Sept 6, 2026 FHWA Compliance Alert: Automate Your Retroreflectivity Method Now.

Automate Your Roadway Inspections Without Buying a Single Piece of Hardware

Use passive AI to identify potholes, safety hazards, and asset damage with 97% accuracy—delivered as a service.

State and local DOTs are facing record-high inflation and $300M+ budget deficits. Blyncsy helps you do more with less by turning existing vehicle data into a living map of your infrastructure. No lidar rigs. No manual patrols. Just the data you need to fix your roads faster.

Trusted by State DOTs and Cities Nationwide

Why Blyncsy

Your maintenance budget is eroding, and staff vacancies are at an all-time high.

Undetected defects lead to multimillion-dollar liability claims and safety hazards that put lives at risk.

Every minute you spend manually “finding” problems is a minute you aren’t “fixing” them. In New York City alone, road defects have cost $138M in legal settlements.

The solution

Network-Wide Visibility at the Speed of Reality

Blyncsy leverages imagery from over 1.5 million vehicles already on your roads today to provide a real-time, objective health score for every mile of your network.

Automated Asset Inventory

Maintain a location-aware record of guardrails, signs, streetlights, and other roadway assets with zero manual field time.

Highway Performance Monitoring System - A national highway showing different types of vehicles

Proactive Pavement Management

Detect potholes and pavement cracking before they become expensive reconstructions. Automate your HPMS and MIRE reporting.

Night-Time Safety Analysis

The only solution that monitors sign retroreflectivity and paintline visibility at night, helping you maintain compliance with federal regulations.

Environmental Protection

Identify vegetation encroachment and debris to prevent flooding and infrastructure damage, all while cleaning the air of unnecessary carbon emissions.

What we Offer

Solutions for your Challenges

Blyncsy provides the advanced intelligence to break the costly, reactive cycle of road maintenance, helping you address issues early to stretch your limited budget and improve public safety.

Remote Work Zone Monitoring

Ensure work-zone safety and compliance with high-frequency, automated visual monitoring and confirmation.

Pavement Condition Analysis

Automate your pavement condition analysis for accurate PASER scoring, defect detection, and streamlined HPMS/MIRE reporting.

Asset Inventory and Condition Assesment

Streamline the creation of a complete, MUTCD-compliant asset inventory while automatically assessing condition and detecting damage.

Critical Safety Assets

Proactively monitor the condition and presence of essential infrastructure like guardrails, street lights, and safety barriers to ensure they are functional when needed most.

Disaster Recovery

Accelerate post-disaster recovery by leveraging historical imagery and automated damage assessments to secure emergency funds faster.

Client Success Stories

Discover the real-world impact Blyncsy is delivering for transportation leaders and their communities.

Alabama Department of Transportation

ALDOT leverages Blyncsy to improve statewide asset surveys and strengthen data-driven maintenance planning.

City of Plano, TX

“Blyncsy’s inventory and detection capabilities have the potential to be really powerful when used on a wide scale to identify issues like streetlight outages and other potential safety concerns.”

— Chad Ostrander, Senior Traffic Engineer, City of Plano

Hawaii Department of Transportation

Bentley’s Blyncsy solution uses AI to help the Hawaii Department of Transportation to spot roadway damage faster, prioritize repairs, and keep drivers safe.

Real world results

We deliver what matters most to you and your residents

Blyncsy doesn’t just have fancy technology that looks great on paper. Our automated AI solution turns crowdsourced dash camera imagery into actionable insights, allowing you and your teams to manage and maintain your infrastructure more efficiently and at a much lower cost. 

40+
Detectable roadway issues

From potholes to damaged guardrails, missing signs and faded crosswalks, Blyncsy’s automated solutions support your efforts to maintain safe roadways while allowing you to deploy your human assets more effectively.

95%
Reduction in manual surveys

Your maintenance and operations teams are better served fixing problems instead of finding them. Blyncsy turns 1.5 million vehicles already on your roads into a 24/7 data collection fleet, keeping your teams out of harm’s way.

90%
Lower costs

Imagine optimizing your maintenance budgets on repairs, not finding problems. Blyncsy can help you significantly lower your costs to maintain your infrastructure assets, allowing you to do more with less.

23,286
Pounds of carbon saved

For every maintenance vehicle you can take off the roads, you’re removing over 23,000 pounds of carbon emissions from the atmosphere, each year. That means cleaner air and less wear-and-tear on your vehicle fleet.

Strategic Impact

Build a More Manageable and More Resilient Transportation Network

Sustainability

Reduce Carbon Emissions

By eliminating dedicated survey vehicles, our partners like Hawaii DOT saved 23,000 lbs of CO2.

Asset Lifespan

Predictive Preservation

Catching minor cracking early allows for cheap preservation (seal coating) instead of expensive reconstruction, extending the life of your roads by years.

