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Asset Intelligence and optimization

Move from managing risk to predicting it.
We bridge the gap between asset management theory and technical implementation. Using predictive analytics and AI/ML, we help you optimize maintenance schedules, predict failures, and maximize asset performance for long-term resilience.
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Man in PPE with tablet in a utility building

Get ready to fly!

At Trinnex, we believe in a clear, value-driven journey. We start with a roadmap, identify resources and potential roadblocks, prove ROI with business cases, and deliver continuous value at every step.

Your pathway to outcome-driven innovation

Predict the future
Maximize asset life
Know exactly where to spend your next dollar

What we offer

Predictive asset management
Maintenance strategy optimization
Digital reliability tools
Predictive asset management
Let’s leave reactive maintenance behind. We apply advanced predictive models to your asset data, identifying patterns that indicate impending failure so you can intervene early and avoid costly emergency repairs.
  • Deploy AI/ML models to predict asset failure and degradation curves
  • Shift from age-based replacement to condition-based intervention
  • Reduce unplanned downtime by identifying risks proactively
Maintenance strategy optimization
We help you move from 'firefighting' to optimizedreliability. By analyzing failure modes and maintenance history, we refine yourmaintenance strategies to ensure you are doing the right work at the righttime.
  • Optimize preventive maintenance schedules to reduce unnecessary work
  • Implement Reliability Centered Maintenance (RCM) principles
  • Balance maintenance costs against risk to lower Total Cost of Ownership (TCO)
Digital reliability tools
We build the tools that make intelligence actionable. Integrating with our DSaaS and digital engineering capabilities, we create custom dashboards and analytics that put real-time asset health data in the hands of your operators.
  • Develop custom dashboards for real-time asset health monitoring
  • Integrate predictive insights directly into CMMS workflows
  • Visualize risk and performance data for smarter daily decision-making
Water Quality Tracking
waterCAST helps you monitor contaminants in drinking water including lead, PFAS, microbial contaminants, and emerging contaminants.
Sewer Optimization
Not sure where to start? Follow our well-designed workflow to jump start your verification process. Equipped with proven machine learning capabilities, leadCAST can help accelerate your progress in tackling the unknowns in your system.
Compliance Management
Tired of field sheets? Whether on a tablet or a cell phone, your crew can easily log into leadCAST and submit a field verification report within a few clicks.
Operations Performance
Your customers can scan a QR code or go to a website to  submit reports within a few clicks from their mobile devices and report the service line material.

Discover the real-world benefits of our work

We have helped many different organizations through their digital journeys. Take a look at the case studies below to see examples of our work and how we could help your organization take the next step.

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Discover the real-world benefits of our work

Evesham Municipal Utilities Authority Digitizes Service Line Inventory and Improves Materials Identification with leadCAST

Evesham MUA used Trinnex’s leadCAST® to streamline LCRR compliance. By centralizing data and applying predictive modeling, they reduced unknowns, improved dig-up efficiency, and saved time. The result: faster decisions, stronger community trust, and transparent communication. Discover how leadCAST can simplify compliance and boost public engagement in your utility.

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Martin County Saves Millions with leadCAST's Automated Workflows and Statistical Analysis to Tackle LCRR

Martin County Utilities faced a challenge with 59% of its service lines unverified ahead of the LCRR deadline. The county partnered with CDM Smith and Trinnex, and used leadCAST to streamline compliance by organizing data, verifying 852 lines, and using predictive modeling to classify over 26,000 lines as non-lead. This approach saved approximately $20 million, along with significant time and staff resources. Download the full case study to see how leadCAST can help your community achieve compliance efficiently.

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West Palm Beach Implements leadCAST and Predictive Modeling for LCRR Compliance

The City of West Palm Beach (WPB) discovered over 18,000 unknown service lines, raising concerns about the cost of field verifications. The city, in collaboration with Trinnex, implemented leadCAST to conduct field verifications, integrate drop-ship sampling, and track LCRR activities.
Download the full case study to learn how leadCAST can help your community meet regulatory requirements efficiently.

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End-to-End LCRR Program Management for League City, Texas

League City, Texas, turned to leadCAST to tackle Lead and Copper Rule Revision (LCRR) requirements. With the help of Trinnex, they built a baseline inventory, set up a dashboard for better communication, and used a handy app to streamline field inspections. With tools to prioritize resources, the city ensured everything stayed on track. Thanks to solid quality control, they cut down unknowns by 94%, saving time and effort. Now, the city’s well on its way to submitting its final inventory by the October 16, 2024 deadline, with minimal unknown materials left to deal with.

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LCRR Data Management for MWC

The Middlesex Water Company (MWC) needed a solution to comply with the LCRR regulations and hence chose leadCAST®, a management system for Lead & Copper Rule (LCRR) programs that provides a data management and predictive modeling system. Through leadCAST, MWC has managed to reduce unknowns, perform guided targeted field verifications, build an integrated or comprehensive system to track their lead service line data, and create their service line inventory. Through collaborative efforts with Trinnex, MWC has reduced their unknowns by 40%, saving significant effort and rapidly identifying inventory materials.

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A Plug-and-Play Solution for Salem, VA

Salem, VA uses leadCAST to combine their meter inventory, customer accounts, parcels, and service lines into a single inventory. The inventory makes use of all tabular sources (CSVs and spreadsheets) with existing GIS layers to review all data in one interface. Machine learning also helped Salem to predict and categorize service lines with unknown materials into those with the least or most likelihood of lead with a 95% confidence interval. The Salem team now has easy access to their service line data and can share this with community stakeholders in a public dashboard.

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Backed by experts with a long track record of excellence

Amy Corriveau
Amy Corriveau
President, Trinnex

Contact our Asset Intelligence team

Interested in learning more? Contact a Trinnex Expert today.
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