Bolna Voice AI vs Sesame

Comparing the features of Bolna Voice AI to Sesame

Feature
Bolna Voice AI
Sesame

Capability Features

24x7 AI Helpline
API Custom Payload
Bulk Calling at Scale
Concurrent Calls Support
250+
Connect Any Model
ASRLLMTTS20+ models
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom API Triggers
Data Privacy & Residency
India / USA specific data residency, on-prep deployment
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Human Agent Escalation
Human-in-the-Loop Labeling
Inbound and Outbound Calls
InboundOutbound
Indian Language Support
HindiHinglishTamilTeluguEnglish10+ Indian and Foreign Languages
Industry Use Cases
EcommerceEdTechHealth TechBFSIHospitality
Integrated Speech and Telephony
Latency
<300ms
Live Call Trigger
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Model Switching
Multi-language Support
Multiple Speaker Handling
Natural Conversation
No-Code Agent Creation
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Prebuilt Templates
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Workflow Integration
n8nMake.comZapierother tools

Integration Features

Developer SDKs
PythonJavaScriptcURL
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Public API
Workflow Automation Integrations
n8nMake.comZapier

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Explicit Quotas or Limits
No File Format Support Listed
No Mention of Free Tier
No Pre-trained Language Model Use
No Public Pricing Listed
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Enterprise Plan Available
Free Preview
Open Source
Apache 2.0