For the Inventor, By the Inventor

Enter assignee name

Santa Barbara, CA, United States of America

Invoca, Inc.

Calculating rank

USPTO Granted Patents = 30

EPO Patents = 1

Trademarks = 11

Forward Citations = 270

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15 inventors (with patents filed for the assignee):

Colin Denison Kelley (18 out of 54 patents)

Jason S Spievak (13 out of 17 patents)

Victor Jara Borda (11 out of 11 patents)

4. David S Trandal (9 out of 135 patents)

5. Michael McCourt (7 out of 7 patents)

6. Michael Kingsley McCourt, Jr (6 out of 6 patents)

7. Robert J Duva (5 out of 15 patents)

8. Sean Storlie (4 out of 4 patents)

9. Leland W Kirchhoff (4 out of 59 patents)

10. Anoop Praturu (3 out of 3 patents)

11. Garvan Michael Kuskey (3 out of 3 patents)

12. Lauren Kimberly Harris (3 out of 3 patents)

13. Nicholas James Burwell (3 out of 3 patents)

14. Michael Lawrence (2 out of 2 patents)

15. Kian Ghodoussi (1 out of 1 patent)

Core Competencies:

Voice Energy Level

Semantic Search

Bayesian Belief Networks

Representation Learning

Topic Modeling

Training Datasets

Artificial Intelligence

Call Tracking

Signal Classifiers

Data Transfer

Campaign Management

Telephonic Communications

30 patents: Sort by Forward Citations

1. 12381973 - Dialog analysis using voice energy level (2025-08-05),

2. 12322382 - Topic-based semantic search of electronic documents based on machine learning models from Bayesian Belief networks (2025-06-03),

3. 12230253 - Automatic classification of phone calls using representation learning based on the hierarchical pitman-yor process (2025-02-18),

4. 12141669 - Pitman-yor process topic modeling pre-seeded by keyword groupings (2024-11-12),

5. 11804216 - Generating training datasets for a supervised learning topic model from outputs of a discovery topic model (2023-10-31),

6. 11521601 - Detecting extraneous topic information using artificial intelligence models (2022-12-06),

7. 11461805 - Call tracking (2022-10-04),

8. 11429901 - Pitman-Yor process topic modeling pre-seeded by keyword groupings (2022-08-30),

9. 11423330 - Performance score determiner for binary signal classifiers (2022-08-23),

10. 11410644 - Generating training datasets for a supervised learning topic model from outputs of a discovery topic model (2022-08-09),

11. 11115520 - Signal discovery using artificial intelligence models (2021-09-07),

12. 10984443 - Call tracking (2021-04-20),

13. 10719783 - Binary signal classifiers that tolerate incorrect training data (2020-07-21),

14. 10515388 - Call tracking (2019-12-24),

15. 10504541 - Desired signal spotting in noisy, flawed environments (2019-12-10),

Company Overview

Invoca, Inc. is a technology company based in Santa Barbara, California, specializing in call tracking and analytics solutions. The company focuses on enhancing customer engagement through its advanced cloud-based platform, which integrates artificial intelligence to optimize marketing performance and improve customer interactions. Invoca's innovative approach enables businesses to gain insights into customer behavior, streamline communication, and drive conversions, making it a key player in the marketing technology landscape.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

30 Patents

#16 in Santa Barbara, CA

#2,686 in California

#11,288 in US

#21,924 in the World

Santa Barbara, CA, United States of America

Invoca, Inc.

Forward Citations = 270

15 inventors:

Colin Denison Kelley (18 out of 54 patents)

Jason S Spievak (13 out of 17 patents)

Victor Jara Borda (11 out of 11 patents)

4. David S Trandal (9 out of 135 patents)

5. Michael McCourt (7 out of 7 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Invoca, Inc.. Retrieved from https://idiyas.com/company/invoca

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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