feat: Passwordless cross-device authentication

- Arkitektur: docs/auth/passwordless-architecture.md
- Backend: iom/quixzoom-auth-service/ (FastAPI + Redis)
- Webb: quixzoom-market-pages/se/login/ (QR-kod + polling)
- App: iom/quixzoom-app/src/features/auth/ (push + deep links)

Flöde: QR-kod → app-godkännande → webb-inloggad
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Bernt
2026-07-07 07:11:50 +00:00
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<span>France</span>
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<div class="lv-hero-eyebrow">Road Inspection — France</div>
<h1>Road Inspection in France</h1>
<p class="lv-hero-subtitle">France's route nationale and departementale networks face growing maintenance pressure, with departmental road authorities managing extensive inventories on constrained budgets. Landvex provides CEREMA, DIRs, and conseils departementaux with field-verified road condition intelligence to support evidence-based prioritisation.</p>
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<div class="section-label">Capabilities</div>
<h2 class="section-title">Road Inspection in France — what Landvex delivers</h2>
<p class="section-sub">Every engagement is anchored to a specific decision. Select a capability to discuss how Landvex applies it to your context.</p>
<div class="use-case-grid">
<a class="use-case-card" href="/contact/">
<span class="uc-icon">&#965050</span>
<h3>IQRN/IQROA Condition Pre-Screening</h3>
<p>Field observations structured to support IQRN and IQROA assessment workflows. Identify priority sections before formal survey deployment, enabling targeted use of CEREMA and DIR survey resources.</p>
<div>Learn more &rarr;</div>
</a>
<a class="use-case-card" href="/contact/">
<span class="uc-icon">&#9632;</span>
<h3>Route Departementale Network Surveys</h3>
<p>Systematic road condition assessment across departmental road networks. Support conseils departementaux in prioritising limited DOB maintenance budgets with field-verified evidence.</p>
<div>Learn more &rarr;</div>
</a>
<a class="use-case-card" href="/contact/">
<span class="uc-icon">&#9670;</span>
<h3>Road Marking and Safety Audit Support</h3>
<p>Assessment of route marking, glissicometrie indicators, signage, and roadside hazard conditions. Evidence-based input for DIR safety audit programmes and departmental road safety plans.</p>
<div>Learn more &rarr;</div>
</a></div>
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<!-- COMPARISON TABLE -->
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<h2 class="section-title">Landvex vs traditional road inspection methods</h2>
<p class="section-sub">How field-verified continuous intelligence compares to conventional survey and inspection approaches.</p>
<table class="comparison-table">
<thead>
<tr>
<th>Dimension</th>
<th>Traditional approach</th>
<th>Landvex</th>
</tr>
</thead>
<tbody>
<tr>
<td>IQRN/IQROA supplement</td>
<td>Survey cycle only</td>
<td>On-demand between surveys</td>
</tr>
<tr>
<td>Deployment lead time</td>
<td>Months — survey planning</td>
<td>2472 hours</td>
</tr>
<tr>
<td>Network coverage</td>
<td>RN and selected RD only</td>
<td>Any French road</td>
</tr>
<tr>
<td>Deliverable format</td>
<td>Survey table, PDF</td>
<td>Structured data, GIS-ready</td>
</tr>
<tr>
<td>Contractor verification</td>
<td>Manual</td>
<td>AI-assisted remote</td>
</tr>
<tr>
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<td>Not standard</td>
<td>Automated AI cross-reference</td>
</tr>
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<h2 class="section-title">Decisions Landvex informs in France</h2>
<p class="section-sub">Every Landvex engagement is anchored to one or more of these decisions. We start with your question before designing the intelligence mission.</p>
<div class="decisions-grid">
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<span class="chip-dot"></span>
<span>DIR maintenance prioritisation</span>
</div>
<div class="decision-chip">
<span class="chip-dot"></span>
<span>Conseil departemental DOB budget allocation</span>
</div>
<div class="decision-chip">
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<span>Safety audit programme pre-screening</span>
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<h2 class="section-title">Most systems confirm what you already believe.<br>Landvex finds what doesn&rsquo;t add up.</h2>
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</div>
<div class="contradiction-box">
