IDL delivers AI-driven inspection and analytics platforms that transform raw aerial data into structured, auditable intelligence — enabling infrastructure owners, contractors, and authorities to make faster, more defensible decisions.
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At IDL, we develop sophisticated analytics systems that quickly, precisely, and at scale transform unprocessed data into understandable, useful insights. Our solutions combine advanced AI with proven engineering practices to deliver tools that are not only visually clear, but genuinely solve real‑world challenges.
From construction and infrastructure to finance, compliance, and insurance, we operate in industries where accuracy and speed are essential. Measurable impact, lower risk, and operational clarity are our main goals whether we're automating quality assessment for whole road networks, developing predictive maintenance models for industrial assets, or expediting compliance monitoring.
"AI for the sake of AI" is not what we construct. We create systems that work well with your operations and produce dependable, long-lasting outcomes.
reduction in inspection time vs. conventional on-site methods
from aerial scan to
structured results
cost savings compared to manual inspection workflows
precision in automated
defect classification
A drone-based platform for high-throughput road assessment. Aerial imagery is processed by proprietary AI models to produce standardised, georeferenced defect data — supporting road safety management, maintenance planning, and construction acceptance across national and regional networks.
Our engineering team designs custom inspection pipelines, dashboards, and structured compliance reports aligned with your contractual obligations and applicable regulatory standards. Outputs are formatted for direct use in formal submission and long-term archiving.
All aerial data collection is conducted by certified operators fully licensed for commercial inspection and surveying under applicable aviation regulations — ensuring legally compliant, chain-of-custody documentation from capture to report.
A high-performance, cloud-native backend processes drone data in real time. Role-based access control, secure evidence retention, and an intuitive web dashboard give every stakeholder — from site engineer to project director — the right data at the right level of detail.
Technical and operational specialists are available around the clock to ensure seamless onboarding, continuity of operations, and rapid resolution of any field or platform issues.
Flights are conducted according to predefined parameters — altitude, overlap ratio, camera configuration, and ground sampling distance — to ensure consistent image geometry suitable for automated analysis. Embedded GPS metadata enables direct georeferencing of all detected elements along the project alignment.
When GPS data is absent or of insufficient accuracy, imagery is manually referenced to project coordinates — chainages, stations, or design alignment files — ensuring full usability regardless of drone hardware or site constraints.
For newly constructed pavements, detected road markings are cross-referenced against uploaded design layers. The platform verifies position, alignment, and stationing against approved drawings — critical for safety-sensitive elements such as overtaking prohibition zones.
For repainting and restoration work, the platform evaluates geometric conformity against permitted tolerance thresholds. This identifies cumulative drift and progressive degradation that may be invisible to visual inspection yet still impair driver perception.
Structured inspection reports are generated automatically, formatted for formal submission, contractual documentation, and regulatory archiving. Each report captures project metadata, inspection scope, status, and a complete record of identified irregularities.
All project assets — raw imagery, AI outputs, verification logs, and final reports — are retained within the platform for a recommended period of five years, supporting warranty assessments, audits, and potential legal proceedings.
Platform permissions are configured by role: administrators, project managers, site engineers, supervisors, and contractor representatives each access only the data and functions relevant to their responsibilities.
IDL supports infrastructure and engineering projects across Europe, working with governments, national road authorities, contractors, and asset owners to deliver faster, data-driven project outcomes.
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Systematic drone-based assessment of road surfaces across extended network segments.AI algorithms classify pavement defects — cracking, rutting, surface degradation — with consistent, repeatable accuracy. Outputs feed directly into maintenance prioritisation frameworks and long-term asset management planning.
Automated compliance verification of road markings against design specifications and standards tolerances. The platform detects geometric deviations, fading, positional drift, and missing elements — delivering georeferenced defect inventories that replace subjective on-site evaluation and provide a legally defensible inspection record.
Continuous, non-disruptive aerial inspection of railway corridors, including tracks, embankments, drainage structures, and signage. AI-driven analysis produces structured condition reports that support planned maintenance, regulatory compliance, and incident risk reduction — without any operational interruption to active rail services.
Periodic high-resolution drone surveys of defined areas — construction sites, critical infrastructure perimeters, or sensitive land zones — enable systematic comparison between survey epochs. The platform automatically identifies and documents material changes: earthwork progression, structural alterations, encroachments, or security-relevant developments.
