Case study
Eqrra Qur'an : An Intelligent Learning Experience and a Unified Development Architecture
Eqrra Qur'an : An Intelligent Learning Experience and a Unified Development Architecture
Islamic Institutions
Islamic sources,
searched and recited at scholarly depth
Scholarly-grade retrieval and phoneme-level recitation
What Islamic institutions deploy
The Quran, Hadith, Tafseer and fatwa collections searched as one corpus.
Search runs on Kawn Lab's Islamic embedding model, so a query is resolved by meaning and religious context rather than by keyword. The Quran, authenticated Hadith, Tafseer commentary and Islamic Q&A datasets are searchable together instead of four times over.
Explore Qurani.aiTajweed errors caught at the level a teacher catches them.
Nabr is an acoustic model built for Tilawa rather than a general speech model pointed at it. It analyses eight acoustic properties per sound to catch elongation, nasal resonance, letter bounce and heavy versus light pronunciation, works on live audio so feedback arrives while the reciter is still reciting, and was trained on recordings kept in their natural acoustic conditions rather than studio-clean ones.
Explore TbyaanA jurisprudential question turned into a sourced outline.
Tbyaan's research agent synthesises the relevant evidence, builds an outline and drafts from classical sources instead of returning a list of links. It does not replace the scholar; it removes the cross-referencing that used to consume the time analysis needed.
Explore Qurani.ai
Products
Built on Misraj products
Qurani.ai for recitation feedback and Tbyaan for retrieval over the corpus, each built on the same Kawn models and deployable where the institution decides.
Built on Kawn models
Resources
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