Bot Scanner, an innovative platform designed to transform the way users interact with and evaluate the responses of multiple large language models (LLMs) 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.
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 (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.”
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.
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.
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.
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 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.
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