BONDINGAI
LIVE

Serial Number

99809769

Owner

Bonding AI

Attorney

Priya Adlakha

First Use Date

Nov 1, 2024

Filing Date

May 7, 2026

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BONDINGAI Trademark

Serial Number: 99809769

BONDINGAI is a trademark filed by Bonding AI on May 7, 2026. The trademark is classified under Class 42 (Computer & Scientific). The application is currently pending registration.

Owner Contact Info

Bonding AI

2428 35th Ave NE
Issaquah, WA 98029

Entity Type: 03

Trademark Details

Filing Date

May 7, 2026

Registration Date

Not Registered

First Use Anywhere

November 1, 2024

First Use in Commerce

November 1, 2024

Goods & Services

Software as a service (SAAS) services featuring software using artificial intelligence (AI) for enterprise automation of business tasks and workflows; deterministic natural language querying of enterprise data repositories, knowledge bases, document corpora, and corporate information systems with full source attribution and traceable reasoning; lead management, lead scoring, and customer acquisition workflow automation; sales process automation and pipeline analysis; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for predictive analytics and business forecasting; anomaly detection in enterprise datasets, transactional systems, and operational data streams; data synthesis and automated generation of business intelligence outputs and reports; automated classification, extraction, and summarization of enterprise documents and structured data; information retrieval from corporate document repositories and knowledge bases; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for autonomous AI agent software for facilitating, automating, and executing employee tasks, business processes, and transactions within customer relationship management and enterprise resource planning systems via secure application programming interfaces; low-code and no-code configuration, deployment, and management of domain-specific artificial intelligence models and agents by non-technical business users in sales, finance, human resources, legal, and operations functions; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for developing, training, and deploying domain-specific enterprise artificial intelligence models and enterprise language models, namely xLLM; secure orchestration, integration, and governance of third-party artificial intelligence models including large language models under unified enterprise guardrails, zero-trust execution policies, and cost controls; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for private, on-premise, hybrid cloud, and cloud-native artificial intelligence deployment and infrastructure services ensuring enterprise data residency, data ownership, and security; real-time business intelligence, dynamic data visualization, and operational decision support powered by artificial intelligence; Software as a service (SAAS) services featuring software using artificial intelligence (AI) for deterministic, explainable, and auditable artificial intelligence architecture and governance services including zero-trust security controls, human-in-the-loop oversight, data privacy enforcement, third-party AI model risk management, and regulatory compliance frameworks designed for financial services, healthcare, insurance, and government sectors.; Artificial intelligence as a service (AIAAS) services featuring software using artificial intelligence (AI) for developing, training, and deploying domain-specific enterprise artificial intelligence models and enterprise language models, namely xLLM; deterministic natural language querying of enterprise data repositories and knowledge bases with full source attribution and traceable reasoning; Artificial intelligence as a service (AIAAS) services featuring software using artificial intelligence (AI) for predictive analytics; anomaly detection in enterprise datasets and operational data streams; data synthesis and automated generation of business intelligence outputs; automated classification, extraction, and summarization of enterprise documents and structured data; lead scoring and sales pipeline analysis; real-time operational decision support;; Artificial intelligence as a service (AIAAS) services featuring software using artificial intelligence (AI) for autonomous execution of business workflows and transactions within customer relationship management and enterprise resource planning systems via secure application programming interfaces; secure orchestration and governance of third-party artificial intelligence models under enterprise guardrails and zero-trust execution policies;; Artificial intelligence as a service (AIAAS) services featuring software using artificial intelligence (AI) for explainable and auditable artificial intelligence reasoning designed to satisfy regulatory compliance requirements applicable to financial services, healthcare, insurance, and government sectors.; Platform as a service (PAAS) featuring computer software platforms for developing, training, and deploying domain-specific enterprise artificial intelligence models and enterprise language models, namely xLLM; integrating enterprise artificial intelligence systems with organizational data sources including document repositories, data lakes, customer relationship management systems, and enterprise resource planning systems via secure application programming interfaces; Platform as a service (PAAS) featuring computer software platforms for configuring and deploying autonomous AI agent infrastructure for executing business tasks, workflows, and transactions across enterprise operational systems; enabling low-code and no-code development, configuration, and management of domain-specific artificial intelligence models and agents by non-technical business users; Platform as a service (PAAS) featuring computer software platforms for orchestrating and governing multiple third-party artificial intelligence models including large language models under unified enterprise guardrails, zero-trust execution policies, and cost controls; deploying private, on-premise, hybrid cloud, and cloud-native artificial intelligence infrastructure ensuring enterprise data residency, data ownership, and security; Platform as a service (PAAS) featuring computer software platforms for providing enterprise AI governance architecture including zero-trust security controls, human-in-the-loop oversight, data privacy enforcement, third-party model risk management, and compliance frameworks designed for financial services, healthcare, insurance, and government environments.

Filing History

NEW APPLICATION ENTERED
May 7, 2026 NWAP
APPLICATION FILING RECEIPT MAILED
May 7, 2026 MAFR