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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 raisedGrowth Stage
Founded 2020 · 400+ municipalities, 7-figure ARR
Website →← All Tools
WHY IT EXISTS

Why This Tool Exists

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 Traditional surveys are slow, expensive, and often outdated before completion.

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.

USAGE

How You Use It

Delivery Method
SaaSMobile App
Integrations
Esri ArcGISAutoCAD (via ArcGIS connector)
Disciplines
Civil Engineering, Construction
Workflows
Data & Automation, Operations & Facility Management
Project Phases
Operations/FM
Project Types
Infrastructure
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

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
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
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)
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)
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented
USE CASES

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

Pricing

Free
Contact for demo and pilot programs
Pro
Contact for pricing
Enterprise
Custom pricing for municipal contracts
Sources & Research NotesResearch date: 2026-02-01
Data Sources (6)
Fields Checked (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
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
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