<div class="conflict-header">
<span class="conflict-flag">&#9888;</span>
<div>
<div class="conflict-title">Narrative Conflict Detected &mdash; RD 906 — Hautes-Alpes</div>
<div class="conflict-desc">IQROA score C suggests standard departmental maintenance interval. Field observation identifies deterioration consistent with D-score conditions on two of the four monitored sections.</div>
</div>
</div>
<div class="conflict-grid">
<div class="conflict-side conflict-official">
<div class="conflict-side-label">Official narrative</div>
<ul><li>&#100003 IQROA survey: 20 months ago, score C</li>
<li>&#100003 Departmental maintenance programme: within schedule</li>
<li>&#100003 No emergency repair orders active</li></ul>
</div>
<div class="conflict-side conflict-observed">
<div class="conflict-side-label">Observed reality</div>
<ul><li>&#100007 Longitudinal cracking on 4.2km inconsistent with C-score parameters</li>
<li>&#100007 Pothole density on 1.8km exceeds D-score threshold</li>
<li>&#100007 Drainage failures at 11 culverts outside maintenance programme</li>
<li>&#100007 Road marking fading below minimum retroreflectivity on 28km</li></ul>
</div>
</div>
<div class="conflict-footer">
<span class="conflict-footer-label">Confidence in official narrative</span>
<span class="conflict-confidence">25%</span>
</div>
</div>
<div>
<div>
<div>&#128269;</div>
<h4>Show me what I am missing</h4>
<p>Blind spots absent from official data and internal reports</p>
</div>
<div>
<div>&#9878;</div>
<h4>AI Red Team</h4>
<p>Every conclusion is challenged by a second model before delivery</p>
</div>
<div>
<div>&#128208;</div>
<h4>Which assumptions are wrong?</h4>
<p>Identify where your thesis conflicts with observed reality</p>
</div>
</div>
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<h2>Request a pilot for Road Inspection in France</h2>
<p>Tell us the decision you need to make. We will design an intelligence mission and return field-verified data within 72 hours — no procurement delay, no physical access required.</p>
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<p class="lv-disclaimer">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. <a href="/methodology/">Methodology &rarr;</a></p>
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<span>Germany</span>
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<div class="lv-hero-eyebrow">Road Inspection — Germany</div>
<h1>Road Inspection in Germany</h1>
<p class="lv-hero-subtitle">Germany's road maintenance backlog is estimated to exceed 30 billion euros across the national and regional network. Landvex provides Autobahn GmbH, state road authorities, and municipalities with field-verified road condition intelligence to prioritise investment where deterioration is most advanced.</p>
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<h2 class="section-title">Road Inspection in Germany — what Landvex delivers</h2>
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<span class="uc-icon">&#965050</span>
<h3>ZEB-Aligned Pavement Assessment</h3>
<p>Field observations structured to supplement ZEB survey data. Identify priority sections for Autobahn GmbH and Landesstrassenbehoerden between formal ZEB cycles — without deploying survey vehicles.</p>
<div>Learn more &rarr;</div>
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<span class="uc-icon">&#9632;</span>
<h3>Municipal Gemeindestrassen Surveys</h3>
<p>Systematic road condition assessment across German Kreisstrassen and Gemeindestrassen networks. Evidence-based input for municipal Haushalt planning and capital programme prioritisation.</p>
<div>Learn more &rarr;</div>
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<span class="uc-icon">&#9670;</span>
<h3>Road Marking and Safety Feature Inspection</h3>
<p>Assessment of road markings, Leitpfosten, signage, and safety barriers across German road networks. Identify non-compliant sections before accident investigation or StVO enforcement.</p>
<div>Learn more &rarr;</div>
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<h2 class="section-title">Landvex vs traditional road inspection methods</h2>
<p class="section-sub">How field-verified continuous intelligence compares to conventional survey and inspection approaches.</p>
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<thead>
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<th>Dimension</th>
<th>Traditional approach</th>
<th>Landvex</th>
</tr>
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<td>ZEB supplement</td>
