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For the Inventor, By the Inventor

Raanana, Israel

Actimize Ltd.


USPTO Granted Patents = 32


Trademarks = 1

Forward Citations = 261

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49 inventors (with patents filed for the assignee):

goldMedal Danny Butvinik (16 out of 17 patents)

silverMedal Yoav Avneon (5 out of 5 patents)

bronzeMedal Debabrata Pati (5 out of 5 patents)

4.  Sunny Tholar (4 out of 4 patents)

5.  Amir Shachar (4 out of 8 patents)

6.  Sumit Kumar (3 out of 20 patents)

7.  Gabrielle Zaghdoun Azoulay (3 out of 3 patents)

8.  Vaibhav Mishra (2 out of 3 patents)

9.  Steven Logalbo (2 out of 2 patents)

10.  Dalvi Soham Pandurang (2 out of 2 patents)

11.  Pravin Dahiphale (2 out of 2 patents)

12.  Akshaykumar Bhausaheb Tilekar (2 out of 2 patents)

13.  Shevale Ashish Suhas (2 out of 2 patents)

14.  Ori Snir (2 out of 2 patents)

15.  Salil Dhawan (1 out of 46 patents)


Core Competencies:
Artificial Intelligence
Fraud Detection
Machine Learning
Anomaly Detection
Data Analysis
Customer Data
Risk Investigations
Pattern Mining
Data Classification
Suspicious Activity Reports
Feature Selection
Sentiment Analysis

32 patents:

1. 12694405 - System and method for prioritizing customer data (2026-07-28),
2. 12694211 - System and method for intelligent evaluation of artificial intelligence generated texts (2026-07-28),
3. 12682354 - Autonomous risk investigations using an intelligent decision automation framework for investigation data decisioning (2026-07-14),
4. 12675502 - System and method for classifying datasets to guide action (2026-07-07),
5. 12664475 - System and method for determining when an update of an online fraud detection machine learning (ML) model is required (2026-06-23),
6. 12647439 - System and method for machine learning based anomaly detection (2026-06-02),
7. 12632458 - System and method for analyzing computerized data transfers using pattern mining (2026-05-19),
8. 12626151 - Method and system for testing a classification machine learning (ML) model of a tenant of a service provider, in a cloud-based environment (2026-05-12),
9. 12541721 - Method for extreme class imbalance within fraud detection (2026-02-03),
10. 12536544 - Automated validation of suspicious activity report narratives using generative artificial intelligence (2026-01-27),
11. 12469007 - Automatic generation of a two-part readable suspicious activity report (SAR) from high-dimensional data in tabular form (2025-11-11),
12. 12412183 - System and method for detecting fraud and insider trading (2025-09-09),
13. 12346781 - Automated concept drift detection in live machine learning systems for machine learning model updating (2025-07-01),
14. 12299542 - Systems and methods for unsupervised feature selection for online machine learning (2025-05-13),
15. 12141806 - Clustering-based data selection for optimization of risk predictive machine learning models (2024-11-12),
Actimize Ltd., based in Raanana, Israel, specializes in advanced financial crime, risk, and compliance solutions. The company develops innovative software that leverages artificial intelligence and machine learning to help financial institutions detect and prevent fraud, money laundering, and other illicit activities. With a focus on enhancing regulatory compliance and operational efficiency, Actimize plays a crucial role in safeguarding the integrity of financial systems globally.
Profile summary based on public USPTO records.

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USPTO Data Jan 1 1976 - Oct 6 2026

32 Patents

#10 in Raanana

#175 in Israel

#20,660 in the World

Raanana, IL
Raanana, Israel

Actimize Ltd.

Forward Citations = 261

49 inventors:

goldMedal Danny Butvinik (16 out of 17 patents)

silverMedal Yoav Avneon (5 out of 5 patents)

bronzeMedal Debabrata Pati (5 out of 5 patents)

4.  Sunny Tholar (4 out of 4 patents)

5.  Amir Shachar (4 out of 8 patents)

Please report any incorrect information to [email protected]
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