For the Inventor, By the Inventor

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El Dorado Hills, CA, United States of America

Blaize, Inc.

USPTO Granted Patents = 37

Trademarks = 6

Forward Citations = 32

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26 inventors (with patents filed for the assignee):

Satyaki Koneru (22 out of 33 patents)

Venkata Ganapathi Puppala (10 out of 10 patents)

Sarvendra Govindammagari (8 out of 11 patents)

4. Val Gene Cook (8 out of 35 patents)

5. Kamaraj Thangam (7 out of 7 patents)

6. Lokesh Agarwal (7 out of 7 patents)

7. Ke Yin (6 out of 14 patents)

8. Dinakar C Munagala (6 out of 12 patents)

9. Deepak Chandra Bijalwan (5 out of 5 patents)

10. Srinivasulu Nagisetty (3 out of 3 patents)

11. Ravi Korsa (3 out of 3 patents)

12. Aravind Rajulapudi (3 out of 3 patents)

13. Pathikonda Datta Nagraj (3 out of 3 patents)

14. Adam P Geringer (3 out of 3 patents)

15. Venkata Divya Bharathi Palaparthy (2 out of 2 patents)

Core Competencies:

Graph Streaming

Neural Network

Data Drift Detection

Adaptive Power Supply

Architecture Discovery

Command Buffer Management

Quantization

Multi-Processor Computing

Thread Scheduling

SIMD Execution

Custom Architectures

37 patents: Sort by Forward Citations

1. 12743780 - Method and systems for predicting medical conditions and forecasting rate of infection of medical conditions via artificial intellidence models using graph stream processors (2026-09-22),

2. 12738037 - Method and machine learning system to perform quantization of neural network (2026-09-15),

3. 12547454 - Method and a system for command buffer management in neural network processing (2026-02-10),

4. 12547453 - Graph streaming neural network processing system and method thereof (2026-02-10),

5. 12380690 - Unsupervised data drift detection for classification neural networks (2025-08-05),

6. 12327998 - Adaptive power supply voltage transient protection (2025-06-10),

7. 12307371 - Discovering novel artificial neural network architectures (2025-05-20),

8. 12236245 - Group thread dispatch for graph streaming processor (2025-02-25),

9. 12141606 - Cascading of graph streaming processors (2024-11-12),

10. 12112478 - Method and systems for predicting medical conditions and forecasting rate of infection of medical conditions via artificial intellidence models using graph stream processors (2024-10-08),

11. 12100196 - Method and machine learning system to perform quantization of neural network (2024-09-24),

12. 12057697 - Adaptive power supply voltage transient protection (2024-08-06),

13. 11908193 - Obtaining custom artificial neural network architectures (2024-02-20),

14. 11908132 - Method and systems for predicting medical conditions and forecasting rate of infection of medical conditions via artificial intelligence models using graph stream processors (2024-02-20),

15. 11853762 - Single instruction multiple data execution with variable size logical registers (2023-12-26),

Company Overview

Blaize, Inc. is a technology company based in El Dorado Hills, California, specializing in AI computing solutions. The company develops innovative hardware and software platforms designed to accelerate artificial intelligence and machine learning applications across various industries. Blaize focuses on delivering high-performance, energy-efficient systems that cater to edge computing needs, enabling real-time processing and decision-making in environments such as automotive, robotics, and smart cities.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 6 2026

37 Patents

#5 in El Dorado Hills, CA

#2,187 in California

#9,251 in US

#18,260 in the World

El Dorado Hills, CA, United States of America

Blaize, Inc.

Forward Citations = 32

26 inventors:

Satyaki Koneru (22 out of 33 patents)

Venkata Ganapathi Puppala (10 out of 10 patents)

Sarvendra Govindammagari (8 out of 11 patents)

4. Val Gene Cook (8 out of 35 patents)

5. Kamaraj Thangam (7 out of 7 patents)

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

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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