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Cyvl.ai

AI-powered infrastructure intelligence platform

Vehicle-mounted sensors and AI algorithms map and analyze transportation infrastructure condition, automatically detecting pavement damage, ADA issues, and asset inventory for municipal asset management.

$23.74M raised 📈 Growth Stage
Founded 2020 • 400+ municipalities, 7-figure ARR
Website → ← All Tools

Why This Tool Exists

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The Problem

Municipalities waste months manually inspecting roads and infrastructure, relying on subjective visual assessments that miss critical maintenance needs. Traditional surveys are slow, expensive, and often outdated before completion.

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The Solution

Vehicle-mounted LiDAR sensors and cameras automatically capture 3D infrastructure data during routine fleet operations. AI algorithms detect pavement cracks, potholes, ADA violations, and asset conditions 12x faster than manual methods, providing funding-ready condition reports.

How You Use It

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Delivery Method

SaaS Mobile App
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Integrations

Esri ArcGIS AutoCAD (via ArcGIS connector)
Disciplines
Civil Engineering, Construction
Project Phases
Operations/FM
Project Types
Infrastructure

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: Vehicle-mounted sensors, GPS coordinates, Road/sidewalk imagery
Optional: Existing asset inventory, Project schedules, Maintenance records
Formats: LiDAR point clouds, High-resolution photography, GPS data, Video feeds
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Output

What you get

Format: GIS-compatible condition reports and interactive digital twin
Fields: Pavement condition scores, Crack/pothole locations, Asset inventory, ADA compliance status, Maintenance prioritization, Cost estimates
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Algorithm

How it works

Model: Proprietary computer vision and machine learning models (specific architectures not disclosed)
Accuracy: Claims 12x faster than manual inspection (specific accuracy metrics not published)
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Privacy

How your data is protected

Retention: Project-based retention as needed for business purposes and legal compliance
Training: Biometric data used internally for AI improvement, anonymized when shared with third parties
Compliance: US federal and state data protection laws (no specific certifications disclosed)
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API

Integration

Endpoint: Contact vendor for API access
Method: Not publicly documented

Use Cases

  • • Municipal pavement condition assessment and repair prioritization
  • • ADA compliance verification for sidewalks and curb ramps
  • • Traffic sign inventory and MUTCD compliance tracking
  • • Federal funding application support with condition data
  • • Predictive maintenance scheduling for transportation infrastructure
  • • Digital twin creation for municipal asset management

Pricing

Free
Contact for demo and pilot programs
Pro
Contact for pricing
Enterprise
Custom pricing for municipal contracts
Website →
📚 Research Sources & Data Quality Last verified: 2026-02-01
✅
Verified Data (10)
problem, solution, deliveryMethod, customerBase, fundingTotal, yearFounded, integrations, privacy-policy, biometric-handling, data-location
❌
Not Found (7)
api-documentation, detailed-pricing, algorithm-specifics, accuracy-metrics, compliance-certifications, rate-limits, webhook-support
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.

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