Uzbek + Russian by design
Support local customer communication without forcing callers into a single language pattern.
Why KAGE
Voice AI built around how Uzbekistan's customers actually speak and seek help.
KAGE is designed for local operating reality: Uzbek and Russian conversations, code-switching, clinic and bank workflows, and deployment choices that match regulated teams.
Built for Uzbekistan
Local fit changes what a voice system needs to handle.
In Tashkent and across Uzbekistan, customer calls often move between Uzbek and Russian, include local service expectations, and require careful routing to the right team. KAGE is shaped around those conditions instead of treating them as edge cases.
Uzbek and Russian support as a first-order requirement
Code-switching patterns common in real customer calls
Clinic and bank workflows that need controlled routing
Deployment conversations that account for local data sensitivity
Language advantage
Designed for bilingual customer conversations, not English-first scripts.
Code-switching support
Handle conversations where a caller naturally mixes Uzbek and Russian while explaining a need.
Approved knowledge boundaries
Answer from reviewed content and route beyond the assistant when a request needs staff judgment.
Platform principles
The difference is operational control, not just automation.
Self-hosted option
Support evaluation paths for organizations that need more control over deployment and data handling.
Human handoff
Make escalation part of the design so sensitive or unclear calls can move to trained staff.
Separated customer data boundaries
Keep organization-specific knowledge and workflows distinct for teams with multiple clients or business units.
Operational clarity
Show teams what the assistant can answer, what it should collect, and where automation should stop.
Evaluate fit
See how KAGE maps to your local call patterns.
Use the demo request to share your language needs, call types, deployment constraints, and handoff rules.