Saltlux's US subsidiary has introduced Goover, a pioneering AI search service launched simultaneously in South Korea and the US. Leveraging a decade of AI research, Goover aims to disrupt the $120 billion search service market by offering unique functionalities compared to established platforms like Perplexity. It employs cutting-edge technologies such as large language models (LLMs) and Graph Augmented Generation (Graph RAG) to deliver enhanced search experiences. With automated knowledge discovery, real-time information retrieval, and the ability to create personalized briefing pages, Goover enables comprehensive and user-friendly search interactions. Designed to revolutionize conventional search engines, Goover not only generates human-like responses to complex queries but also supports social features for collaborative knowledge sharing. This innovative service marks Saltlux's commitment to advancing AI-driven search solutions.
Goover, an advanced AI search service, was launched simultaneously in South Korea and the US on July 3, 2024. This service was developed by the US subsidiary of the South Korean company Saltlux, which has been engaged in AI and generative AI research for a decade. The launch of Goover aims to revolutionize the search service market, currently valued at approximately $120 billion, and positions itself as a competitor to existing platforms like Perplexity. Goover's name, derived from 'Go over', signifies its ambition to provide automated knowledge exploration, akin to autonomous vehicles in its operational concept. The core functionality, dubbed 'Ask Goover', employs large language models (LLMs) and Graph Augmented Generation (Graph RAG) technology, providing users with optimized responses and source references from a wide array of web information.
Saltlux, the parent company of Goover, is a prominent AI firm in South Korea that has dedicated a decade to researching AI and generative AI. This research foundation has paved the way for the spinoff of Goover as a startup targeting the rapidly evolving landscape of AI search technology. The insights gained from extensive research in AI have allowed Goover to integrate advanced features such as real-time information retrieval, deep reporting, and a user-friendly interface. By leveraging the expertise of Saltlux, Goover is positioned to create a sophisticated AI search experience, enhancing user interactivity and knowledge acquisition.
The core technology behind Goover incorporates Large Language Models (LLM) to enhance its search capabilities. This allows Goover to comprehend and generate human-like responses to intricate queries. LLM technology facilitates the rapid retrieval of information and improves the overall efficiency of interaction between users and the search service, ultimately providing a more sophisticated user experience.
Goover utilizes Graph Search Augmented Generation technology, referred to as Graph RAG, which enriches the search process by integrating graphic representations of data. This technology enables Goover to traverse various data sources across the web, compiling information efficiently. It supports the service in delivering tailored answers, including citations of sources, and empowers users to obtain insights from a wide range of digital resources.
The automated knowledge discovery and reporting feature allows Goover to generate in-depth reports based on user-specified topics. Users can establish briefing pages that compile real-time information, news, social media content, and related data in a user-friendly format. Goover's capacity to automatically generate briefings based on extensive online research offers considerable time savings in research processes, enabling users to focus on analysis rather than information gathering.
The Goover service was developed by Saltlux's US subsidiary and was launched on July 3, 2024, simultaneously in South Korea and the USA. Users can access the service by visiting the official website and completing the registration process. After signing up, users can begin utilizing the service immediately.
Goover utilizes its underlying technology, including its proprietary LLM named Lucia2 and Graph Search Augmented Generation (Graph RAG), to provide users with optimized answers to their queries. When a question is entered, Goover initially retrieves a general response along with citations from reference documents. Users can further refine their inquiries and choose deeper answer generation options to access more detailed information.
One of the unique features of Goover is the ability for users to create 'Briefing Pages.' These pages allow users to monitor ongoing topics or themes of interest. Each Briefing Page compiles relevant news articles, social media responses, quotes, and information about related individuals or companies in a card news format. The AI then generates reports based on the collected information, providing users with customized insights.
Goover encourages user engagement by offering social interaction features. Users can subscribe to Briefing Pages created by others that contain similar topics, allowing for the exchange of ideas and insights. Furthermore, users have the capability to share information or their Briefing Pages on social media platforms like Facebook, facilitating conversations and interactions with a broader audience. This socializing platform aspect enhances the user experience, allowing for collaborative knowledge sharing.
Goover has been introduced as a formidable competitor to existing AI search engines, particularly Perplexity. As stated in the report, Goover, developed as a spinoff of Saltlux's decade-long research in artificial intelligence and generative AI, aims to enhance the search experience by providing automated knowledge discovery and features like briefing pages. The service includes a core functionality called 'Ask Goover', which utilizes large language models (LLM) and graph search augmented generation (Graph RAG) to deliver optimized answers and sources from a vast array of web data, including different languages and user-registered subscription services. This innovative approach is designed to revolutionize the search landscape, where traditional keyword-based searches, exemplified by platforms like Google, may be supplanted by advanced conversational searches that can quickly present answers even to complex queries.
The global search service market is projected to be worth approximately $120 billion, which positions Goover to potentially capture a significant market share. Launched simultaneously in the US and South Korea, Goover is strategically entering this expansive market, offering distinct features that could change user expectations and experiences. Given that there is a growing trend of utilizing AI for more interactive and comprehensive search capabilities, Goover's market introduction coincides with high industry anticipation for AI-based solutions to transform traditional search methodologies.
There has been a noticeable shift in user expectations regarding search services, with an increasing demand for AI-driven, conversational interfaces that not only provide answers but also offer nuanced insights and analyses. The report notes that users expect AI search engines to learn from their preferences and deliver personalized content. Features such as Goover's briefing pages, which aggregate relevant news, social media responses, and analytical insights, are indicative of this trend towards more integrated and responsive search environments. The industry's trajectory suggests a move away from simple keyword searches towards more sophisticated, context-aware search experiences.
Goover represents a significant stride in the development of AI-driven search services, positioning itself strongly in a competitive market alongside players like Perplexity. By incorporating advanced AI technologies and unique features, such as automated knowledge discovery and briefing pages, Goover enhances the search experience and addresses growing consumer demands for more interactive, context-aware search capabilities. Developed by Saltlux, Goover has the potential to significantly impact the $120 billion search service market with its tailored responses and comprehensive source citations. Despite being in its beta phase, Goover holds promise for further expansion and refinement based on user feedback and customization opportunities. As the industry shifts towards more complex AI-driven solutions, Goover's introduction signals an evolutionary step in transforming how users access and interact with information online. Future prospects include enriching enterprise solutions and expanding its user engagement features to meet the evolving demands of digital search interactions.
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