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Kasper AI routes live calls, handles conversations, and builds tickets — in your customer's dialect, at conversational latency.
Trusted by operations teams across the region
Every call follows one governed flow — voice, routing, knowledge, and ticketing live inside the same tenant operating model.
Voice and messaging enter through one governed tenant edge. A native audio stream connects the caller directly to the AI.
The Kasper AI voice engine speaks directly — no STT/TTS pipeline. Persona, context, and memory are injected at call time from your tenant.
Summaries, tickets, and escalations get recorded while the conversation is still active.
Operators land on a tenant organized around outcomes, ownership, and follow-up — not raw transcripts.
Voice, messaging, knowledge, tickets, and governance are architected together — not bolted on.
Bidirectional voice streams go straight into the Kasper AI engine. Zero transcription middleware.
Baghdadi vernacular, warmth, laughter, dynamic pitch — built on a production dialect persona.
Average first-token response under 500 ms. Replies feel like a human, not a chatbot.
Pull business hours, customer data, or knowledge cards from your tenant knowledge base on every call.
Each customer operates an isolated tenant. Access, rollout, and policy stay above execution.
Conversations convert to tickets with the tenant metadata already attached. Zero double-entry.
Voice, SMS and chat happen in parallel through a single governed operator — answering, texting, resolving without a queue.
Start with one governed tenant, add operators and channels as you grow.
Bring voice, messaging, knowledge, and tenant governance into one operating layer. Launch in days — not quarters.