CONTROL AND TRAINING OF ANALYSIS SYSTEMS

AR135387A1Pending Publication Date: 2026-09-02FEATURESPACE LTD

View PDF 0 Cites 0 Cited by

Patent Information

Application Number: ARP20250100574
Authority / Receiving Office: AR · AR
Patent Type: Applications
Current Assignee / Owner
Priority Date: 2024-02-29
Filing Date: 2025-02-28
Publication Date: 2026-09-02

Application Information

Patent Timeline

29 Feb 2024

Priority

28 Feb 2025

Application

ARP20250100574

02 Sep 2026

Publication

AR135387A1

IPC: G06N3/044; G06N3/08; G06Q20/40; G06Q40/02

Get more patent work done with AI

Run novelty searches—or use them for FTO, design risk, drafting and technical problem-solving.

Explore More Agents

Novelty Search
Search existing technologies and assess novelty
↗
FTO
Analyze whether a product may infringe others' patents
↗
Design FTO
Check prior-design risk for exterior design
↗
Drafting
Draft patent application text based on a technical solution
↗
Find Solutions with TRIZ
Generate feasible solution to solve your technical challenge
↗
IP MCP Servers
Connect trusted patent search and cited evidence to Claude, Cursor or your own AI workflow
↗

Patent Text Reader

Need to check novelty before this filing date? Find Prior Art

No text content released.

Claims

Payment request data is obtained. Payment request data represents an electronic payment requested from a source account to a beneficiary account. Financial institutions maintain both the source and beneficiary accounts. The beneficiary account status is obtained using the payment request data. The beneficiary account status is based on historical payments involving the beneficiary account. A beneficiary account embed is generated by providing the payment request data and the beneficiary account status as input to an embedding model. An account representation is generated by providing the beneficiary account embed as input to a representation learning model. A payment risk indicator is generated for the requested electronic payment by providing the account representation as input to a payment risk indicator model.