Literacka Technologie
Information Technology & Services - Olsztyn, Warmian-Masurian Voivodeship, Poland
Literacka Technologie Employees
Literacka Technologie Details
We provide 𝗕𝗼𝗼𝗸𝗦𝗰𝗼𝘂𝘁.𝗮𝗶AI-based service that pinpoints the best-matching content from around the world for book publishersIn an instant, BookScout.ai will rank thousands of manuscripts or published books, submitted to you or gathered from around the world, and analyse them.▶️ Profile match: receive an alert each time a piece that matches your requirements is discovered.▶️ Market potential: know a book's performance on a foreign market or its estimated revenue and the author's platform before investing your time. ▶️ Readership profile: learn which groups of readers would appreciate the story▶️ Genre and topics: explore the literary genre of the book, its▶️ Emotional profile: discover what emotions the book arouses and how they are distributed throughout the story. ▶️ Language and style: review the quality of the language and the narration. See if it's addictive, charming, informative, etc.Subscribe or learn more 🌐 www.BookScout.ai 📧 kontakt@literacka.com.plSince 2016, Literacka Technology has been a technological partner of book publishers, booksellers, librarians and readers throughout Poland. Additionally, our R&D team cooperates with many research units and universities in Poland.We coordinate and implement research and development for the largest Polish online bookstores and e-book libraries. We also cooperate with the Polish Book Institute and Norwegian Literature Abroad (NORLA) in a joint project called ‘Artificial Intelligence in the Service of Books', which makes it easier for Polish and Norwegian publishers to seek publication opportunities in other countries. We use artificial intelligence (AI) algorithms to estimate the market potential of a book, offer product recommendations, and automate marketing and sales processes in the bookstore industry. We are a leader in the analysis of long texts via AI algorithms. Our algorithms achieve an efficiency of 82–96%. Recognition of literary categories – 2% more accurate than in humans.
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