Religious Quotation Verification Platform
A platform that checks text before it is published, matching every verse or hadith letter by letter against licensed sources and showing the difference with its source.
Case studyAgents and assistants that work on your data, with human approval before any important action.
AI is useful when it is built with clear limits. Our rule: the model proposes, the system decides. Sensitive decisions go through deterministic rules or human approval, and the model never has the authority to act alone.
We build assistants that use your organisation's tools and check their own results, systems that answer from your documents with sources, and MCP servers that let AI assistants work inside your systems without exposing your data.
They plan, execute and verify using your tools, with an Arabic interface.
Natural-language questions, sourced answers and per-user permissions.
Systems that check text against authoritative sources, where fixed rules decide, not the model.
MCP servers and secure interfaces that work with the major models.
Turning files into structured data and questions, with review before approval.
Stops a verse or hadith being published with wrong wording before it reaches people.
Handles repetitive tasks with your organisation's tools and checks its own results.
Staff get answers from your organisation's files instead of searching by hand.
Saves hours of manually copying data and questions.
Use AI assistants inside your systems without exposing your data.
Models can be wrong, so we never leave the decision to them alone. Sensitive decisions sit in fixed rules or human approval, and every action is logged.
We agree with you up front where data is processed and which model is used, and design the integration so the model only sees what it needs.
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Tell us what you need in two lines and we will reply with the next step.
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