Wishpond Advances IP Portfolio with Patent Filing for Self-Testing Technology
Wishpond Technologies (OTCQX: WPNDF) has filed its fourth patent application for innovative Self-Testing technology designed to enhance its AI-driven marketing solutions. The technology enables virtual AI agents to undergo comprehensive pre-engagement simulations before interacting with real users.
The Self-Testing feature, which is already implemented in Wishpond's SalesCloser AI platform, utilizes a 'Fake User' system powered by large language models to simulate authentic user interactions. This advancement is part of Wishpond's strategic patent portfolio, which includes technologies for natural voice synthesis, conversation management, and seamless AI-to-human transitions.
Wishpond Technologies (OTCQX: WPNDF) ha depositato la sua quarta domanda di brevetto per una innovativa tecnologia di Autotesting progettata per potenziare le sue soluzioni di marketing guidate dall'IA. La tecnologia permette agli agenti virtuali pilotati dall'IA di effettuare simulazioni complete prima di interagire con utenti reali.
La funzionalità di Autotesting, già integrata nella piattaforma SalesCloser AI di Wishpond, utilizza un sistema di 'Fake User' basato su grandi modelli linguistici per riprodurre interazioni utente realistiche. Questo sviluppo fa parte del portafoglio strategico di brevetti di Wishpond, che include tecnologie per la sintesi vocale naturale, la gestione delle conversazioni e transizioni fluide da IA a operatore umano.
Wishpond Technologies (OTCQX: WPNDF) ha presentado su cuarta solicitud de patente para una innovadora tecnología de Autoevaluación diseñada para mejorar sus soluciones de marketing impulsadas por IA. La tecnología permite que agentes virtuales con IA realicen simulaciones exhaustivas antes de interactuar con usuarios reales.
La función de Autoevaluación, que ya está implementada en la plataforma SalesCloser AI de Wishpond, emplea un sistema de 'Fake User' potenciado por grandes modelos de lenguaje para recrear interacciones de usuario auténticas. Este avance forma parte del portafolio estratégico de patentes de Wishpond, que incluye tecnologías para síntesis de voz natural, gestión de conversaciones y transiciones fluidas de IA a humano.
Wishpond Technologies (OTCQX: WPNDF)는 AI 기반 마케팅 솔루션을 강화하기 위해 설계된 혁신적인 자체 테스트(Self-Testing) 기술에 대해 네 번째 특허 출원을 제출했습니다. 이 기술은 가상 AI 에이전트가 실제 사용자와 상호작용하기 전에 종합적인 사전 시뮬레이션을 수행할 수 있도록 합니다.
이미 Wishpond의 SalesCloser AI 플랫폼에 구현된 Self-Testing 기능은 대형 언어 모델로 구동되는 'Fake User' 시스템을 활용해 실제와 유사한 사용자 상호작용을 시뮬레이션합니다. 이 발전은 자연스러운 음성 합성, 대화 관리, AI에서 인간으로의 매끄러운 전환 기술을 포함하는 Wishpond의 전략적 특허 포트폴리오의 일부입니다.
Wishpond Technologies (OTCQX: WPNDF) a déposé sa quatrième demande de brevet pour une technologie d'Auto-Test innovante conçue pour améliorer ses solutions marketing pilotées par l'IA. Cette technologie permet aux agents virtuels IA d'effectuer des simulations complètes avant d'interagir avec de vrais utilisateurs.
La fonctionnalité d'Auto-Test, déjà intégrée à la plateforme SalesCloser AI de Wishpond, utilise un système de 'Fake User' propulsé par de grands modèles de langage pour simuler des interactions utilisateurs authentiques. Cette avancée fait partie du portefeuille stratégique de brevets de Wishpond, qui comprend des technologies de synthèse vocale naturelle, de gestion des conversations et de transitions fluides de l'IA vers l'humain.