<td>4-year survey cycle only</td>
<td>On-demand between ZEB surveys</td>
</tr>
<tr>
<td>Deployment lead time</td>
<td>Survey planning — months</td>
<td>2472 hours</td>
</tr>
<tr>
<td>Network coverage</td>
<td>Representative sample</td>
<td>Full network coverage</td>
</tr>
<tr>
<td>Data format</td>
<td>ZEB tables, PDF</td>
<td>Structured data, API, GIS</td>
</tr>
<tr>
<td>Contractor verification</td>
<td>Manual on-site check</td>
<td>AI-assisted remote</td>
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<td>Not standard</td>
<td>Automated AI cross-reference</td>
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<h2 class="section-title">Decisions Landvex informs in Germany</h2>
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<span>StVO compliance pre-screening</span>
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<div class="contradiction-box">
<div class="conflict-header">
<span class="conflict-flag">&#9888;</span>
<div>
<div class="conflict-title">Narrative Conflict Detected &mdash; B9 Corridor — Rhineland-Palatinate</div>
<div class="conflict-desc">ZEB PCR value indicates network in adequate condition. Field observation reveals active deterioration patterns inconsistent with the recorded PCR rating on three monitored sections.</div>
</div>
</div>
<div class="conflict-grid">
<div class="conflict-side conflict-official">
<div class="conflict-side-label">Official narrative</div>
<ul><li>&#100003 ZEB survey: 31 months ago, PCR value 1.6</li>
<li>&#100003 Maintenance programme: within ZEB cycle</li>
<li>&#100003 No emergency orders active</li></ul>
</div>
<div class="conflict-side conflict-observed">
<div class="conflict-side-label">Observed reality</div>
<ul><li>&#100007 Rut depth exceeding ZEB trigger threshold on 5.4km</li>
<li>&#100007 Active cracking patterns consistent with PCR 2.5+ on three sections</li>
<li>&#100007 Safety barrier corrosion failure at six locations</li>
<li>&#100007 Leitpfosten damage on 12km unreported in maintenance register</li></ul>
</div>
</div>
<div class="conflict-footer">
<span class="conflict-footer-label">Confidence in official narrative</span>
<span class="conflict-confidence">21%</span>
</div>
</div>
<div>
<div>
<div>&#128269;</div>
<h4>Show me what I am missing</h4>
<p>Blind spots absent from official data and internal reports</p>
</div>
<div>
<div>&#9878;</div>
<h4>AI Red Team</h4>
<p>Every conclusion is challenged by a second model before delivery</p>
</div>
<div>
<div>&#128208;</div>
<h4>Which assumptions are wrong?</h4>
<p>Identify where your thesis conflicts with observed reality</p>
</div>
</div>
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<h2>Request a pilot for Road Inspection in Germany</h2>
<p>Tell us the decision you need to make. We will design an intelligence mission and return field-verified data within 72 hours — no procurement delay, no physical access required.</p>
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<p class="lv-disclaimer">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. <a href="/methodology/">Methodology &rarr;</a></p>
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<span>Netherlands</span>
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<div class="lv-hero-eyebrow">Road Inspection — Netherlands</div>
<h1>Road Inspection in the Netherlands</h1>
<p class="lv-hero-subtitle">The Netherlands operates a high-density, heavily trafficked road network across Rijkswaterstaat, provincial, and municipal authority boundaries. Landvex provides systematic road condition intelligence aligned with NEN 2767 workflows, enabling Rijkswaterstaat, provincies, and gemeenten to prioritise maintenance at network scale.</p>
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<h2 class="section-title">Road Inspection in the Netherlands — what Landvex delivers</h2>
<p class="section-sub">Every engagement is anchored to a specific decision. Select a capability to discuss how Landvex applies it to your context.</p>
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<span class="uc-icon">&#965050</span>
<h3>NEN 2767 Road Condition Assessment</h3>
<p>Field observations structured to support NEN 2767 condition assessment workflows across the Dutch road network. Identify priority sections for Rijkswaterstaat and provincial authorities between formal inspection intervals.</p>
<div>Learn more &rarr;</div>
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<span class="uc-icon">&#9632;</span>
