Orbit vs. Quantum for Voice AI
Orbit is built for speed. Quantum is built for developers and enterprises who need:
- Full control over prompts and business logic
- Independent provider selection for STT, LLM, and TTS
- Better handling of Indian languages and code-mixed speech
- 40% better entity capture accuracy for enterprise use cases
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Language Flexibility & Provider Control
LANGUAGE FLEXIBILITY
Better Language Flexibility, Complete Provider Control
Quantum Model is optimized for enterprise use cases requiring multilingual and code-mixed conversations. With independent provider selection for STT, LLM, and TTS, you can choose the best-in-class solution for each component—something Orbit's single-provider architecture cannot offer.
TEXT VISIBILITY & CONTROL
Complete Visibility and Control Over Every Conversation
Unlike Orbit's black-box end-to-end approach, Quantum exposes the text layer between processing stages. This visibility is crucial for enterprise applications that need sophisticated business logic, compliance monitoring, and real-time conversation management.
ENTITY CAPTURE & DATA HANDLING
Enterprise-Grade Data Capture That Actually Works
Quantum Model excels at capturing and validating structured data critical for applications in banking, insurance, healthcare, and customer support. While Orbit offers limited entity recognition, Quantum provides configurable, accurate capture of complex data types.
Entity Capture and Data Handling
DEBUGGING & ANALYTICS
Advanced Debugging & Analytics for Production Confidence
While Orbit provides limited visibility into system performance, Quantum delivers comprehensive observability at every stage of the conversation pipeline. Monitor, debug, and optimize each component independently.
USE CASE GUIDANCE
Choose the Right Architecture for Your Needs
Not sure which model fits your use case? Here's a detailed breakdown to help you decide.
When to Use Orbit Model
Best Suited For:
- Simple Voice Interactions: Greeting and welcome bots, basic IVR menus, call routing systems, short question-answer flows, and voice-activated simple commands
- Quick Deployment Scenarios: Fast setup with minimal configuration, low latency for simple interactions, and all-in-one solution with single provider
- Straightforward Use Cases: Simple confirmations like "Press 1 for sales, 2 for support", basic account inquiries, balance checks, and yes/no responses
- Ideal For: Startups needing quick voice implementation, simple use cases with limited requirements, projects with tight timelines, and non-critical applications
When to Use Quantum Model
Best Suited For:
- Complex Customer Support: Multi-turn conversations with context-aware responses, escalation handling, personalized interactions, and dynamic conversation flows
- Data Capture & Verification: Customer onboarding, voice-based form filling, identity verification, payment processing, and address collection
- Enterprise Applications: Banking and financial services, insurance claim processing, healthcare patient intake, technical support, and sales qualification
- Multilingual & Code-Mixed:Hinglish (Hindi + English), Tanglish (Tamil + English), other Indian language combinations, regional dialects, and multi-language conversations
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