Vehicle Insurance
Inspection
In Vehicle Insurance Inspection , our team performs bounding box annotation on images of damaged cars in the Vehicle Insurance Inspection project, we accurately identify & classify the extent of damage using segmentation and pixel-wise masking. This meticulous annotation aids in assessing vehicle damage and processing insurance claims efficiently. We also work on inspection of items from online re-sellers when before they are sent out to customers & also after a customer complains of receiving a damaged item.
Automating Document
Processing
In Automating Document Processing, our team annotate various document types using bounding boxes & transcribe over them. Document types includes invoices, loan applications, restaurant bills, business cards, government ID cards & many more. Creating compliance checks, we enhance efficiency & accuracy of the software to detect such documents & also reject fraudulent documents out of these.
Fund
Management
Accurate annotation of important financial financial documents such as investment portfolios, transaction records & compliance reports are of utmost importance. Using techniques like text extraction & labelling, we identify key data points such as asset classes, transaction amounts & regulatory compliance status. This annotated data helps fund managers analyze portfolio performance, monitor risk exposure & ensure regulatory compliance. We also annotate market research reports & news articles to track market trends & identify investment opportunities, helping our customers make their clients rich.
Invoice
Analysis
For Invoice Analysis, our team annotate invoices by manually drawing bounding boxes around key elements like invoice number, date & total amount etc. Each bounding box receives appropriate labels, such as "Invoice Number" or "Date", for accurate data extraction. Through validation, we ensure consistency & precision in representing invoice information.
Risk
Assessment
For Risk Assessment, our team label attributes such as "Risk Type" (e.g., market, credit, operational), "Impact Level", "Probability", "Mitigation Strategies", "Compliance Status", "Financial Metrics", "Market Trends" & "Insurance Coverage". These annotations enable precise data extraction, essential for effective risk assessment & regulatory compliance.
Fraud
Detection
Fraud Detection is a very large & important business in the financial services sector. Our team performs bounding box annotation on transaction records, account statements, customer profile & communication logs. Our annotators mark classes such as "Suspicious Activity", "Fraudulent Transaction", "Identity Theft", "Unauthorized Access", "Phishing Attempts” & "Malicious Behavior". This annotated data aids in training models to automatically detect these classes.