AI & Digital IntelligenceTurn Complex Infrastructure Data into Actionable Asset Intelligence
Certus + Egis apply artificial intelligence, digital twins, computer vision, and spatial intelligence to solve complex infrastructure performance challenges. Operating on clean data foundations and integrated with IBM Maximo, our digital intelligence tools analyse asset telemetry, automate visual inspections, and detect anomalies at scale. We help infrastructure operators improve safety, predict component failures, and optimise operational efficiency.
How Can AI and Digital Intelligence Support Infrastructure Operators?
AI & Digital Intelligence uses machine learning algorithms, computer vision, digital twin modelling, and geospatial analytics to extract predictive operational insights from complex asset datasets.
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Data Overload Without Insight: Asset-intensive networks generate vast amounts of sensor, spatial, and visual data that manual teams cannot analyse efficiently.
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Manual Inspection Bottlenecks: Traditional physical inspections are labour-intensive, hazardous, and miss subtle, early-stage equipment degradation.
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Predictive Operational Value: Digital intelligence converts raw visual and telemetry data into real-time health alerts, automated work orders, and digital twins.
What can our AI & Digital Intelligence services include?
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AI servicesApply AI capabilities to defined business, operational and asset challenges.
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Digital twinsCreate digital representations that connect physical assets and environments with relevant information.
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Visual inspectionUse digital technologies to support inspection and understanding of physical assets.
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Computer visionAnalyse visual information to identify relevant features, patterns or conditions.
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Digital representations of assetsCreate digital views of physical assets and infrastructure to support understanding and analysis.
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Spatial intelligenceUse spatial and geospatial information to understand assets in their wider physical context.
How Does Certus Deliver Digital Intelligence Capabilities?
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Use Case & Value Mapping
Identify high-priority operational challenges where AI, visual inspection, or spatial intelligence delivers clear ROI.
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Telemetry & Visual Data Ingestion
Connect drone imagery, CCTV, IoT sensors, and GIS layers into clean data pipelines.
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Model Training & Computer Vision Setup
Train machine learning models and computer vision algorithms to detect specific asset failure modes.
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Digital Twin & EAM Integration
Deploy engineering-grade digital twins and trigger automated maintenance work orders directly in IBM Maximo.
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Continuous Learning & Optimisation
Refine AI model accuracy over time as operational teams validate field inspection findings.
Why choose Certus + Egis for AI & Digital Intelligence?
Certus + Egis combine digital capability with Asset Management, engineering and infrastructure expertise. This allows AI and digital intelligence to be applied to real asset and infrastructure challenges and connected with the systems, information and decisions they need to support.
What can AI & Digital Intelligence enable?
AI and digital intelligence can help organisations:
Analyse complex asset information at greater scale
Identify patterns and insights within operational information
Strengthen understanding of physical assets and environments
Enhance inspection and analysis capabilities
Connect visual, asset and spatial information
Support more informed asset and operational decisions
Turn asset information into intelligence
Talk to our team about where AI and digital intelligence could support your asset and operational priorities.
Frequently Asked Questions About AI & Digital Intelligence
A digital twin is a dynamic virtual representation of a physical asset that ingests operational data to simulate performance, health, and maintenance needs.
Computer vision automatically analyses drone photography and CCTV video to detect cracks, corrosion, and structural defects faster and safer than manual inspection crews.
Spatial intelligence integrates geospatial location data with asset performance records to analyse infrastructure health within its broader geographical environment.