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For the Inventor, By the Inventor

Minneapolis, MN, United States of America

Fair Isaac Corporation


USPTO Granted Patents = 277

% Expired Patents = 10.1



Trademarks = 20

Forward Citations = 12,481

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326 inventors (with patents filed for the assignee):

goldMedal Scott Michael Zoldi (91 out of 96 patents)

silverMedal Shafi Ur Rahman (24 out of 25 patents)

bronzeMedal Joseph P Milana (19 out of 19 patents)

4.  Gerald Fahner (15 out of 15 patents)

5.  Stuart L Crawford (13 out of 14 patents)

6.  Larry Peranich (11 out of 12 patents)

7.  Sergei Tolmanov (9 out of 9 patents)

8.  Matthew Kennel (9 out of 9 patents)

9.  Shailesh Kumar (9 out of 9 patents)

10.  Uwe Mayer (8 out of 9 patents)

11.  Andrew Flint (8 out of 8 patents)

12.  Navin Doshi (8 out of 9 patents)

13.  Anu Kumar Pathria (8 out of 14 patents)

14.  Michael Steele (7 out of 8 patents)

15.  Kashyap Babu Rao Kolipaka (7 out of 7 patents)


Core Competencies:
Model Explanations
Uncertainty Quantification
Synthetic Data Generation
Decision Logic
Bias Analysis
Fraud Detection
Neural Networks
Data Governance
Privacy Enhancement
Feature Discovery
Transaction Scoring
Adaptive Analytics

277 patents:

1. 12743601 - Latent feature based model bias mitigation in artificial intelligence systems (2026-09-22),
2. 12737421 - Interpretable feature discovery with grammar-based Bayesian optimization (2026-09-15),
3. 12730789 - Composable modular platform (2026-09-08),
4. 12710955 - GRANULAR MANAGEMENT OF DEPLOYMENT UNITS IN A MODULARIZED SOFTWARE PLATFORM (2026-08-18),
5. 12699562 - Workflow templates for configuration packages (2026-08-04),
6. 12586006 - Deployment of self-contained decision logic (2026-03-24),
7. 12585996 - Explanatory dropout for machine learning models (2026-03-24),
8. 12585630 - Method and apparatus for analyzing coverage, bias, and model explanations in large dimensional modeling data (2026-03-24),
9. 12530600 - Synthetic data generation for machine learning models (2026-01-20),
10. 12511298 - Fast automatic explanation of scored observations (2025-12-30),
11. 12489646 - Blockchain-based model governance and auditable monitoring of machine learning models (2025-12-02),
12. 12475354 - Constrained designed and guided latent feature space contributions to machine learning models (2025-11-18),
13. 12468986 - Rank distillation for training supervised machine learning models (2025-11-11),
14. 12468524 - Extendible, recursive configuration packages that provide versioning trace-ability and testability (2025-11-11),
15. 12443908 - Data distillery for signal detection (2025-10-14),
FICO (formerly Fair Isaac Corporation) is a leading analytics software company, helping businesses make data-driven decisions. Their solutions utilize advanced mathematics and artificial intelligence to provide predictive insights and optimize operational performance. FICO's industry-leading products are used by banks, lenders, insurance companies, and other organizations to assess risk, streamline processes, and enhance customer experiences.
This text is generated by artificial intelligence and may not be accurate.

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USPTO Data Jan 1 1976 - Sep 22 2026

Fair Isaac Corporation
277 Patents

#9 in Minneapolis, MN

#39 in Minnesota

#1,569 in US

#3,176 in the World

Minneapolis, MN (US)
Minneapolis, MN, United States of America

Fair Isaac Corporation

Forward Citations = 12,481

326 inventors:

goldMedal Scott Michael Zoldi (91 out of 96 patents)

silverMedal Shafi Ur Rahman (24 out of 25 patents)

bronzeMedal Joseph P Milana (19 out of 19 patents)

4.  Gerald Fahner (15 out of 15 patents)

5.  Stuart L Crawford (13 out of 14 patents)

Please report any incorrect information to [email protected]
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