KorrAI

TRAIL is unusual among AI tools in this category because its value sits in the structured layer, not the model. The pipeline is explicit: ingest anything (documents, drawings, GeoJSON, satellite layers, spreadsheets, sensor feeds), structure it into a site ontology where a location cell carries its design basis, bearing, movement, and inspection history, reason over the relationships with defined scope and rules, flag gaps, contradictions and anomalies, then output decision-ready findings with every claim linked to its source. That last step is the differentiator. 'No source, no claim' is stated as a product rule, and the reasoning drawer lists the evidence and assumptions behind a conclusion and jumps to the highlighted source page — which is what makes the output signable by an engineer and checkable by a regulator. Strengths. The data moat is real: calibrated satellite InSAR covering both historical and ongoing deformation, optical-imagery history, on-demand high-resolution tasking, geological models, an in-built elevation model, and hydrology risk models — not a wrapper over someone else's API. Document Intelligence answers with the exact document and page, Ask TRAIL produces citations and a reasoning trail, Playbooks turn a proven workflow into a one-click automation that checks for missing inputs before the run, and Artifacts let you save an analysis once and reuse it as a living risk registry with thresholds that monitor every cycle. The declared industry focus — tailings storage facilities, open pits, underground workings, hyperscale and colocation data centers, power stations, solar and wind farms, pipeline corridors, highways and bridges — matches where the liability actually is. Weaknesses. Every capability depends on evidence you supply or KorrAI sources: site documents, instrument data, imagery. Teams without that base get less out of it. It is not a general-purpose AI assistant and does not pretend to be. And because the output is designed to be defensible, the review burden is real — humans are expected to check citations and approve findings, which is a feature for a risk committee and a cost for a team hoping to skip the loop. Where it fits. Mining operators running tailings storage facilities, hyperscale and colocation developers doing phase-1 site selection through construction monitoring, energy utilities assessing ground and climate risk, insurers and lenders underwriting subsidence and nat-cat exposure, and large civil or logistics hubs with regulator-facing reporting obligations. Where it doesn't. Single-home assessments, buyers who want bare ground-motion data without geotechnical or failure-mode context, and projects where on-site investigation alone tells you everything you need.