Meeting audio is the most sensitive content an organization produces - board minutes, HR investigations, legal strategy, procurement. Cloud-only meeting tools ask you to send all of it off-premises, and none of them are built for Arabic.
Sada is on-premises meeting intelligence, not "an Arabic Otter." Audio runs through Arabic speech recognition trained specifically for the task, then a multi-agent analysis layer - a decisions agent, an actions agent, a risk agent, a compliance agent - turns the transcript into decisions, actions and risks, not just a summary.
Audio -> Arabic speech-to-text -> multi-agent analysis -> decisions, actions, risks. Deploys on-premises, on private cloud, or via API - on-premises first.
How it works
Audio in
A recorded meeting, captured on hardware you control.
Arabic speech to text
Speech recognition trained for Arabic rather than licensed and adapted to it. When it gets a speaker wrong, the model is ours to fix.
Multi-agent analysis
Four agents read the transcript, each looking for one thing rather than one model producing one summary.
Decisions, actions, risks
What comes out is the record of what the meeting decided and who now owes what, not a paragraph restating the conversation.
Four agents, named
Decisions agent
Separates what was decided from what was merely discussed, which is the distinction minutes exist to make.
Actions agent
Pulls out what somebody now owes, and who.
Risk agent
Surfaces what was raised as a risk instead of leaving it buried in the body of a transcript nobody rereads.
Compliance agent
Reads the meeting against the obligations the organization is under.
Where it runs
On-premises
Board minutes, HR investigations, legal strategy and procurement audio stay on your own hardware. This is the first option, not the enterprise upgrade.
Private cloud
A dedicated environment, where running it on your own hardware is not practical.
API
For teams building meeting intelligence into something of their own.
Security
Data residency
The audio and the transcript live where you put them, and the deployment decides that, not us.
Access control
Who can open which meeting is a decision the organization makes.
Audit
An access trail over the meeting record, because a record nobody can account for is not a record. What is retained, and for how long, is set by the deployment and documented in the Trust Center.
There is no published word error rate for Arabic meeting speech yet. We are building an Arabic meeting-speech benchmark, and the result will be published when it is ready rather than estimated in the meantime. Meeting audio is a harder problem than read speech, and a number borrowed from an easier benchmark would not tell you anything about your meetings.
Solutions
Let's talk about what you're trying to build.
Tell us the problem. We'll tell you honestly whether AI is the right answer.