Platform
AI where it earns its place.
Nowhere it doesn't.
Lisan is AI-native without being AI-theater: assistants live inside the work, humans approve what changes, and open APIs plus MCP mean your own agents are first-class citizens too.
Assistants in context
NoteX proposes edits you approve with a diff preview, WriteX explains every correction, MeetriX writes the minutes. AI lives where the work is, not in a separate chat tab.
Open to your agents
A Notion-style REST API and an MCP server let Claude, Cursor, or any agent read and write your knowledge base with scoped keys. Your AI works inside Lisan, and Lisan works inside your AI.
Models where they matter
In-house speech and language models carry the Arabic-critical paths (transcription, proofreading, translation), and leading commercial models plug in where they are the right tool.
You approve, AI proposes
Across the platform, AI suggests and humans decide: proposed edits, draft minutes, and extracted data all wait for your click before anything changes.
AI-readable by design
Notes as structured files use a fraction of the AI context a PDF burns, so agents read more of your knowledge and answer better. Formats were chosen with AI readers in mind.
Governed, not improvised
Bring-your-own AI accounts on desktop add-ons, curated extension allow-lists, and admin control over what AI can touch. Enterprise AI without the shadow-IT problem.
Frequently asked questions
Which AI models does Lisan use?
In-house models carry the Arabic-critical paths like transcription, proofreading, and translation. For assistant features, products integrate leading commercial models, and desktop add-ons let you bring your own AI accounts.
Can our own AI agents use Lisan?
Yes. NoteX exposes a Notion-style REST API with scoped keys and an MCP server, so any MCP client can search, read, and write your knowledge base under your control. See NoteX.
Does AI change our data without asking?
No. The pattern across the platform is propose-then-approve: AI drafts, suggests, and extracts, and a human clicks before anything is applied.
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