<h3>Gemeentelijke Road Network Surveys</h3>
<p>Systematic pavement condition assessment across municipal road networks and fietspad infrastructure. Evidence-based input for gemeentelijk meerjarenonderhoudsprogramma planning and capital budget prioritisation.</p>
<div>Learn more &rarr;</div>
</a>
<a class="use-case-card" href="/contact/">
<span class="uc-icon">&#9670;</span>
<h3>Road Marking and Safety Feature Surveys</h3>
<p>Assessment of markings, reflectors, safety barriers, and drainage across Dutch road networks. Identify non-compliant sections before CROW-standard safety audit or incident investigation.</p>
<div>Learn more &rarr;</div>
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<h2 class="section-title">Landvex vs traditional road inspection methods</h2>
<p class="section-sub">How field-verified continuous intelligence compares to conventional survey and inspection approaches.</p>
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<th>Dimension</th>
<th>Traditional approach</th>
<th>Landvex</th>
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<td>NEN 2767 supplement</td>
<td>Regular inspection cycle</td>
<td>On-demand between cycles</td>
</tr>
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<td>Deployment lead time</td>
<td>Weeks — inspection planning</td>
<td>2472 hours</td>
</tr>
<tr>
<td>Coverage per campaign</td>
<td>Selected network</td>
<td>Full network</td>
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<td>MIOR data integration</td>
<td>Manual</td>
<td>API-ready</td>
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<td>Manual inspection</td>
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<td>Automated AI cross-reference</td>
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<h2 class="section-title">Decisions Landvex informs in the Netherlands</h2>
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<span>RWS motorway pavement programme prioritisation</span>
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<span>Provincial MJOP maintenance allocation</span>
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<div class="contradiction-box">
<div class="conflict-header">
<span class="conflict-flag">&#9888;</span>
<div>
<div class="conflict-title">Narrative Conflict Detected &mdash; N207 Corridor — South Holland</div>
<div class="conflict-desc">NEN 2767 condition score 2 indicates standard maintenance interval. Field observation is consistent with score 3 or above on three of five monitored road sections.</div>
</div>
</div>
<div class="conflict-grid">
<div class="conflict-side conflict-official">
<div class="conflict-side-label">Official narrative</div>
<ul><li>&#100003 NEN 2767 inspection: 24 months ago, condition score 2</li>
<li>&#100003 Provincial maintenance programme: within MJOP</li>
<li>&#100003 No emergency repair orders active</li></ul>
</div>
<div class="conflict-side conflict-observed">
<div class="conflict-side-label">Observed reality</div>
<ul><li>&#100007 Rut depth exceeding NEN 2767 score 3 threshold on 2.8km</li>
<li>&#100007 Edge cracking patterns consistent with score 3+ on three sections</li>
<li>&#100007 Drainage failure at 9 culverts outside MJOP schedule</li>
<li>&#100007 Fietspad surface deterioration above score 3 on 5.6km</li></ul>
</div>
</div>
<div class="conflict-footer">
<span class="conflict-footer-label">Confidence in official narrative</span>
<span class="conflict-confidence">23%</span>
</div>
</div>
<div>
<div>
<div>&#128269;</div>
<h4>Show me what I am missing</h4>
<p>Blind spots absent from official data and internal reports</p>
</div>
<div>
<div>&#9878;</div>
<h4>AI Red Team</h4>
<p>Every conclusion is challenged by a second model before delivery</p>
</div>
<div>
<div>&#128208;</div>
<h4>Which assumptions are wrong?</h4>
<p>Identify where your thesis conflicts with observed reality</p>
</div>
</div>
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<h2>Request a pilot for Road Inspection in the Netherlands</h2>
<p>Tell us the decision you need to make. We will design an intelligence mission and return field-verified data within 72 hours — no procurement delay, no physical access required.</p>
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<p class="lv-disclaimer">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. <a href="/methodology/">Methodology &rarr;</a></p>
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<span>Sweden</span>
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<!-- HERO -->
