The ability to identify, detect, evaluate, and prioritize risks according to an organization’s strategy and objectives with an automated solution that mitigates risks seamlessly and ensures compliance to the entity’s regulations.
Mozn offers an Advanced analytics and statistical analysis solution that is used to assess the credit worthiness of proposed clients.
Using unsupervised machine learning techniques, Mozn offers a complex fraud detection solution that aims to detect anomalies and identify fraud.
At Mozn, we offer a policy simulation engine that simulates scenarios based on different KPIs and outcomes.Uses visualization tools created with emerging computer technology to create interactive tools that depict the consequences of policy changes and hence eases decision making.
Using random, rule-based, anomalous and risk techniques in order to perform autonomous inspection with high accuracy and efficiency rates.
allows organizations to detect fraud before it even happens. The platform detects fraud in all kinds of sectors, including but not limited to, banking, insurance, government, and healthcare.
How could we tackle the problem of manual inspection clearance that is currently based on manual rules and subjected to fraud by creating an automatic workflow that manages processes fairly and alerts inspectors?
An ongoing project to develop an AI-based clearance system for food imports which includes an inspection guidance platform for food operations as well as an alert management system to notify concerned personnel about the need to inspect a certain shipment due to a risk or randomized factors.
On different levels Mozn has developed a rigorous understanding of imports and exports data as well as the team built a profiler for inspectors which hence helped in shaping a new business model within the inspection field with higher accuracy rate, lower risk and higher efficiency rate.