Enter assignee name

Trademarks = 3

Forward Citations = 6

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14 inventors (with patents filed for the assignee):

Kunal Verma (6 out of 29 patents)

Edris Naderan (4 out of 4 patents)

Amrit Singhal (3 out of 3 patents)

4. Anant D Kale (2 out of 2 patents)

5. Debashish Panigrahi (2 out of 2 patents)

6. Thomas James White (1 out of 1 patent)

7. Deepti Chafekar (1 out of 1 patent)

8. Snigdha Purohit (1 out of 1 patent)

9. Parivesh Priye (1 out of 1 patent)

10. Arghyadeep Giri (1 out of 1 patent)

11. Hyram Du (1 out of 1 patent)

12. Ankit Bansal (1 out of 1 patent)

13. Akash Vijay Hajare (1 out of 1 patent)

14. Harish Venkataraman (1 out of 1 patent)

6 patents: Sort by Forward Citations

1. 12632885 - Apparatus and method for automatically assigning general ledger codes to an accounts payable invoice (2026-05-19),

2. 12469058 - Apparatus and method for automatically matching purchase order line-items with accounts payable invoice line-items (2025-11-11),

3. 11954739 - Methods and systems for automatically detecting fraud and compliance issues in expense reports and invoices (2024-04-09),

4. 11954440 - Apparatus and method for processing digital invoices with invoice entity feedback override of trained machine learning models (2024-04-09),

5. 11321784 - Methods and systems for automatically detecting fraud and compliance issues in expense reports and invoices (2022-05-03),

6. 11126838 - Apparatus and method for matching line item textual entries with individual image objects from a file with multiple image objects (2021-09-21),

AppZen is an AI-driven platform that automates expense management, compliance, and finance processes for businesses. With a focus on eliminating fraud, waste, and abuse, AppZen uses advanced artificial intelligence to scan expense reports, invoices, contracts, and other financial documents to identify fraudulent or non-compliant activities. The platform helps companies save time and money by reducing manual review and ensuring compliance with policies and regulations.

This text is generated by artificial intelligence and may not be accurate.