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<div class="lv-hero-eyebrow">Road Inspection — Sweden</div>
<h1>Road Inspection in Sweden</h1>
<p class="lv-hero-subtitle">Landvex provides Trafikverket, Swedish county administrative boards, and municipalities with field-verified road condition intelligence covering pavement quality, markings, signage, and drainage — supporting maintenance prioritisation across the national and local road network.</p>
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<a class="lv-btn lv-btn--lg" href="/pilot/">Request a pilot &rarr;</a>
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<h2 class="section-title">Road Inspection in Sweden — what Landvex delivers</h2>
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<span class="uc-icon">&#965050</span>
<h3>Pavement Condition Assessment</h3>
<p>Systematic documentation of Swedish road surface conditions: cracking, rutting, surface defects, and IRI indicators across national and municipal networks. AI-reviewed, geo-tagged, and delivered as structured data.</p>
<div>Learn more &rarr;</div>
</a>
<a class="use-case-card" href="/contact/">
<span class="uc-icon">&#9632;</span>
<h3>Road Marking and Signage Surveys</h3>
<p>Condition assessment of road markings, retroreflectivity indicators, and signage across Swedish road networks. Identify non-compliant sections before safety audit triggers or incident investigation.</p>
<div>Learn more &rarr;</div>
</a>
<a class="use-case-card" href="/contact/">
<span class="uc-icon">&#9670;</span>
<h3>Drainage and Safety Feature Inspection</h3>
<p>Systematic survey of drainage culverts, gully condition, safety barriers, and roadside hazards. Evidence-based maintenance prioritisation across Swedish national and municipal road inventories.</p>
<div>Learn more &rarr;</div>
</a></div>
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<h2 class="section-title">Landvex vs traditional road inspection methods</h2>
<p class="section-sub">How field-verified continuous intelligence compares to conventional survey and inspection approaches.</p>
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<th>Dimension</th>
<th>Traditional approach</th>
<th>Landvex</th>
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<td>Survey method</td>
<td>Mobile laser scanning, physical teams</td>
<td>Remote AI-assisted observation</td>
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<tr>
<td>Deployment lead time</td>
<td>Months — survey planning required</td>
<td>2472 hours</td>
</tr>
<tr>
<td>Coverage per day</td>
<td>50100km</td>
<td>500km+</td>
</tr>
<tr>
<td>Data format</td>
<td>IRI tables, PDF reports</td>
<td>Structured JSON, GIS-ready</td>
</tr>
<tr>
<td>Re-survey frequency</td>
<td>Annual or biennial</td>
<td>On-demand</td>
</tr>
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<td>Not standard</td>
<td>Automated AI cross-reference</td>
</tr>
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<h2 class="section-title">Decisions Landvex informs in Sweden</h2>
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<span>Trafikverket pavement maintenance prioritisation</span>
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<span class="chip-dot"></span>
<span>Municipal road budget allocation</span>
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<span>Safety audit pre-screening</span>
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<span class="chip-dot"></span>
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<span>Annual road condition reporting evidence</span>
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<!-- CONTRADICTION ENGINE -->
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<h2 class="section-title">Most systems confirm what you already believe.<br>Landvex finds what doesn&rsquo;t add up.</h2>
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</div>
<div class="contradiction-box">
<div class="conflict-header">
<span class="conflict-flag">&#9888;</span>
<div>
<div class="conflict-title">Narrative Conflict Detected &mdash; Rv 40 — Vastra Gotaland</div>
<div class="conflict-desc">VTI IRI survey indicates network within acceptable parameters. Field observation identifies active pavement deterioration and drainage failures inconsistent with the recorded condition.</div>
</div>
</div>
<div class="conflict-grid">
<div class="conflict-side conflict-official">
<div class="conflict-side-label">Official narrative</div>
<ul><li>&#100003 VTI road condition survey: 13 months ago, IRI 2.1</li>
