompasses every phase of an asset's lifecycle—from the optimization of design and manufacturing processes to the selection of suppliers, followed by thorough root cause analysis of failures and condition-based maintenance along with prognostics. This innovative computational environment significantly decreases both the time and costs associated with launching new designs and ensuring their long-term maintenance, ultimately enhancing operational efficiency. Moreover, it empowers engineers to make informed decisions at every stage, leading to improved performance and reliability.
Learn more
SAM4
Minimize unexpected downtime in AC motors and rotating machinery by employing electrical waveform analysis, which allows us to predict over 90% of potential failures as much as five months in advance. This method supports predictive maintenance designed for maintenance professionals, helping them focus their limited resources on the equipment that truly needs attention. With the SAM4 system, maintenance teams are equipped to initiate interventions solely when an emerging fault is detected, ensuring quicker responses through immediate fault diagnostics. Once an issue is identified, SAM4 accurately locates the precise fault, enabling the maintenance crew to tackle the underlying problem directly without the need for an exhaustive inspection of the entire asset. Experience success where previous predictive maintenance efforts may have struggled, as SAM4 offers an accuracy level that exceeds traditional vibration-based methods by 20% and is also faster and more cost-effective to implement and maintain. In addition, SAM4's ability to identify over 90% of failures demonstrates that it is up to 50% more accurate than previously used vibration-based solutions, significantly improving your overall maintenance strategy. Ultimately, this innovative approach not only enhances efficiency but also contributes to prolonged equipment lifespan and reduced operational costs.
Learn more
Screenshots and Video
Company Facts
Company Name:
Novity
Date Founded:
2022
Company Location:
United States
Company Website:
novity.us
Product Details
Deployment
SaaS
Training Options
Documentation Hub
Webinars
Video Library
Support
Standard Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English