StoriAI

The Narrato.io website is a platform for creating content using artificial intelligence technologies. Narrato.io offers automated text content generation capabilities, which includes the creation of articles, blogs, product descriptions and other types of content. The site provides tools for customizing the parameters of the content you create, including writing style, keywords, and subject matter. The platform uses machine learning algorithms to generate unique and high-quality text, which allows users to save time on creating and editing content. Narrato.io is suitable for both individual authors and companies that need to regularly update their online resources and blogs with high-quality content. The platform helps optimize content creation processes, increasing its efficiency and alignment with business goals.

We believe everyone in retail deserves an assistant. Profitmind works 24/7 to provide recommendations that map to your business strategy. The easy-to-use software tracks competitors, analyzes your internal data, and surfaces growth opportunities. The result: Increased productivity, transparency, and profit.

Metabob is a code refactoring and debugging tool that utilizes proprietary graph neural networks to detect problems and LLMs to explain and resolve them.   Metabob's Graph Neural Networks (GNNs) utilize an attention mechanism to comprehend both semantic & relational markers, resulting in a more complete representation of the input. Our Large Language Models (LLMs, such as GPT) are deep learning models that use billions of parameters & an attention mechanism to predict the most likely token to follow a given input.   Debug faster by automatically generated code fix recommendations and enforce code quality and best practices with Metabob’s refactoring recommendations.   Metabob’s ability to analyze complete code bases allows it to generate context-sensitive code recommendations for found bugs and code smells. Metabob enforces code quality and best practices by offering refactoring recommendations for areas with messy and ineffective code, ultimately reducing the creation of technical debt and optimizing LOC performance.