CallMate turns every outbound call into an intelligent business interaction. It speaks naturally across multiple languages, understands customer intent in real time, and takes action, from qualifying leads and booking appointments to answering queries, managing complaints and transferring calls to the right representative.
Built for scale, it combines LLM reasoning, real-time speech recognition and synthesis, RAG-powered knowledge, conversation memory and autonomous tool execution in one end-to-end voice AI system.
CallMate places the outbound call and speaks in the customer's language.
Natural and interruption-aware, with barge-in handled and context kept.
Intent is recognised in real time; answers come from verified information.
Bookings and requests are actioned, and the outcome lands on the dashboard.
A call that needs a person is transferred to the right representative.
Natural, human-like conversation across languages.
98% accuracy in testing, while the customer is still talking.
Customers can interrupt, and the conversation keeps up.
Bookings, support requests and call transfers, done on the call.
Context carried through, so every interaction stays consistent.
RAG over verified business information, not a model's guess.
An architecture built for large-scale calling operations.
Campaigns, customers, calls and outcomes, managed in one place.
CallMate runs on six of the capabilities every AI Brigade system is built from, chained in the order it uses them.
Multilingual voice and speech, across phone, web and mobile
Intent, documents and enterprise knowledge
Models, rules and business context together
APIs, applications and workflows
Voice, web, mobile and outbound
Human-in-the-loop wherever judgement is required
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Every demo, in every language it ships in.
See every demo