A strategic data analytics solution for managing asset and vegetation risks at any scale of the grid.

APLINES’ asset management solution provides a comprehensive view of the health and criticality of all assets of an electrical grid, facilitating well-informed maintenance and investment decisions.


Optimize OPEX and CAPEX by planning the right actions
at the right time

APLINES solution gives a holistic and accurate view of the asset condition and criticality at network, circuit, section, or span level. Financial quantification of asset risks helps to establish clear indicators for assessing the efficiency of your investment and maintenance actions.

Additionally, our solution projects the future state of grid assets, taking planned actions into account and running multiple scenarios to help you understand how the risk profile of your fleet evolves over time, ultimately enabling the optimization of your asset management program portfolio.

Understand your asset performance and plan accordingly

Even with a minimal data set, proven methodology calculates the assets probability and consequence of failure and presents results in a matrix format clearly ranking all assets according to their risks.

You can benefit from extensive cross-filtering functions and decide what data is being analyzed, based on a wide variety of criteria: asset type, risk level, management unit etc.
This risk ranking is also visualized in a geospatial format, adding a powerful decision-making context to facilitate the prioritization of asset management programs based on asset risk profiles and location.

This provides rich insights into the actual asset condition and its impact on the grid performance. Along with future risk projections and scenario simulations, it enables the prioritization of asset management programs, achieving a maximum reduction in asset risk for a given budget. Versatility of the proven methodology allows making model adjustments to account for your particular economic and regulatory environment, thus ensuring its relevance regardless of your location.


Vegetation risks are included in the network analysis.

Vegetation data is acquired via remote sensing technologies and its impact on the network is quantified by estimating vegetation risks posed to the linear assets.

This offers superior insights into the leading cause of unplanned service interruptions and enables a far greater control over it, thus helping you reduce outages and improve network safety.

Enrich your GIS with new risk attributes

Structured asset data and calculated risk attributes are uploaded to the customer’s
legacy GIS, enriching its asset information with new risk parameters.

This data becomes available to every GIS user, from asset management to operations to maintenance and field crews and increases work efficiency and coordination throughout the organization.

Integrate, organize and structure your asset data

APLINES software solution platform is characterized by easy implementation, scalability and adaptability to the users needs.

Our software provides the possibility to integrate, structure and organize asset data from multiple legacy databases in a unified asset data repository, offering access to all relevant information from one application.
The application offers extensive cross-filtering and sorting capabilities at any scale for unlimited dataset exploration.

API based connections with existing client information systems ensure a seamless data transfer to always keep asset information up-to-date. The user-friendly, intuitive interface allows creating and sharing customizable, comprehensive and up to date online dashboards and reports. These are accessible by all stakeholders, thus enabling effective communication across the organization.

Get started with APLINES today
Find out how APLINES’ solution facilitates the transition from time-based to risk-based asset management by evaluating the health and criticality of grid assets. It enables its customers across the world to optimize their maintenance and investment planning and to meet evolving regulatory compliance requirements.