Native Multilingual Intelligence
Break Language Barriers. Scale Locally, Manage Globally.
Native Fluency in English, Hindi, Arabic & Indian Vernacular languages.
Don't let language define your limits. Whether it's building AI Agents that speak Hinglish or analyzing human calls in Arabic, our native NLU engine understands context, code-switching, and sentiment across languages without losing meaning.
20+
Languages Supported
95%
NLU Accuracy
3x
Faster Expansion
NATIVE NLU
Translation Layers Kill Context
Traditional tools force everything into English, losing cultural nuance. See the difference with Native NLU.
Code-Switching
Mixed languages
Fails on 'Hindi-English' mixSentiment
Tone Detection
Translation loses sarcasm/nuance
Fluent in mixed languages like Hinglish
Native detection of regional intent
Core Features
Everything you need to elevate your team
Core Capability: AI Agents
Build Agents That Speak Like Locals
Create AI Agents that don't just translate—they converse. Our agents handle complex code-switching (e.g., "Balance kitna hai, please check?") effortlessly, ensuring your customers feel understood, whether they speak Hindi, Arabic, or Tamil.
Agents automatically detect and switch languages mid-conversation based on user preference.
Understands regional idioms and slang, not just textbook grammar.
Train your agent logic once and deploy it across multiple languages instantly.
Cross-Lingual Analytics
Audit Every Call. Regardless of Language.
Empower your QA team to audit calls they don't understand. ConvoZen transcribes and analyzes vernacular human-to-human conversations, converting them into standardized insights. A manager in London can now audit an Arabic call from Dubai with perfect clarity.
Get precise English summaries for calls in any regional language.
Apply the same QA rubric to Hindi, English, and Arabic agents simultaneously.
Evaluate performance based on resolution logic, not accent or language speed.
Global Intelligence
Standardized Data Across Regions
Stop treating your regional teams as black boxes. Aggregating data from diverse markets into a single dashboard allows you to spot trends across borders.
Compare customer happiness in Mumbai vs. Dubai.
Identify if "Network Issues" is a trending complaint in your Hindi user base specifically.
AI models fine-tuned for specific regional dialects (e.g., Khaleeji vs. Levantine Arabic).
Enterprise Security
Global Scale. Local Compliance.
Deploy confidently across borders. We respect data sovereignty and privacy regulations, ensuring voice data is handled securely regardless of the region.
Options to host regional voice data within specific geographic boundaries.
Automatically redact names and numbers in vernacular languages before storage.
AES-256 encryption for all multilingual transcripts and recordings.
