{"id":146186,"date":"2025-06-04T08:00:00","date_gmt":"2025-06-04T06:00:00","guid":{"rendered":"https:\/\/www.startupbusiness.it\/?p=146186"},"modified":"2025-06-03T20:43:50","modified_gmt":"2025-06-03T18:43:50","slug":"artificial-intelligence-bot-scanner-interrogates-over-40-llm-simultaneously","status":"publish","type":"post","link":"https:\/\/www.startupbusiness.it\/en\/artificial-intelligence-bot-scanner-interrogates-over-40-llm-simultaneously\/146186\/","title":{"rendered":"Artificial intelligence, Bot Scanner interrogates over 40 LLM simultaneously"},"content":{"rendered":"\n

Bot Scanner, an innovative platform designed to transform the way users interact with and evaluate the responses of multiple large language models (LLMs) <\/strong>is now a reality, allowing users to sift through numerous LLM outputs by providing a simplified solution: users can select a group of response LLMs and a group of classification LLMs, from more than 40 available, to receive responses automatically classified according to quality, clarity and relevance.<\/p>\n\n

The rapid proliferation of LLM-based artificial intelligence, with new models released almost daily, makes it increasingly difficult to choose the right one for a given use case. Both professionals and consumers often spend valuable time manually comparing different texts generated by artificial intelligence. Bot Scanner eliminates this inefficiency: ‘We are entering a new phase in the development of AI, the so-called agentic era, with applications capable of articulating increasingly complex and sophisticated processes to meet the needs of users,’ Peter Kruger, founder of Bot Scanner<\/strong> (pictured), tells Startupbusiness. ‘Our vision is that these new agents will increasingly rely on the use of multiple underlying LLM models, and that the ability to evaluate in real-time which model is the best for each task will become increasingly relevant. With our release today, we want to give users a first taste of the benefits of this approach.” <\/p>\n\n

Bot Scanner offers users the following: the ability to query multiple LLMs simultaneously: send a single question to a user-selected group of LLMs; exploit AI for classification: choose a separate group of LLMs to classify the generated answers based on a holistic assessment of quality, including clarity, relevance, accuracy and depth; obtain clear and classified results: obtain a simple 1 to 5 rating for each answer, making it easy to immediately identify the most suitable answer; save time and effort: significantly reduce the manual effort required to compare LLM model results.<\/p>\n\n

Making informed decisions, according to Kruger needs to overcome guesswork about LLM models and Bot Scanner immediately offers a clear classification based on artificial intelligence, the platform is designed for a wide range of users, including AI researchers, developers, content creators, marketers and data scientists who need to efficiently evaluate and utilise LLM-generated content.<\/strong><\/p>\n\n

As of today, it is possible to register on the Bot Scanner platform and obtain a $3 credit to start using the service immediately. To do so, one needs to apply for an invitation code, which at this early stage has been chosen as a procedure to enable one to test the platform’s ability to deliver all functionalities effectively. <\/p>\n\n

Bot Scanner is developed by eZecute, an Italian start-up builder and advisor, and is based on the evaluation methodology underlying AutoBench, which is the open source benchmarking system that eZecute developed with the collaboration of Marco Trombetti’s Translated <\/strong>and which uses LLMs to collectively evaluate other LLMs for corporate and large-scale use. In contrast, Bot Scanner is designed for everyday consumers, offering instant evaluation of LLM responses. It is crucial to be aware that Bot Scanner is not a benchmarking system and that all user-generated data remains strictly personal and is not used for any benchmarking, including that of AutoBench. <\/p>\n","protected":false},"excerpt":{"rendered":"

The platform was developed by Italian start-up eZecute and is based on the open source AutoBench system<\/p>\n","protected":false},"author":125,"featured_media":146180,"comment_status":"closed","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1325],"tags":[1324,1137,1136],"companies":[2711],"journalist":[1518],"class_list":["post-146186","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-italian-startups","tag-artificial-intelligence-en","tag-italy-en","tag-startup-en-2","companies-bot-scanner-en","journalist-editorial-staff-en"],"featured_sizes_urls":{"thumbnail":{"src":"https:\/\/www.startupbusiness.it\/wp-content\/uploads\/2025\/06\/Peter-Kruger.webp","width":150,"height":150,"crop":false,"srcset":false,"alt":"llm intelligenza 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