ZYPHER (Class 42)

The trademark application number 6577646 is owned by M/S. YAVAR TECH WORKS PRIVATE LIMITED.

Trademark application number 6577646 is filed under Class 42, which relates to the specified goods and services.

The trademark agent associated with application number 6577646 is NITHYAVENDHAN KARUNANIDHI.

Yes, trademark application number 6577646 was published in Journal No. 2254.

Trademark application number 6577646 relates to "Offering software solutions for both downloadable and non-downloadable applications and platforms that utilize various language models, machine learning (ML) and deep learning (DL) algorithms, natural language processing (NLP), natural language understanding (NLU), neural networks, text-to-speech (TTS), speech-to-text (STT), and multilingual voice models; this includes voice training, explainable AI rules, computer vision, and vision-based solutions for analyzing, classifying, and responding to data; we provide software for dataset sharing for machine learning, predictive analytics, and language model development; our solutions also include conversational AI chatbots and agents with multilingual, sentiment-driven decision-making and automated responses; additionally, we offer API software for system integration and software for deploying AI algorithms on edge devices, including real-time data processing, analytics, and remote monitoring; providing software for generating and creating images from text, images, webcams, and other sources; this includes image recognition, classification, object detection, and tracking in images and videos, as well as facial recognition and biometric analysis; our offerings also encompass visual content generation using AI, optical character recognition (OCR and ICR), integration of vision language models (LLMs) into multimodal AI systems, enhancement of image and video analysis through vision LLMs, real-time computer vision processing on edge devices, and the development and deployment of vision-based AI models in IoT devices; delivering software for managing and automating machine learning workflows (MLOps), continuous integration and deployment (CI/CD) of AI models, and monitoring and maintaining AI models in production environments; this includes version control and tracking of ML models, automating data preprocessing and feature engineering, monitoring model performance and drift detection, and ensuring AI model governance with audit trails and accountability; we also focus on implementing AI guardrails for ethical AI usage, compliance with data privacy regulations, bias detection and mitigation, AI model explainability, transparency, and ensuring regulatory compliance in AI- driven decision-making.".