mentiqo transforms books into structured, AI-driven formats. Users can read multi-level summaries, switch to synced audio, or generate AI podcasts. Content adapts to different language levels, making it usable for both readers and learners. Highlights, word saving, and personal libraries turn reading into an active system. Users can also upload their own books and process them the same way.
We built mentiqo around a simple problem: reading doesn’t scale.
Most people buy or save books but never finish them. Even when they do, extracting useful knowledge is slow and inconsistent. Existing solutions either oversimplify content or lock it into one format.
mentiqo approaches this differently. Instead of treating books as static text, it converts them into structured, flexible formats. You can read summaries at different depths, switch to audio, generate AI podcasts, highlight insights, and even upload your own books to process them the same way.
The goal wasn’t to build another reading app. It was to build a system where knowledge becomes usable, not just consumable.
The product is still evolving, and this launch is part of validating how people actually use these formats in real scenarios.
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