The shape of a SWARM
Decompose
The Synthesiser decomposes the task and dispatches the right domain agents.
Answer, with evidence
Each domain agent, calibrated to its slice, returns its findings with sources and a confidence level.
Reconcile
The Synthesiser weighs the evidence, reconciles conflicts, and presents one answer that shows its work.
Why it beats one model alone
A single model answering a compound question has to be right about everything at once, and its mistakes are invisible. Specialised agents fail loudly and locally: when the telemetry agent's evidence contradicts the input, the system can say so.
A SWARM challenges what it is told when the data disagrees, instead of confirming it. That is the line between an assistant and a colleague.
Where it runs
The SWARM is the spine under our AI decision support: agents watch the data continuously, surface the decision that needs making, explain the why with sources and confidence, and trigger the next action on approval.
It runs grounded, in your environment, multilingual including Arabic with full RTL. The architecture is the same whether the domain is care operations, connected devices, or a revenue pipeline.