Take images with your smartphone and instantly detect dents, scratches, and minor body defects in vehicles. Our AI-powered car damage recognition solution makes it possible to activate insurance policies on the spot without any need for expert assessment. We guarantee that our approach will reduce your stress.
We analyse real-time vehicle data to assess risk with greater accuracy, helping insurers make smarter decisions.
We enable remote damage assessment, speeding up claims processing and reducing delays.
We use AI and sensor data to detect and quantify vehicle damage precisely—no more rough estimates.
By providing objective, consistent, and accurate information about the condition of a vehicle, we help insurers to identify potentially fraudulent cases.
We simplify the car damage assessment process and enable car owners to easily and swiftly obtain insurance policies without extra stress.
The system automatically assesses the car in the photo, its colour, model, and angle while also detecting any signs of damage. It also recognises whether the image was modified to prevent fraud, so you never have to worry about the details.
With our solution, you can rapidly assess the car damage level and the location of the damaged components. It also identifies if the car has actual damage from an incident or just surface-level dirt.
Our ML-powered car damage detection solution identifies patterns and trends in the cost of different types of repairs. So that, the repair costs are estimated accurately, and insurance policies are priced fairly, making life easier for you.
By enabling the real-time detection of damage, we eliminate the need for expert intervention or travel to a physical location. Our solution provides a high level of precision, allowing insurance policies to be activated instantly and making it easier for car owners to obtain insurance coverage quickly.
Streamline the vehicle inspection process, reduce the time and labour required for manual inspections, and improve the accuracy of damage assessment. Additionally, get valuable insights on the condition of the fleet to prioritise repairs and optimise your costs.
Automatically detect any damage and flag it for repair. Save time and reduce errors, as well as ensure that all damage is properly identified and addressed.
Valuable data on the condition and history of the vehicles listed on your platform allows you to better inform potential buyers and improve their overall trust and satisfaction with the marketplace, without unnecessary complexity.
We don’t stretch projects into “phases.” We ship usable AI solutions for business fast, test in real data, and scale what works.
We build AI inside your infrastructure, not on top of it. Your systems. Your data. Your rules.
We use AI daily. We know what works because we’ve already broken it, fixed it, and scaled it ourselves.
Clients see 4× faster delivery and up to 30% cost reduction once AI-powered business solutions go live. Efficiency stops being a KPI, it becomes your default setting.
What we do: Interview stakeholders, review data flows, check system access, and score use cases by impact vs. effort. What you get: A short decision brief: target workflow, success metric, data needs, and risk flags.
What we do: Build a working pilot against real data: a copilot, agent, or model plugged into a safe slice of your stack. What you get: A demo you can click, latency/accuracy numbers, and a rollout plan.
What we do: Wire the pilot into production: APIs, auth, permissions, logs, and monitoring. What you get: A deployed feature or workflow that people actually use – with audit trails and alerts.
What we do: Expand to new teams/use cases, tune prompts/models, and train your people. What you get: Dashboards, SOPs, and a clean handover – or we keep running it with you.
Machine learning is used widely for automated manual tasks. Using AI technologies and an algorithm framework, AI will be able to identify damaged components accurately and predict the extent of damage to the structure and determine repair costs and the total cost if necessary. It is possible to use image/video annotations of computers to train ML models. This ML model extracts analysis and provides insights that result in a quick inspection that is more accurate.
In training your Model Learning Machine for vehicle detection and assessments, the first step is selecting a highly qualified Training Data, followed by data analysis and segmentation.
Modern technologies allow the use of AI/ML with features such as Computer Visual Intelligence, Deep Learning, and Instance Segmentation to provide this service with high accuracy and a fast response rate to achieve desired goals.