<li>&#100003 Maintenance programme: within standard</li>
<li>&#100003 No emergency interventions logged</li></ul>
</div>
<div class="conflict-side conflict-observed">
<div class="conflict-side-label">Observed reality</div>
<ul><li>&#100007 Transverse cracking on 6.8km not captured in last VTI survey</li>
<li>&#100007 Rutting exceeding Swedish standard on two 1.2km sections</li>
<li>&#100007 Gully blockages at 17 locations outside maintenance schedule</li>
<li>&#100007 Road marking retroreflectivity below NVV threshold on 14km</li></ul>
</div>
</div>
<div class="conflict-footer">
<span class="conflict-footer-label">Confidence in official narrative</span>
<span class="conflict-confidence">27%</span>
</div>
</div>
<div>
<div>
<div>&#128269;</div>
<h4>Show me what I am missing</h4>
<p>Blind spots absent from official data and internal reports</p>
</div>
<div>
<div>&#9878;</div>
<h4>AI Red Team</h4>
<p>Every conclusion is challenged by a second model before delivery</p>
</div>
<div>
<div>&#128208;</div>
<h4>Which assumptions are wrong?</h4>
<p>Identify where your thesis conflicts with observed reality</p>
</div>
</div>
</div>
</section>
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<h2>Request a pilot for Road Inspection in Sweden</h2>
<p>Tell us the decision you need to make. We will design an intelligence mission and return field-verified data within 72 hours — no procurement delay, no physical access required.</p>
<a class="lv-btn lv-btn--lg" href="/pilot/">Request a pilot &rarr;</a>
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<p class="lv-disclaimer">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. <a href="/methodology/">Methodology &rarr;</a></p>
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<span>United Kingdom</span>
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<!-- HERO -->
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<div class="lv-hero-eyebrow">Road Inspection — United Kingdom</div>
<h1>Road Inspection in the United Kingdom</h1>
<p class="lv-hero-subtitle">UK local authority roads maintenance backlogs now exceed ten billion pounds, while National Highways faces increasing pressure to demonstrate network condition between formal SCANNER survey cycles. Landvex provides field-verified road condition intelligence to support prioritisation decisions at scale.</p>
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<div class="section-label">Capabilities</div>
<h2 class="section-title">Road Inspection in the United Kingdom — what Landvex delivers</h2>
<p class="section-sub">Every engagement is anchored to a specific decision. Select a capability to discuss how Landvex applies it to your context.</p>
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<span class="uc-icon">&#965050</span>
<h3>SCANNER and CVI Pre-Screening</h3>
<p>Field observations structured to support SCANNER, SCRIM, and CVI inspection workflows. Identify priority sections before formal survey deployment, enabling targeted allocation of highway inspection resources.</p>
<div>Learn more &rarr;</div>
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<span class="uc-icon">&#9632;</span>
<h3>Local Authority Network Surveys</h3>
<p>Systematic pavement condition assessment across classified and unclassified local authority road networks. Evidence-based input for MTFP budget submissions and DfT Incentive Fund reporting.</p>
<div>Learn more &rarr;</div>
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<a class="use-case-card" href="/contact/">
<span class="uc-icon">&#9670;</span>
<h3>Road Marking and Safety Feature Inspection</h3>
<p>Assessment of road markings, cats eyes, safety barriers, signage, and drainage across UK highway networks. Identify section 58 risk exposure and pre-screen for safety inspection programmes.</p>
<div>Learn more &rarr;</div>
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<section>
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<div class="section-label">Comparison</div>
<h2 class="section-title">Landvex vs traditional road inspection methods</h2>
<p class="section-sub">How field-verified continuous intelligence compares to conventional survey and inspection approaches.</p>
<table class="comparison-table">
<thead>
<tr>
<th>Dimension</th>
<th>Traditional approach</th>
<th>Landvex</th>
</tr>
</thead>
<tbody>
<tr>
<td>SCANNER/SCRIM supplement</td>
<td>Annual survey cycle only</td>
<td>On-demand between surveys</td>
</tr>
<tr>
