How a Ukrainian software developer is building an AI platform to fight infrastructure decay, environmental damage, and insurance fraud across the United States

PEMBROKE PINES, FL / ACCESS Newswire / March 31, 2026 / DamageVision - https://damagevision.com

It started with a news story about a building that collapsed.

In June 2021, Champlain Towers South, a 12-story condominium in Surfside, Florida, pancaked in the middle of the night, killing 98 people. For most Americans, it was a tragedy on the evening news. For Dmytro Budnik, an AI software developer who had arrived a year later after this tragedy from Ukraine seeking safety for his family, it was something else entirely. It reminded him of the war he had fled, where buildings fell and lives were lost without warning. The difference was that in the United States, the tools and the talent existed to prevent it. Someone just had to build them.

DamageVision

Three and a half years later, after rebuilding his life in Miami and studying the industries where his experience could matter most, Budnik found his answer. Not one application, but three.

The platform he is building is called DamageVision. It is an AI-powered computer vision system developed by his company, PriorIT Solutions LTD, based in Miami, Florida. It targets three markets that look unrelated at first glance: vehicle ecology, insurance fraud, and civil infrastructure. But they share a single thread. All three are problems of damage detection at scale, where human inspectors cannot keep up and the consequences of getting it wrong fall on ordinary people.

The same AI that spots a cracked bumper on a used car can spot a crack propagating through a concrete bridge column. Train it on one, and it learns patterns that transfer to the others.

Ecology: Keeping Repairable Cars Out of Salvage Yards

Over 14 million vehicles move through U.S. wholesale auctions every year. The sheer volume is the problem. Dealers scroll through thousands of listings a week across multiple platforms, with no reliable way to evaluate what they are looking at. Manual inspection is slow, subjective, and expensive. Two people looking at the same car will come to different conclusions, and a few bad purchases per month add up fast.

Cars that could have been repaired get written off and sent to salvage yards. That is where the environmental damage begins. Each scrapped vehicle carries nearly five gallons of hazardous fluids that can leak into soil and groundwater. According to the EPA, a single oil change worth of used motor oil can contaminate up to one million gallons of freshwater. And once the damage is done, it stays. One former salvage yard in Ohio has been in federal cleanup for over 24 years and still has not met its remediation goals.

DamageVision's first product is built to interrupt this cycle. It is an AI pre-screening tool for independent and small-group dealers that does in minutes what used to take the better part of an hour, with higher consistency than any human evaluator. Dealers upload photos from any device or pull images directly from auction listings. The AI flags damage, then cross-references findings with the dealer's inventory and transportation costs.

The more vehicles correctly identified as repairable, the fewer end up leaking toxins into American soil. By Year 5, the company projects its dealer network could divert over 80,000 vehicles from scrappage annually, preventing nearly 400,000 gallons of hazardous fluids from reaching the ground.

Insurance Fraud: The Hidden Tax on Every American Driver

If DamageVision's AI can tell the difference between a repairable car and a total loss, it can also tell the difference between real damage and a fraudulent claim.

Insurance fraud costs Americans over $40 billion a year. Florida leads the nation in staged-crash incidents and saddles its drivers with some of the highest premiums in the country. The same problem shows up in insurance. Adjusters review claim photos one at a time. The process is manual, inconsistent, and simply cannot keep pace with over 20 million physical damage claims filed across the country each year. Fraud slips through because there are not enough eyes on it.

DamageVision's second release, planned for Year 2, brings computer vision into claims processing. After an accident, the policyholder initiates a live video call. AI analyzes the footage in real time. 3D matching detects staged or pre-existing damage. The technology to do this exists, but today it is only available to the largest insurance carriers through vendors charging six- and seven-figure annual contracts. Thousands of mid-tier and regional insurers are left without it. DamageVision is designed to close that gap. Every fraudulent claim caught is money that stops being passed on to honest drivers.

Infrastructure: 42,000 Bridges and Not Enough Inspectors

This is where the Surfside story comes full circle.

Over 42,000 U.S. bridges are in poor condition. The average American bridge is 47 years old, approaching its 50-year design lifespan. Every day, 168 million trips cross structurally deficient structures. ASCE estimates a $373 billion funding gap over the next decade just to bring them into a state of good repair.

And bridges are only part of the picture. Over 92,000 dams averaging 61 years old. Over 8,500 federal buildings. In Florida, following Surfside, over 900,000 condo units now require mandatory structural inspections.

DamageVision's third release, planned for Year 3, extends the same AI to structural inspection: detecting cracking, spalling, corrosion, and erosion from standard drone photography, with blockchain-based immutable reports for regulatory compliance. The rollout starts with municipal contracts in South Florida, then expands to state DOTs and federal agencies nationwide.

Where It Stands

DamageVision is in active development, validated with dealer partners across Florida, Pennsylvania, and Massachusetts at 89% detection accuracy.

The Engineer

Budnik has spent over 18 years building enterprise software and AI systems. He founded Nanocoding, a consultancy that delivered 500+ projects across 12+ countries. He built and scaled Parasol.ua, Ukraine's leading insurance aggregation platform. At PriorIT Solutions LTD, Budnik leads the technical development of DamageVision, from model architecture and training to deployment.

The biggest step for DamageVision is to take damage inspection to the next level for U.S. civil infrastructure. Federal standards require bridge inspections at least once every two years, but onsite inspectors are not keeping up with public safety demands. This process can take hours to days. The Federal Highway Administration reports over 42,000 bridges in poor condition and over 220,000 spans needing major repair or replacement. The Howard Center for Investigative Journalism at Arizona State University reported that about 6 federal inspectors oversee 70,000 railroad bridges at a time. Do the math. If each inspector inspected 1 bridge a day for a year, it would take 32 years to inspect all assigned bridges once. The Department of Labor estimates the inspector workforce to shrink by about 14,800 over the next decade. This will leave a serious inspection backlog. By combining its artificial intelligence-based technology with drone‑based monitoring, DamageVision aims to deliver real‑time detection, faster analysis, and consistent reporting that improves workforce safety, speeds up disaster response, and helps protect the communities that Budnik and his family now call home.

Media Contact:

Company Name: DamageVision
Full Name: Dmytro Budnik
Email: support@damagevision.com
City and country: Pembroke Pines, FL, USA

SOURCE: Damage vision