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National statistics authority
Large volumes of Arabic-language forms and archives needed to be digitized and structured, with manual review creating a growing backlog.
Misraj's document intelligence - Baseer's Arabic OCR and structured extraction, delivered through Baseer Extract - automated extraction from scanned and handwritten Arabic text.
Manual review effort was reduced as extraction moved from manual re-keying to automated structured output.
Global professional services firm
Retrieval-augmented search was needed across Arabic and English internal knowledge bases, and generic embeddings degraded badly on the Arabic content.
Seamless Enterprise's enterprise RAG, backed by the Kawn-Embed family of Arabic-native embeddings, connected the firm's internal knowledge stores.
Search returned relevant results across Arabic content where generic embeddings had previously degraded.
Regulated financial institution
AI capability was needed that never left the institution's compliance boundary.
Seamless Enterprise was deployed on dedicated infrastructure inside the institution's own environment, architected around SDAIA and NCA ECC.
The full private-AI and enterprise-RAG stack now runs entirely inside the institution's compliance boundary.
Pilgrim services platform
Accurate Arabic speech recognition and dialect-aware translation were needed to guide pilgrims at scale.
Misraj's Arabic speech and translation research powers multilingual guidance without losing dialectal nuance.
Guidance now runs across multiple languages while preserving dialectal accuracy at scale.
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