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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Clait — Case studies</title><link>https://clait.it/en/blog/</link><description>Projects and case studies described by Clait.</description><language>en</language><lastBuildDate>Mon, 05 Oct 2026 00:00:00 GMT</lastBuildDate><atom:link href="https://clait.it/en/feed.xml" rel="self" type="application/rss+xml"/><item><title>Real-time license plate recognition with deep learning</title><link>https://clait.it/en/cases/real-time-license-plate-recognition/</link><guid isPermaLink="true">https://clait.it/en/cases/real-time-license-plate-recognition/</guid><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><description>Clait developed a proprietary ALPR (Automatic License Plate Recognition) pipeline that locates the plate, reads its characters and identifies its country in under 200 milliseconds on a standard CPU, with 99.2% accuracy on Italian plates.</description></item><item><title>Querying a database in natural language</title><link>https://clait.it/en/cases/natural-language-databases/</link><guid isPermaLink="true">https://clait.it/en/cases/natural-language-databases/</guid><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><description>Clait built a conversational business intelligence platform: staff type a question in plain language, the system turns it into an optimised SQL query and returns an interactive chart, with no SQL knowledge needed.</description></item><item><title>A RAG-based AI assistant for an e-learning platform</title><link>https://clait.it/en/cases/rag-assistant-e-learning/</link><guid isPermaLink="true">https://clait.it/en/cases/rag-assistant-e-learning/</guid><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><description>Clait built a RAG-based AI assistant for a Moodle e-learning platform: it reads and indexes the courses’ PDF documents and answers learners’ questions only from the courses they are enrolled in, citing document and page.</description></item><item><title>Automating business email with AI</title><link>https://clait.it/en/cases/ai-email-automation/</link><guid isPermaLink="true">https://clait.it/en/cases/ai-email-automation/</guid><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><description>Clait developed an LLM-based AI assistant that analyses every email addressed to staff, answers standard requests from a knowledge base on the company’s services and information, and forwards to staff only the requests that need a specialist.</description></item><item><title>AI agents for company research</title><link>https://clait.it/en/cases/ai-company-research/</link><guid isPermaLink="true">https://clait.it/en/cases/ai-company-research/</guid><pubDate>Mon, 05 Oct 2026 00:00:00 GMT</pubDate><description>Brandy is an internal Clait project: starting from a company’s website, a multi-agent system gathers information from public sources, structures it into a report and drafts strategies and first-contact messages, supporting lead generation and prospecting.</description></item></channel></rss>
