Turn Asset Reliability Insights Into Action
See how TwinThread and Ultimo can help your organization connect Industrial AI, digital twins, and Enterprise Asset Management to detect emerging asset issues earlier, prioritize maintenance, and create a closed-loop approach to reliability.
Schedule an Asset Reliability Assessment
Meet with our team to discuss your reliability goals, current maintenance strategy, and where AI-enabled asset intelligence could deliver the greatest value.
What Could Smarter Asset Reliability Look Like for Your Operations?
We've explored how Industrial AI and EAM can work together to bridge the gap between identifying an equipment issue and taking the right maintenance action.
Take the next step by exploring how that approach could apply to your organization.
During a personalized discussion with TwinThread and Ultimo, we can help you evaluate:
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High-value assets and failure modes that may be good candidates for predictive maintenance
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Opportunities to use existing operational data to identify abnormal asset behavior earlier
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How AI-generated insights can complement your current maintenance and reliability processes
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Ways to connect predictive insights with EAM workflows and work orders
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Potential opportunities to reduce downtime, extend asset life, and improve maintenance efficiency
TwinThread is designed to turn operational data into predictive and prescriptive insights, with workflows that can deliver those insights into external systems of record such as maintenance platforms.
Industrial AI Data Readiness Guide
How to Accelerate Value from Your Existing Industrial Data
From Asset Data to Maintenance Action
Improving reliability requires more than predicting when something might go wrong. The insight has to reach the people and processes responsible for acting on it.
Detect
TwinThread digital twins and Industrial AI continuously evaluate asset and process data to identify anomalies, emerging risks, and opportunities for intervention.
Act
Relevant insights can be incorporated into maintenance workflows so teams can investigate, prioritize, plan, and execute the appropriate work.
Improve
By connecting operational intelligence with maintenance execution, organizations can create a continuous feedback loop that supports increasingly informed reliability decisions.
Move Beyond Reactive and Calendar-Based Maintenance
A connected AI + EAM strategy can help reliability and maintenance teams focus resources where they can have the greatest impact.
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Reduce unplanned downtime by identifying developing equipment issues sooner
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Improve maintenance prioritization using asset condition and operational context
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Extend asset life by proactively addressing conditions that contribute to failure
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Increase maintenance efficiency by giving teams more actionable information
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Improve decision-making by connecting operational and maintenance data
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Scale reliability best practices across similar assets, lines, and facilities
TwinThread’s asset-focused solutions are designed to predict and prevent common failure modes and proactively manage asset risk and serviceable life.
Find Your Best Starting Point
You don’t have to transform your entire maintenance strategy at once.
Start with a focused conversation about your current environment. Together, we can identify an asset, failure mode, or reliability challenge that provides a practical opportunity to demonstrate value.
What to expect from the conversation:
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Review your current reliability and maintenance priorities
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Discuss available operational and asset data
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Identify potential AI-enabled reliability use cases
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Explore how TwinThread and Ultimo could fit within your existing technology stack
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Define practical next steps for evaluating the opportunity
Got Questions? We Have Answers
TwinThread connects to virtually any Historian, MES, CMM, DCS, PLC, Sensor Gateway, or IoT platform in minutes. Our Edge Agent technology performs local processing and maintains a secure connection to the TwinThread Industrial Cloud Platform. TwinThread's pre-built solutions can be configured in less than an hour to proactively drive improvements across key operations and maintenance metrics.
Learn more about TwinThread's Platform.
TwinThread’s Industrial Cloud Platform was designed to solve the common productivity challenges industrial companies face today due to aging infrastructure, accelerating skills gaps, volatile supply chains, and regulatory compliance burdens. Our out-of-the-box pre-built solutions combine your sensor and process data with Industrial AI to improve a variety of metrics crucial to the success of your operations, such as quality, efficiency, and reliability.
By providing solutions with flexible deployment architectures, we help our customer’s digital transformation regardless of their current level of maturity, accelerating the process from pilot to broader enterprise-wide rollout.
The key to driving improvements is found in how recommendations from Industrial AI are “operationalized.” Operationalization is a combination of visualizations, analytics, and workflows that form an automated work process to translate your raw industrial data into recommendations and automated actions.
TwinThread’s Industrial Cloud Platform was built with operationalization in mind. Automated data capture, contextualization, visualization, and the ability to create customizable workflows based on AI allow you to realize incremental value at each step in your digital transformation journey.
Pre-built solutions, built around a standardized Digital Twin structure, embed AI into your production and identify opportunities for optimization. Through monitoring rules, AI surfaces critical anomalies that impact performance. These issues are automatically triaged, with actions passed to the right resources for resolution.
Coordination of those actions and the broader implementation of operationalization require a digital command hub, TwinThread’s Virtual Operations Center. This extends the reach of subject matter experts, allowing them to manage and monitor operations across various locations and systems. The VOC, as part of the Industrial Cloud Platform, can be rapidly and easily scaled. It enables teams to digitize their knowledge and collaborate on recommendations and innovation opportunities across their entire operations.
The key to determining whether an improvement initiative you've identified is a good fit for an Industrial AI solution lies in a few key factors:
a. You have historical data supporting the initiative to train with, ideally at three months or more.
b. You have a clearly defined metric that measures current performance, ideally one that’s demonstrated variation over time.
c. Improvements in the defined metric have significant value.
d. Your initiative has scale potential and more than one asset, production line, or plant that can benefit.
TwinThread offers multiple implementation options, from self-provisioned to turnkey through one of our preferred solution partners.
As part of our base subscription, we offer a host of onboarding resources, including online support, regularly scheduled Onboarding Accelerator webinars, and no-agenda office hours during which you can interact live with TwinThread's Customer Success Consultants. These resources are intended to accelerate adoption and ensure long-term self-sufficiency.
The most popular implementation option is our "Assisted" onboarding. TwinThread engineers, or our partner engineers, work directly with your team to implement the first use case on the first process/asset. We support you in achieving self-sufficiency within the first implementation phase. If you don't have the necessary resources for either implementation approach, our preferred solution partners can offer turnkey onboarding and a fully managed service deployment.
TwinThread can be fully operationalized in 4-8 weeks. The software can be deployed in minutes to hours. The remaining onboarding time is focused on incorporating the learnings and recommendations from TwinThread's pre-built solutions into your operating strategy.
Typically, there are three types of systems that TwinThread connects to and works with:
1. On-Premise Automation and Information Systems: PLCs, DCSs, Historians, and MES systems. TwinThread has developed deep integrations with the most popular vendor solutions.
2. IoT Gateways and Smart Sensors: Our "IoT Hub" enables direct streaming data connections from various vendors' sensors using multiple protocols and various communication networks.
3. Cloud-to-Cloud Applications: This includes leading cloud vendors and industrial cloud applications. Similar to On-Premise, we have developed deep integrations with the most popular vendor solutions.