Serial Number
99923899
Owner
Blossom Technologies Inc.Attorney
Matthew FieldFiling Date
Jul 6, 2026
BLOSSOM Trademark
Serial Number: 99923899
Trademark Classes
Owner Contact Info
4000 Ponce de Leon Blvd
Coral Gables, FL 33146
Entity Type: 03
Legal Representation
Correspondence Address
Matthew Field SMITH, GAMBRELL & RUSSELL, LLP
1301 Avenue of the Americas
15th Floor
NEW YORK, NY 10019
United States
Trademark Details
Filing Date
July 6, 2026
Registration Date
Not Registered
Goods & Services
Downloadable software for creating, configuring, deploying, and managing persistent artificial intelligence agents having long-term memory, retained context, and continuous operational identity; downloadable software for monitoring, auditing, supervising, and governing the conduct and operational boundaries of artificial intelligence agents; downloadable software for managing the identity, permissions, and behavioral parameters of autonomous and semi-autonomous software agents.
Software as a service (SaaS) featuring software for creating, configuring, deploying, and managing persistent artificial intelligence agents having long-term memory, retained context, and continuous operational identity across sessions and tasks; software as a service (SaaS) featuring software for storing, organizing, consolidating, and retrieving the memory, interaction history, preferences, and accumulated knowledge of artificial intelligence agents; software as a service (SaaS) featuring software for defining, maintaining, and verifying the identity, permissions, roles, and behavioral parameters of autonomous and semi-autonomous artificial intelligence agents; software as a service (SaaS) featuring software for monitoring, auditing, supervising, and governing the conduct, decision-making, and operational boundaries of artificial intelligence agents, including establishing guardrails, approval workflows, escalation rules, and reversibility controls for agent-initiated actions; software as a service (SaaS) featuring software for orchestrating, routing, selecting, evaluating, and managing multiple artificial intelligence and machine learning models, and for applying safety controls, policy enforcement, and content and output guardrails to artificial intelligence models; software as a service (SaaS) featuring a visual, no-code and low-code development environment for creating, composing, testing, scheduling, publishing, and deploying artificial intelligence-powered workflow automations; software as a service (SaaS) featuring software enabling users to publish, share, and reuse workflow automations and automation templates; software as a service (SaaS) featuring software for developing, training, testing, tuning, comparing, and deploying machine learning models; software as a service (SaaS) featuring software using artificial intelligence for generating, customizing, and deploying data analytics dashboards, reports, and data visualizations; platform as a service (PaaS) featuring application programming interfaces (APIs) for use by developers to build, integrate, and deploy software applications for the financial services industry; data migration services, namely, artificial intelligence-assisted conversion, mapping, and migration of core banking data and financial records between core banking systems and computing platforms; software as a service (SaaS) featuring software for coordinating incentive structures, task allocation, and performance evaluation among multiple artificial intelligence agents.