Safety

Support Vision Zero Goals

Automatically detect faded crosswalks and missing school zone signs to protect vulnerable road users.

How it Works

From Data to Work Orders in 3 Simple Steps

Dashcam in the windscreen of a car.
Passive Collection

We aggregate imagery from existing commercial fleets already driving your roads.

AI Analysis

Our automated platform uses computer vision and Google Vertex AI to detect assets and defects with engineering-grade precision.

Actionable Intelligence

Results are delivered via OGC APIs or direct integrations into your existing GIS and maintenance software.

FAQ

Your Most Common Questions, Answered.

Blyncsy is the industry leader in providing intelligent roadway insights, automated asset management, and near real-time status updates of road infrastructure for local governments and state departments of transportation. At its core, the platform is an artificial intelligence service that applies computer vision and machine learning to commonly available imagery to identify maintenance issues across vast roadway networks. Historically, DOTs relied on “clipboard and truck” surveys—expensive, manual, and often subjective field investigations that provided only a snapshot in time of a road’s condition. Blyncsy disrupts this model by turning any vehicle on the road into a 24/7 detection network, effectively acting as a “force multiplier” for existing department experts. By automating the discovery of problems, it allows DOT crews to stop looking for issues and start fixing them, shifting the operational paradigm from a reactive stance to a proactive, evidence-based strategy.

One of the most significant barriers to traditional roadway inspection is the logistical and financial burden of specialized equipment, such as LiDAR-equipped vehicles that can cost over $200 per mile to operate. Blyncsy eliminates this requirement by leveraging “movement intelligence” through partnerships with commercial dashcam providers and a comprehensive integration with the Google Street View database. The platform utilizes imagery from over 1.2 million vehicles already traversing the roadway system for other purposes, such as delivery or transit. This crowdsourced approach ensures that the “digital twin” of the infrastructure is updated passively and continuously without the DOT needing to purchase, install, or maintain a single new sensor.
The skepticism surrounding automated systems often centers on the accuracy of detections compared to human eyes. However, empirical studies and pilot programs have demonstrated that Blyncsy’s AI achieves accuracy rates that rival or exceed traditional methods. In a landmark collaboration with the Alabama Department of Transportation (ALDOT), the platform’s detections were found to be within 3% of the department’s own field data surveys. Furthermore, for pavement-specific issues like cracking and potholes, Blyncsy can deliver results with a 1% accuracy margin compared to high-cost LiDAR scans. This high fidelity is maintained by training models on millions of images, ensuring that detections are objective, empirical, and free from the human subjectivity inherent in manual surveys.
The fiscal benefits of Blyncsy are twofold: a reduction in the cost of data collection and a significant increase in the efficiency of maintenance allocation. Traditional manual inspections or LiDAR surveys are notoriously expensive, but Blyncsy can automate these processes for a potential cost saving of 90% to 96%. For instance, while a LiDAR scan may cost $200 per mile, Blyncsy can provide comparable insights for approximately $10 per centerline mile. Beyond the raw data costs, the platform enables “performance-based budgeting,” a model where funds are allocated based on actual measured asset conditions rather than historical precedent. This allows agencies to perform preventative maintenance early, avoiding the massive costs of full roadway reconstruction—a strategy that can be up to 97% more cost-effective than a total rebuild.
Safety is the paramount priority for any DOT, and Blyncsy is designed to support “Vision Zero” goals by identifying hazards that specifically impact pedestrians, cyclists, and other vulnerable road users (VRUs). The AI models are trained to rate the quality of active transportation markings, such as crosswalks and bike lanes, and detect missing or damaged signage that could lead to fatal interactions at intersections. By identifying fading paint or malfunctioning streetlights that create dangerous conditions at night, the platform helps create a more equitable and safe road network for all residents, regardless of their mode of transport. This proactive identification of risks allows agencies to fix road hazards before they create the conditions for a life-altering incident.
The environmental benefits of Blyncsy are substantial and quantifiable. Manual roadway inspections require DOT vehicles to drive thousands of miles, contributing to air pollution and carbon emissions. By utilizing dashcam imagery from vehicles already on the road, Blyncsy effectively removes these extra miles from the atmosphere. Data from the Hawaii Department of Transportation indicates that Blyncsy can save approximately 23,286 pounds of carbon emissions per work vehicle per year. Furthermore, the platform’s ability to identify streetlight malfunctions—such as lights remaining on during the day—directly helps agencies conserve energy and resources. The platform’s contribution to climate goals has been recognized by Google Cloud with a “Sustainability Partner” designation.

Stop Managing Sensors. Start Managing Your Assets.

Join the agencies in Utah and across the US that are automating their workflows and protecting their budgets with Blyncsy.

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The Future of Automated Roadway Maintenance Starts Here.