Dice
United States
Dice was developed to address the challenges businesses face in processing complex invoice data with high accuracy. Traditional OCR and automation tools often fall short, creating costly errors and compliance risks. Dice combines AI-driven extraction with human validation to deliver near-perfect accuracy. Its hybrid system continuously improves as human corrections feed back into machine learning models. Secure integrations with ERP and tax systems ensure compliance, while scalable APIs make adoption seamless for enterprises. For businesses, Dice reduces operational strain, accelerates data workflows, and improves financial accuracy. Today, Dice stands as a reliable partner in intelligent data extraction, blending AI speed with human precision to transform how organizations handle financial documents.
Timeline 1 Year
Services
Prototype Design
Market Research
Frontend Development
Backend Development
QA testing
Platform Deployment
Did You Know?
Companies spend over $31 billion annually on invoice processing errors AI-powered data extraction reduces mistakes by up to 80%.
Did You Know?
Companies spend over $31 billion annually on invoice processing errors AI-powered data extraction reduces mistakes by up to 80%.
ASP.NET
React Bootstrap
React.js
MySQL
MongoDB
Problem Statement
Achieving 99.99% accuracy in invoice data extraction required sophisticated AI training and validation systems. Balancing automated processing with human oversight while maintaining cost-effectiveness posed operational challenges. Integrating with various ERP and tax systems while ensuring data security and compliance required extensive API development and security protocols.
Solutions
We developed a hybrid AI system that combines machine learning algorithms with expert human validation for complex cases. Built continuous learning mechanisms that improve accuracy over time through human corrections. Implemented secure, scalable integration APIs that connect seamlessly with existing financial systems while maintaining enterprise-grade security standards.
Technical Architecture
Dice began with the mission to solve the complex problem of accurate, cost-effective invoice processing. Our development journey focused on creating a platform that learns and evolves, combining the efficiency of AI with the precision of human expertise. The ongoing development reflects our commitment to continuous improvement and adaptation to client needs.
Tech Stack
ASP.NET
React Bootstrap
React.js
MySQL
MongoDB
The process
The process
KPIs
99.99%
Data Accuracy
Dice achieved 99.99% accuracy in invoice data extraction. With 72% active users, it’s a trusted tool for financial data processing.
KPIs
Dice achieved 99.99% accuracy in invoice data extraction. With 72% active users, it’s a trusted tool for financial data processing.
99.99%
Data Accuracy
72%
of traffic are active users
72%
of traffic are active users
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