AI that understands handwriting as movement—not merely as a finished image.
Study stroke trajectory, construction, proportion, and connections to offer calm, timely guidance.
Discover Script Intelligence →Heritage Language AI · NVIDIA Inception Member
Heritage Language Intelligence for a New Generation
Sedrah AI builds research-grade systems that preserve Arabic handwriting and create new ways to explore the Qur’an—combining artificial intelligence, interaction design, and respect for the traditions they serve.
NVIDIA Inception member
One mission, two research frontiers
How Arabic is written. How the Qur’an is explored.
Both initiatives use careful interaction and responsible AI to help a new generation engage more deeply with Arabic heritage.
Tools that help learners see relationships and move from curiosity toward deeper study.
Explore grounded verse evidence, textual relationships, and future scholar-reviewed study paths.
Explore the Qur’an project →Why this work matters
Digital interfaces should lead learners toward depth.
Modern learners navigate complexity by zooming, comparing, tracing relationships, and inspecting evidence. Most Arabic and Qur’anic tools still reproduce pages, keyboards, videos, or search boxes.
The tradition remains the destination. Better interfaces can become the on-ramp.
Move between overview and detail
See a pattern, then return to the Arabic text and its precise reference.
Learn through movement
Understand writing as an embodied sequence—not only a shape judged after the fact.
Ask better questions
Use computational observations to develop meaningful questions for teachers and scholars.
Featured exploration
Mapping relationships among Allah’s Beautiful Names
Each Name forms a point of entry. Connections represent evidence records in which Names occur together; selecting a relationship reveals its Arabic text and verse reference. The integrated computational dataset remains clearly labeled while its source, method, licensing, and review are independently verified.
Product demonstration · Mock data
Guidance that appears at the moment it can help.
This conceptual interaction illustrates the intended learning flow; it is not presented as a live production model.
Concept demonstration
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Capture
The interface records order, trajectory, timing, and pen lifts.
Compare
A learner’s movement is compared with a chosen pedagogical reference—not a universal cultural standard.
Guide
One focused cue appears without obscuring the learner’s own mark.
Research & engineering
Notes from work in progress.
Long-form research, technical decisions, and design questions—the canonical home for ideas shared through our public channels.
Who we work with
Built through careful collaboration.
We welcome research, educational, cultural, and technical partners who share a commitment to depth and responsible practice.
- 01Arabic-language educators and heritage programs
- 02Universities, researchers, and HCI labs
- 03Islamic schools, institutions, and curriculum designers
- 04Museums and cultural organizations
- 05Responsible technology and strategic partners
Our direction
The medium is new. The purpose is timeless.
We are building technology that helps people write with greater care, explore with greater curiosity, and return to Arabic heritage with deeper attention.