Landvex deploys structured field observation immediately after disaster events. Damage classification, supply chain disruption mapping and recovery trajectory tracking for insurers, operators and response teams.
Purpose-built intelligence outputs drawn from field observations, not modelled proxies.
Structured field observation of affected areas within hours of event. Photographs, condition assessments, and access status mapped at district and street level.
Structured output: affected area extent, infrastructure status, commercial disruption level, and estimated recovery trajectory. Delivered in standardised format for insurer or operator use.
Road passability, logistics route disruption, and supply access status mapped across the affected geography. Updated as conditions change.
Where official damage assessments diverge from observed conditions on the ground, Landvex flags the delta. Critical for accurate claim validation and resource deployment.
Repeated field observation across the recovery period. Tracks pace of restoration against official projections and flags areas where recovery is stalling.
Landvex operates across 20+ countries. Post-disaster assessment can be deployed across multiple geographies simultaneously for events with wide geographic impact.
From question to verified intelligence output in 24–72 hours.
You tell us the specific question — city, district scope, timeline, and what decision depends on the answer. We do not provide generic reports.
Landvex deploys targeted field observation across the relevant geography. Observed conditions are cross-referenced against official sources and prior data to surface conflicts.
Every output is processed by the Landvex Contradiction Engine. Conclusions are challenged by a second model before delivery. What doesn’t add up is flagged explicitly.
You receive a structured intelligence briefing: district-level scores, conflict flags, confidence levels, and a clear answer to the question you asked. Delivered within 24–72 hours.
Official statistics, satellite imagery, and desk research each have blind spots. Field observation closes the gap.
Municipal statistics, planning registers, and economic surveys reflect conditions that already existed when decisions were made. Landvex measures what is happening now.
Remote sensing identifies structural change but cannot assess vacancy quality, business mix, footfall trends, or the sentiment signals that precede measurable deterioration.
Analysis built on published sources reproduces whatever the official narrative says. Landvex surfaces the delta between what is reported and what is observed.
AI models trained on official data perpetuate official assumptions. Landvex’s Contradiction Engine is specifically designed to challenge the consensus before it reaches your desk.
Describe the question you need answered. We will show you how Landvex can support it.
Intelligence outputs are indicative and advisory only. Based on field observations — not investment, financial or legal advice. Landvex AB accepts no liability for decisions made based on these outputs. Methodology →