A bilingual assistant that answers only from what your team uploaded, with a real citation every time.
A live, looping simulation of the real product, built from its actual interface. Not a recorded video.
Policies, contracts, manuals — PDF, Word, or Markdown, Arabic or English, including scanned pages and complex tables.
Your team asks in plain Arabic or English, the way they’d ask a colleague — no query syntax, no training required.
A grounded answer streams back with the exact document, section, and page behind it — or an honest “not found” instead of a guess.
Every factual answer must come from your documents. If nothing in them addresses the question, it says so plainly instead of inventing something plausible-sounding.
Retrieval is measured against real test questions, including ones that should return nothing at all, before any change goes live — not tuned once and left alone.
Arabic PDFs, scanned pages, and complex tables are handled directly, not run through a generic English-first pipeline with translation bolted on afterward.
An answer’s exact document, section, and page are always attached, so your team can check it in seconds instead of taking it on faith.
Every response names the exact document, section, and page it came from. If nothing in your documents answers the question, it says so instead of guessing.
Arabic and English are both first-class, including right-to-left layout, Arabic-aware document parsing, and answers in whichever language the question was asked.
Every tenant’s data is isolated at the database level, not just the application level, so one team’s documents can never surface in another’s answers.
Answers stream back token by token. Repeated and similar questions are served from a smart cache instead of recomputed, so the more your team uses it, the cheaper and quicker it gets.
See what’s actually being asked, how often, and how well it’s being answered, not a vanity metric.
PDF, Word, and Markdown, including scanned and Arabic-heavy documents, with structured tables kept intact rather than flattened into unreadable text.
We show the slowest 5% next to the typical speed, on purpose — a customer who has sat through a 27-second answer trusts a dashboard that admits it more than one that hides behind a flattering average.
Every panel above is built from a real, verified database query, including the ones a vendor is usually tempted to soften. We report the median response time next to the slowest 5%, not just the flattering average, and we show which of your own documents nobody’s asked about yet. That’s the same standard we hold our own engineering reviews to internally — it doesn’t change for what a customer sees.
An estimate from the numbers you enter above, assuming a chat answer takes about 5 seconds once your documents are loaded — not a guaranteed or measured result. Real savings depend on your own documents and team.
Yes. Every tenant’s data is isolated at the database level, not just the application level — one team’s documents can never surface in another’s answers, even by accident.
It says so plainly instead of guessing. Answers are only ever grounded in your own documents — never the model’s general knowledge.
Yes, natively — Arabic documents, scanned pages, and complex tables are processed directly, not translated after the fact.
Most of what we build, this included, is live within a week of kickoff — no lengthy procurement, no IT project.
Yes — PDF, Word, and Markdown, including scanned and Arabic-heavy documents with tables, as they already exist today.
We’ll set it up around what your team actually needs answered.
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