• Recent
  • Class
  • Inventors
  • Assignees
  • Top Lists
  • Pricing
  • Account
Patents-Review.com
  1. Home
  2. Inventor
  3. M
  4. Mor…
  5. Mortari Matteo
🔗 Permalink
Inventor profile of:

Matteo Mortari

City:

Binasco

Country:

Italy

Published Applications:

7

Last publication date:

2026-01-29

Recent patent applications by Mortari Matteo

Matteo Mortari from Binasco, IT has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2026-01-29
US20260030045A1
Physics

MOVING A STATEFUL APPLICATION BETWEEN NODES OF A DISTRIBUTED COMPUTING ENVIRONMENT

#2 | 2024-10-24
US20240354090A1
Physics

Asynchronous Caching for Stateful Applications

#3 | 2024-05-02
US20240144048A1
Physics

USING RULE ENGINE WITH BACKWARD CHAINING IN A CONTAINERIZED COMPUTING CLUSTER

#4 | 2024-05-02
US20240143369A1
Physics

USING RULE ENGINE WITH PUSH MECHANISM FOR CONFIGURATION DATA OF A CONTAINERIZED COMPUTING CLUSTER

#5 | 2024-05-02
US20240143368A1
Physics

USING RULE ENGINE WITH POLLING MECHANISM FOR CONFIGURATION DATA OF A CONTAINERIZED COMPUTING CLUSTER

#6 | 2024-05-02
US20240143367A1
Physics

USING RULE ENGINE FOR MANAGING APPLICATION PROGRAMMING INTERFACE OBJECTS IN AN OPERATOR FRAMEWORK

#7 | 2023-09-28
US20230308351A1
Electricity

SELF INSTANTIATING ALPHA NETWORK

InventorID:

5864599 ⎘

  1. Home
  2. Inventor
  3. M
  4. Mor…
  5. Mortari Matteo

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.