• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. E
  4. Eck…
  5. Eckstein Daniel
🔗 Permalink
Inventor profile of:

Daniel Eckstein

City:

Bonn

Country:

Germany

Published Applications:

7

Last publication date:

2024-08-08

Top Assignees for applications by Daniel Eckstein

The entities that hold a legal rights for patent applications filed by inventor Eckstein Daniel:

  • CISCO TECHNOLOGY, INC. 5 San Jose, CA United States

Recent patent applications by Eckstein Daniel

Daniel Eckstein from Bonn, DE has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2024-08-08
US20240267296A1
Electricity

AUTOMATIC CONFIGURATION OF IOT DEVICES FOR ONLINE DATA BROKERAGE SERVICES

#2 | 2023-10-19
US20230336538A1
Electricity

Automated, multi-cloud lifecycle management of digital identities of IoT data originators

#3 | 2022-10-06
US20220321484A1
Electricity

Data pipeline configuration using network sensors

#4 | 2022-02-03
US20220038335A1
Electricity

AUTOMATIC ORCHESTRATION OF IOT DEVICE DATA MANAGEMENT PIPELINE OPERATIONS

#5 | 2022-01-20
US20220021665A1
Electricity

Zero trust for edge devices

#6 | 2022-01-20
US20220021585A1
Electricity

CLUSTER MANAGEMENT OF EDGE COMPUTE NODES

#7 | 2021-11-30
US16931868
Electricity

Edge to multi-cloud data processing and governance

InventorID:

5304637 ⎘

  1. Home
  2. Inventor
  3. E
  4. Eck…
  5. Eckstein Daniel

Some parts © 2022-2026 Patents-Review.com

Browse & Discovery
  • Home
  • Patent Classification
  • Inventor Index
  • Assignee Index
  • Interesting Applications
Search & Tools
  • Basic Search
  • Advanced Search
  • Patent Alerts
  • Top Lists
  • Statistics
Information & Resources
  • About US Patent System
  • Terms & Privacy
  • Pricing
  • Contact
Quick Access
  • Latest Applications
  • Top Inventors 2026
  • Top Assignees 2026
  • Featured Patents
Disclaimer: This website is intended for informational purposes only, and its content is based on public patent records. Please note that some sections of this website have been created or processed using machine learning models. We provide content in good faith but make no guarantees regarding accuracy or completeness. By using this site, you accept any risks and waive claims against us for errors or omissions.