Wishpond Technologies (OTCQX: WPNDF) hat seine vierte Patentanmeldung für eine innovative Self-Testing-Technologie eingereicht, die darauf abzielt, seine KI-gestützten Marketinglösungen zu verbessern. Die Technologie ermöglicht es virtuellen KI-Agenten, umfassende Vorab-Simulationen durchzuführen, bevor sie mit realen Nutzern interagieren.
Die Self-Testing-Funktion, die bereits in Wishponds SalesCloser AI-Plattform implementiert ist, nutzt ein von großen Sprachmodellen betriebenes 'Fake User'-System, um authentische Nutzerinteraktionen zu simulieren. Dieser Fortschritt ist Teil des strategischen Patentportfolios von Wishpond, das Technologien für natürliche Sprachsynthese, Gesprächssteuerung und nahtlose Übergänge von KI zu menschlichen Agenten umfasst.
- Fourth patent application filed, demonstrating strong focus on IP protection and innovation
- Self-Testing technology already implemented in SalesCloser AI platform
- Strategic patent portfolio development strengthens competitive advantage in AI-driven sales automation
- Technology enables more reliable and accurate AI-customer interactions through pre-engagement testing
- None.
- Wishpond files patent application for its new self-testing technology that strengthens its virtual AI agents with rigorous pre-engagement simulations, bringing more human-like accuracy and reliability to customer interactions.
- This is the fourth patent application Wishpond has filed, reinforcing its leadership in AI-driven marketing technology. The Self-Testing technology is already being used with Wishpond's SalesCloser AI.
- Wishpond is developing a strategic patent portfolio to allow its AI sales agents to function more like humans, strengthening its competitive moat with advanced conversation management, seamless AI-to-human transitions, and enhanced reliability in AI-driven sales automation.
Ali Tajskandar, CEO of Wishpond, commented, "The Self-Testing technology represents a leap forward in how AI can be prepared and refined for real-world use. By enabling our virtual AI agents to undergo rigorous pre-engagement testing, we're ensuring every interaction is contextually relevant and accurate from the very first moment. This advancement, combined with our broader patent strategy, brings our AI sales agents closer to functioning like humans, thereby delivering more natural conversations, smoother AI-to-human handoffs, and improving reliability. Our portfolio of patent applications reflects our commitment in protecting our intellectual property while also continuing to provide our clients with dependable and efficient AI-driven solutions."
Wishpond's Self-Testing feature is a meaningful advancement in the precision and reliability of AI interactions. Before engaging with actual users, the virtual AI agent undergoes rigorous simulations, including using a 'Fake User', which leverages a large language model to simulate authentic user interactions. This system tests the AI across a wide range of conversational scenarios, ensuring that responses are accurate and contextually appropriate. The process involves comprehensive testing of the AI's text-based, visual, and auditory outputs, ensuring its readiness for live interaction. This thorough pre-engagement preparation is engineered to deliver an optimal customer experience right from the first interaction. The iterative process ensures that the AI achieves optimal performance before engaging with real users, enhancing the overall customer experience and reinforcing trust in automated solutions.
Wishpond is already using its Self-Testing technology with the Company's SalesCloser AI agent for sales calls and demos. By incorporating Self-Testing, Wishpond advances its platform's capabilities, ensuring dependable sales interactions and strengthening its position in the technology landscape.
Wishpond is developing a strategic patent portfolio to make its AI sales agents function more like humans, strengthening its competitive moat. The Virtual AI Representative patent leverages advanced language models and deep learning for natural voice synthesis, enabling more human-like interactions. The Company's Enhanced State Manager ensures AI agents can manage complex conversations, handle interruptions, and maintain context, improving engagement quality. Wishpond's Human Takeover Technology facilitates seamless AI-to-human transitions, ensuring smooth escalation when needed. Additionally, the Company's Self-Testing technology now allows AI agents to undergo rigorous simulations before interacting with customers, enhancing accuracy and reliability. Together, these innovations position Wishpond as a prominent figure in AI-driven sales automation.
Ali Tajskandar
Chief Executive Officer
Wishpond Technologies Ltd.
About Wishpond Technologies Ltd.
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