Serial Number
99489800
Owner
Bridge AI Technologies, IncFirst Use Date
Jan 15, 2025
Filing Date
Nov 11, 2025
MEMVID Trademark
Serial Number: 99489800
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Bridge AI Technologies, Inc
2808 Silver Lane NE
301
Saint Anthony, MN 55421
United States
Trademark Details
Filing Date
November 11, 2025
Registration Date
Not Registered
First Use Anywhere
January 15, 2025
First Use in Commerce
January 15, 2025
Published for Opposition
May 12, 2026
Goods & Services
Software as a service (SAAS) services featuring software for integrating memory layers into artificial intelligence (AI) applications; providing temporary use of online non-downloadable software for persistent and long-term memory storage, synchronization, retrieval, and personalization across multiple devices and environments; providing temporary use of online non-downloadable computer software for storing, managing, and retrieving user data, conversation history, unstructured data, and metadata to enhance AI model responses through contextual memory; providing online non-downloadable software for embedding data, building vector indexes, and implementing retrieval-augmented generation (RAG) in large language model (LLM) applications; providing temporary use of online non-downloadable software for vector database management, including ingestion, transformation, embedding generation, similarity search, and relevance feedback; providing temporary use of online, non-downloadable application programming interface (API) software and online, non-downloadable software development kits (SDKs), all for integrating long-term memory, user profiles, preferences, and context into AI applications; design and development of computer software for AI memory systems and retrieval pipelines; providing temporary use of online non-downloadable open-source software for deploying, configuring, and self-hosting AI memory systems; providing online non-downloadable software for enabling integration of persistent and long-term memory, vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines within local or private infrastructure environments for artificial intelligence and machine learning applications