About
Ilosta (Crack Map™) is a cloud-based, physics-based AI monitoring platform built for the structural integrity industry. It enables inspectors, engineers, asset owners, and insurance providers to move beyond traditional visual inspection methods by delivering deep, automated analysis of engineering structures including wind turbine blades, bridges, and other critical infrastructure. The platform ingests data captured by drones and sensors, then processes it through Ilosta's proprietary AI algorithm to accurately detect leading-edge erosion, surface cracks, and subsurface defects that are invisible to the naked eye. Results are presented as fully navigable 3D models — available in textured mesh or wireframe format — so teams can explore and assess all asset data in a single environment rather than sifting through hundreds of individual images and videos. Key capabilities include automated damage detection and classification, physics-based damage propagation prediction, sensor fusion, and seamless export to third-party engineering software. The platform stores all inspection data securely in the cloud and eliminates the need for costly secondary inspections by providing deeper insight from the first pass. Ilosta is up to 30 times faster than traditional analysis methods, compressing analysis timelines from three months to as little as three days. It is particularly well-suited for the green energy sector, helping operators maximise the lifespan and reliability of wind energy assets. The solution is built for enterprise and industrial clients who need reliable, cost-effective, and regulation-ready inspection workflows.
Key Features
- Physics-Based AI Damage Prediction: Ilosta's proprietary algorithm goes beyond visual detection to predict the extent of subsurface damage, giving engineers a complete picture of structural integrity.
- Automated Defect Detection & Classification: Accurately detects and classifies leading-edge erosion, surface cracks, and other critical defects on engineering structures using advanced computer vision.
- Interactive 3D Asset Models: Generates navigable 3D models (textured mesh or wireframe) so teams can explore and analyse all asset data in one place, compatible with third-party software.
- Advanced Sensor Fusion: Combines data from multiple sensors and drone captures to produce richer, more accurate assessments than any single data source can provide.
- Secure Cloud Storage & Reporting: All inspection data is stored securely in the cloud with centralised access for inspectors, asset owners, and insurers across the project lifecycle.
Use Cases
- Wind farm operators monitoring blade erosion and crack propagation to extend turbine lifespan and reduce unplanned downtime.
- Civil engineering surveyors analysing bridges and structures for subsurface defects that cannot be identified through visual inspection alone.
- Insurance providers requiring detailed, AI-validated damage assessments to support underwriting decisions and claims management for large engineering assets.
- Drone inspection companies looking to add advanced AI-driven data analysis to their service offering without building proprietary algorithms.
- Asset owners managing large portfolios of infrastructure who need a centralised, cloud-based platform to store, review, and act on inspection data.
Pros
- Dramatically Faster Analysis: Reduces structural analysis timelines from three months to three days — up to 30× faster than conventional methods — enabling faster maintenance decisions.
- Eliminates Secondary Inspections: The depth of insight provided by Ilosta's AI removes the need for costly follow-up inspections, saving significant operational expenditure.
- Subsurface Damage Visibility: Unlike purely visual tools, Ilosta predicts damage below the surface using physics-based modelling, surfacing risks that would otherwise go undetected.
- Multi-Sector Applicability: Designed to work across multiple engineering sectors — from wind energy to civil infrastructure — making it a versatile platform for asset-intensive industries.
Cons
- Enterprise-Focused Pricing: As a B2B platform targeting large asset owners and insurers, Ilosta is unlikely to suit smaller operators or individual inspectors with limited budgets.
- Requires Quality Drone/Sensor Input: The accuracy of AI predictions depends on the quality and coverage of the raw drone or sensor data collected during inspection.
- Limited Public Pricing Transparency: Pricing and access details are not publicly listed; prospective customers must contact the team directly, which may slow evaluation timelines.
Frequently Asked Questions
Ilosta is designed for critical engineering structures including wind turbine blades, bridges, and other assets in sectors such as green energy, civil infrastructure, and industrial facilities.
Unlike tools that only flag visible surface damage, Ilosta uses a physics-based AI algorithm to predict subsurface damage propagation — providing a deeper and more accurate assessment of structural integrity.
No. Ilosta is designed to integrate with existing drone inspection processes, enhancing the analysis phase rather than replacing the data collection step.
Ilosta is up to 30 times faster than traditional analysis methods, compressing typical analysis timelines from three months to as few as three days.
Yes. Ilosta provides detailed, data-backed damage reports and 3D models that help insurance providers accurately assess asset condition and risk, supporting underwriting and claims processes.