InFrastructure

AI for Condition Management

Extend the life of assets and make informed portfolio maintenance decisions.

 

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By 2030, half of the world’s infrastructure will be at least 50 years old

Essential structures in our built environment are entering an accelerated deterioration phase. Owners need to become much more proactive in their management approach to avoid catastrophic failure. Mind Foundry solutions use accurate defect assessment methods with the latest advancements in AI and machine learning to track asset health over time. We provide prioritisation for inspections and maintenance across entire asset portfolios.
Accurate Condition Data
Improve Condition Data

Conduct faster surveys of low-risk assets with advanced AI and machine learning techniques that increase accuracy and quantify defects. Make the most of your time by using the latest digital inspection techniques to capture all the data needed for reviews back in the office and into the future.
Monitor Deterioration
Monitor Deterioration

Extend your budgets and prioritise spend by understanding the big picture of deterioration across all your assets. Use precise measurements of defect severity combined with comparison pictures over time and accurate rates of deterioration to achieve true condition intelligence. 
Improve Inspector Capacity
Improve Inspector Capacity

Remove the need for inspectors to visit low-risk, high-volume asset classes by using remote data capture techniques. Vehicle and satellite imagery enables new assurance techniques, so that inspectors can monitor assets remotely without the need for expensive visits and closures.

Automated defect detection


We are developing the world’s most comprehensive techniques for identifying defects across structure types, from movement in masonry retaining walls, cracking and spalling in concrete to deflection in beams. Our technology uses AI and machine learning to reveal issues that humans struggle to observe.
Automated defect detection
Objective condition rating


Trained across your historic asset data, and correlated against asset owners around the world, our Machine Learning models ensure that condition rating and defect severity are reported consistently to understand priority and make a better funding case.
Quantified defects and change
Quantified defects and rates of change


Moving from simple severity ratings to accurate measurement of cracks, spalls, rotation, and deflection gives asset owners and managers more confidence in the condition and deterioration rates in their portfolio. Remove the guesswork from your workflow and replace it with data-driven decisions about costs and timelines so you know which repairs to prioritise. 
Objective condition rating
Portfolio condition analytics


Turn asset data into portfolio intelligence that matters. Make better decisions about operational maintenance and capital spend by presenting your case to stakeholders. Support your case with rich data-driven analytics and dashboards that include structured data, images, contextual sources like GIS and long-term weather models, and more.
Portfolio condition analytics

How to work with us

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Mind Foundry collaborates with asset owners and their supply chains to deliver solutions backed by a compelling business case and powered by cutting-edge AI, Machine Learning, and computer science.

We aim to ensure all our solutions:

  • Deliver ROI within 12 months of implementation

  • Enable long-term benefits that significantly reduce portfolio risk

  • Integrate with your processes and technology

  • Enable human-AI interaction

From feasibility study, to implementation, and beyond, our world-leading team collaborate closely with you so that solutions are deeply integrated into asset management practices. We enable digital transformation, whilst remaining pragmatic about feasibility and affordability.

How it works

 

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Features:

  • Investigations dashboard

  • Real-time fraud detection

  • Continuous Metalearning capability

  • Seamless integration with core and third-party systems

  • Algorithmic transparency

  • Incorporates structured and unstructured data

  • Direct bottom-line savings

  • Reduces false positives

  • Proactive case monitoring

  • Feature explainability

  • KPI monitoring

  • Extensible workflows

  • Unified search capability

  • Instant ROI, reduced total cost of ownership

  • Manage parameters of the product

  • Model governance framework

  • Responsible AI tests

  • User-defined alerts

  • Multi-source data

  • Natural language processing

  • Optical character recognition

  • Extensible workflows

  • Proactive case monitoring

  • Downloadable reports

  • Deployment in 30 days

  • Customer support

Speak with us today

Related content

View Resources
5 min read
The Case for Infrastructure Condition Management

 by Tom Bartley

Why human inspections aren’t enough to address the infrastructure condition crisis. The condition of many of our built assets is approaching a crisis...
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Innovating Civil Infrastructure with Computer Vision

 by Claire Butcher

Managing civil infrastructure is a challenge that requires innovative new approaches and solutions to keep up with demands on time and resources....
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AI and the Ageing Infrastructure Problem

 by Nick Sherman

Global civil infrastructure is reaching a crisis point as it ages. Mind Foundry, Aioi Nissay Dowa Insurance, and the Aioi R&D Lab - Oxford are...

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