Data Annotation and Labelling – How HITL Enhances Accuracy in AI Model Development
How Many Data Annotators Do You Actually Need? A Benchmark of 20M+ Monthly Annotations Across LiDAR, Video & Geospatial Projects
1 min read
25M+
Number of Transactions
99.9%
Accuracy Level
About the Customer
Our customer is a global corporation with operations in over 170 countries. They also offer infrastructure services, hosting services, consulting services and global business services from mainframe computers to nanotechnology.
Problem
Reduction in Cost and Scalability along with maintaining the current accuracy levels. The biggest challenge was to understand various global invoice formats, multiple international languages, tax codes and structures and business registration details and at the same time delivering impeccable levels of TAT and Accuracy
Approach
NextWealth started slow with regions where processes and platforms were already in place enabling the team to understand and learn at a much quicker pace and then slowly moved on to adding various regions like North America, India, Pakistan, ANZ, Sri Lanka, EMEA and SEA. Our services included pre-processing of invoices, identifying duplicate entries, verifications, quality checks and recalibration of accounts. As a value add, NextWealth developed and deployed “NextPredict”, an AI solution to predict and prevent errors to improve accuracy at an Agent level.
Results
We consistently delivered above expectation on TAT and Accuracy. As a result, the operational cost of the customer went down by 40%
Services Provided
Pre-processing and PO Validation
Duplicate Identification
Verification and QC
Recalibration of Accounts
Let Us Help you with your Back Office Requirements
Check out our Blog
Data Annotation and Labelling – How HITL Enhances Accuracy in AI Model Development
Data Annotation Accuracy Benchmarks 2026: 95–100% Quality Rates Across Computer Vision, Trust & Safety, and Generative AI
1 min read