Kaskada, Inc.

Calculating rank

USPTO Granted Patents = 4

Forward Citations = 45

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9 inventors (with patents filed for the assignee):

Davor Bonaci (4 out of 4 patents)

Benjamin Chambers (4 out of 5 patents)

Emily Kruger (4 out of 4 patents)

4. Ryan Michael (4 out of 4 patents)

5. Andrew Concordia (3 out of 5 patents)

6. Corinne Digiovanni (2 out of 2 patents)

7. Jordan Frazier (1 out of 2 patents)

8. Charles Maxwell Scofield Boyd (1 out of 1 patent)

9. Charna Parkey (1 out of 2 patents)

4 patents: Sort by Forward Citations

1. 11983384 - User interface for machine learning feature engineering studio (2024-05-14),

2. 11354596 - Machine learning feature engineering (2022-06-07),

3. 11238354 - Event-based feature engineering (2022-02-01),

4. 11226725 - User interface for machine learning feature engineering studio (2022-01-18),

Company Overview

Kaskada, Inc. is a leading provider of data engineering solutions, specializing in real-time data processing and analytics. Our platform helps businesses unlock the potential of their data by enabling advanced data pipelines and machine learning workflows. With a focus on scalability, reliability, and performance, Kaskada empowers organizations to leverage their data for strategic decision-making and competitive advantage.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

4 Patents

#423 in Seattle, WA

#1,465 in Washington

#60,704 in US

Seattle, WA, United States of America

Kaskada, Inc.

Forward Citations = 45

9 inventors:

Davor Bonaci (4 out of 4 patents)

Benjamin Chambers (4 out of 5 patents)

Emily Kruger (4 out of 4 patents)

4. Ryan Michael (4 out of 4 patents)

5. Andrew Concordia (3 out of 5 patents)

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

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]