Real conversations. Real metrics. Real multilingual performance across production deployments — from a German customs broker to a US-based fintech.
Want to see script-level fidelity — see the Devanagari, Arabic (RTL), and CJK dialog samples →
Building an outbound motion for APAC / MENA / India — see the Devanagari, Arabic (RTL), and CJK outbound dialogs →
Building a multilingual support motion — see the Devanagari, Arabic (RTL), and CJK Tier-1 support dialogs →
Building a multilingual healthcare intake motion — see the Devanagari, Arabic (RTL), and CJK patient-intake dialogs →
Native script: Devanagari · Arabic (RTL) · CJK — hear it live on the demo →
Actual production call handling a customs classification question in real time. The caller switches from German into English mid-form — Parlo handles both halves without losing context.
Actual production call handling a delivery redelivery request from Miami. Mariana switches between Spanish and English mid-sentence — Parlo keeps the order number, address, and timing intact across both.
Actual production call from the front desk of a Parisian boutique hotel. The guest codes between French and English for room preferences — Parlo logs both halves and routes to housekeeping.
Actual production call from an Indian loyalty-program helpline. The caller asks about points and a tier upgrade in Devanagari; Parlo keeps the loyalty ID, point balance, and the upgraded tier name in the user's native script.
Actual production call from a Dubai retail desk. The caller switches between Arabic and English for product names and SKUs; Parlo renders the transcript right-to-left while keeping English-switch tokens in their natural left-to-right order.
Actual production call from a Shenzhen concierge desk. The guest requests a high-floor room in Mandarin; Parlo logs the room type, length of stay, and dietary preference in Hanzi, then hands off to housekeeping without an interpreter.
We have 40% of our inbound calls in Spanish or Portuguese. Before Parlo, those calls went to a queue or got mishandled by our English-only IVR. Now every caller gets a native conversation on the first call. Our CSAT jumped 22 points in the first month.
Our dispatch team handles calls from drivers in 12 countries — most don't speak English as their first language. Parlo handles the whole intake in their native tongue, logs the ticket, and escalates only when it actually needs human review. We cut our dispatch phone costs by 60%.
We were skeptical about AI voice for payment support — our customers are sensitive about billing calls. But Parlo handles disputes, payment updates, and refund requests without any awkward "please hold." Our agents only get calls that actually need them now. Game-changer for our volume.
The number comes from going back through every multilingual voice AI deployment we could find post-launch and counting how many held up on real code-switched calls. Most didn't — and the failure pattern is consistent enough to predict.
Spin up the demo, run a German-to-English handoff, and see what production-grade multilingual voice actually sounds like.
Audit logs, encryption at rest, and RBAC give teams a clear control surface.