<td>Deployment lead time</td>
<td>Survey planning — weeks to months</td>
<td>2472 hours</td>
</tr>
<tr>
<td>Traffic management required</td>
<td>Yes for some surveys</td>
<td>No</td>
</tr>
<tr>
<td>Coverage</td>
<td>Classified network sample</td>
<td>Full network including unclassified</td>
</tr>
<tr>
<td>Section 58 evidence</td>
<td>Inspector opinion</td>
<td>Field-verified AI-assisted</td>
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<td>Contradiction analysis</td>
<td>Not standard</td>
<td>Automated cross-reference</td>
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<!-- KEY DECISIONS -->
<section class="decisions-bg">
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<div class="section-label">Decision support</div>
<h2 class="section-title">Decisions Landvex informs in the United Kingdom</h2>
<p class="section-sub">Every Landvex engagement is anchored to one or more of these decisions. We start with your question before designing the intelligence mission.</p>
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<span>Local authority MTFP pavement maintenance budget</span>
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<span class="chip-dot"></span>
<span>National Highways SRN interim maintenance scheduling</span>
</div>
<div class="decision-chip">
<span class="chip-dot"></span>
<span>Section 58 liability risk reduction</span>
</div>
<div class="decision-chip">
<span class="chip-dot"></span>
<span>Contractor performance verification</span>
</div>
<div class="decision-chip">
<span class="chip-dot"></span>
<span>DfT Incentive Fund condition evidence</span>
</div></div>
</div>
</section>
<!-- CONTRADICTION ENGINE -->
<section class="contradiction-bg">
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<div>
<div class="section-label">Contradiction Engine</div>
<h2 class="section-title">Most systems confirm what you already believe.<br>Landvex finds what doesn&rsquo;t add up.</h2>
<p class="section-sub">The most actionable intelligence is contradiction. Landvex actively searches for conflicts between official narratives and observed field reality — and quantifies the confidence gap.</p>
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<div class="contradiction-box">
<div class="conflict-header">
<span class="conflict-flag">&#9888;</span>
<div>
<div class="conflict-title">Narrative Conflict Detected &mdash; A595 Corridor — Cumbria</div>
<div class="conflict-desc">SCANNER RCI classified green. Field observation identifies structural defects and drainage failures at a frequency inconsistent with the recorded condition rating.</div>
</div>
</div>
<div class="conflict-grid">
<div class="conflict-side conflict-official">
<div class="conflict-side-label">Official narrative</div>
<ul><li>&#100003 SCANNER survey: 16 months ago, RCI green</li>
<li>&#100003 Highway maintenance programme: within budget</li>
<li>&#100003 No section 38 emergency repair orders</li></ul>
</div>
<div class="conflict-side conflict-observed">
<div class="conflict-side-label">Observed reality</div>
<ul><li>&#100007 Carriageway cracking at 15 locations exceeding CVI defect threshold</li>
<li>&#100007 Edge deterioration on 9.2km inconsistent with green RCI rating</li>
<li>&#100007 Gully blockages at 31 locations outside maintenance schedule</li>
<li>&#100007 Road marking retroreflectivity below DMRB threshold on 17km</li></ul>
</div>
</div>
<div class="conflict-footer">
<span class="conflict-footer-label">Confidence in official narrative</span>
<span class="conflict-confidence">16%</span>
</div>
</div>
<div>
<div>
<div>&#128269;</div>
<h4>Show me what I am missing</h4>
<p>Blind spots absent from official data and internal reports</p>
</div>
<div>
<div>&#9878;</div>
<h4>AI Red Team</h4>
<p>Every conclusion is challenged by a second model before delivery</p>
</div>
<div>
<div>&#128208;</div>
<h4>Which assumptions are wrong?</h4>
<p>Identify where your thesis conflicts with observed reality</p>
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<h2>Request a pilot for Road Inspection in the United Kingdom</h2>
<p>Tell us the decision you need to make. We will design an intelligence mission and return field-verified data within 72 hours — no procurement delay, no physical access required.</p>
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<p class="lv-disclaimer">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. <a href="/methodology/">Methodology &rarr;</a></p>
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