RAIN
LIVE

Serial Number

99489903

Owner

Loop SME Inc.

Attorney

Alyssa M. Worsham

Filing Date

Nov 11, 2025

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RAIN Trademark

Serial Number: 99489903

RAIN is a trademark filed by Loop SME Inc. on November 11, 2025. The trademark is classified under Class 9 (Computers & Electronics), Class 41 (Education & Entertainment), Class 42 (Computer & Scientific), Class 45 (Legal & Security Services), Class 35 (Advertising & Business). The application is currently pending registration.

Owner Contact Info

Loop SME Inc.

668 N. Coast Hwy #255
Laguna Beach, CA 92651

Entity Type: 03

Trademark Details

Filing Date

November 11, 2025

Registration Date

Not Registered

Goods & Services

Advertising and marketing services; Development of promotional campaigns; Influencer marketing services; Arranging influencer collaborations; Marketing services, namely, arranging co-marketing and business development partnerships; Business strategy, marketing, and partnership-optimization services utilizing governance-based relational intelligence; Coordinating co-marketing, partnership, and influencer ecosystems through adaptive relational-synthesis frameworks

Educational services, namely, providing software featuring AI-driven relational systems and social technology; Entertainment services, namely, providing software featuring AI-driven relational systems and social technology; Educational programs, workshops, and media content demonstrating governance-driven relational intelligence and adaptive network coordination; Providing instruction and learning experiences in compatibility modeling and synthesis systems

Modeling and predicting relational compatibility between and among individuals and organizations; Matching individuals and organizations with other individuals or organizations based on relational compatibility; Social and professional matching and networking services; Providing relational-governance and compatibility-management systems that enable individuals and organizations to interact, connect, and form networks through intelligent coordination and synthesis engines; Facilitating socially governed and compatibility-based introductions between and among organizations and individuals

Computer network architecture in the nature of online non-downloadable software for modeling, predicting, and optimizing relational compatibility among and between individuals and organizations; Computer network architecture in the nature of online non-downloadable software for measuring compatibility signals and predicting relational compatibility using feedback-driven algorithms; Providing online non-downloadable artificial intelligence (AI) software for modeling, predicting, and optimizing relational compatibility among and between individuals and organizations; Software as a service (SAAS) and platform as a service (PAAS) services featuring software for creating and managing networks that predict relational fit among and between individuals and organizations; Design and development of internet-based relational-governance frameworks; Providing online non-downloadable software, namely, an adaptive coordination layer that synthesizes multi-entity relationships, enforces governance rules, and enables interoperability across distributed networks; Research and consultation in artificial intelligence (AI) system design and relational-data synthesis; Providing online non-downloadable artificial-intelligence and machine-learning software frameworks, namely, a coordination layer for adaptive relational modeling, compatibility analysis, and multi-entity data synthesis

Computer network architecture in the nature of downloadable software for modeling, predicting, and optimizing relational compatibility among and between individuals and organizations; Computer network architecture in the nature of downloadable software for measuring compatibility signals and predicting relational compatibility using feedback-driven algorithms; Downloadable artificial intelligence (AI) software for modeling, predicting, and optimizing relational compatibility among and between individuals and organizations; Downloadable machine learning software for creating and managing networks that predict relational fit among and between individuals and organizations; Downloadable software systems for managing interoperability between networked relational entities, namely, individuals, dyads, and organizations represented as digital network profiles

Filing History

APPLICATION FILING RECEIPT MAILED
Nov 11, 2025 MAFR
NEW APPLICATION ENTERED
Nov 11, 2025 NWAP