Financial Services

AI that stays inside
the compliance boundary

Regulated data, kept inside the compliance boundary

What financial institutions deploy

Chat, search and analysis without an exception request.
Seamless Enterprise runs strong open-source models in an environment your team controls, so the capability arrives without the data exposure. For institutions that cannot put anything in a public cloud, the same platform, the same models and the same controls deploy on your side of the boundary.
One place to ask, across Arabic and English internal knowledge.
Retrieval connects to internal document stores, databases and business systems, and answers come from the institution's own knowledge rather than from a general model's memory. Arabic retrieval runs on the Kawn-Embed family and Arabic document parsing on Baseer, which is why it does not fall apart on the Arabic half of the corpus.
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Board minutes transcribed and analysed without leaving the building.
Sada is on-premises meeting intelligence, not a cloud transcription service with an Arabic setting. Audio runs through Arabic speech recognition trained for the task, then a multi-agent layer (a decisions agent, an actions agent, a risk agent, a compliance agent) turns the transcript into something a committee can act on rather than a summary to read.
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Products

Built on Misraj products

The institution's stack is three products and one API: Seamless Enterprise inside the compliance boundary, Baseer Extract for the documents behind every account and transaction, Sada for the meetings that produce the record, and Seamless API for the systems that already exist.

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Built on Kawn models