platoseed
AI-native workspace for end-to-end desktop studies
KorrAI provides an AI-native workspace for remote desktop risk studies across construction, infrastructure, and mining projects. Our platform, TRAIL, enables insurers, asset owners, and builders to evaluate site and construction risk in hours instead of weeks by unifying geospatial data, geotechnical reports, catastrophe model outputs, and engineering context into one traceable system.
KorrAI offers TRAIL, an AI-powered platform for end-to-end desktop studies that supports risk assessment and due diligence for large-scale asset and construction projects. It emphasizes traceability, AI reasoning, and unified data sources to produce report-ready insights for insurers, asset owners, and engineers.
TRAIL provides traceable AI-assisted desktop studies for site assessment and risk analysis. It unifies data sources, enables AI reasoning, and outputs structured evidence layers and reports. The platform covers use cases such as site selection, feasibility, geotechnical desktop studies, design and lifecycle reviews, and construction risk analysis, with features including playbooks, document intelligence, evidence layers, change detection via satellite/drone imagery, ground deformation and water drainage monitoring, geospatial context, and automated reporting designed to stay aligned with expert oversight.
Who it’s for: Asset owners, insurers, risk engineers, and builders involved in high-value, complex sites and hyper-scale projects requiring site selection, due diligence, and ongoing monitoring.
Customer testimonials and case studies mentioned (Zurich North America, Proqio/Encardio Rite Group, Newmont) indicating market traction; emphasis on enterprise-grade risk management for large-scale assets; active outreach (book a walkthrough) suggesting growth and sales activity.
I am a technologist at heart with a passion for solving problems in the AI space.
My passion for knowledge and tinkering with technology quickly lead me to transition from a professional hockey career to the geosciences, where I found an absolute fascination with image sensors, spectroscopy, and working with geospatial data. I am driven by the pursuit of commercially viable technologies and solutions for industries that are most critical to the transition to a sustainable economy. I believe in open data, collaboration, and strong digital privacy protections.

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