Bolna Voice AI vs Canopy Labs

Comparing the features of Bolna Voice AI to Canopy Labs

Feature
Bolna Voice AI
Canopy Labs

Capability Features

24x7 AI Helpline
API Custom Payload
Bulk Calling at Scale
Concurrent Calls Support
250+
Connect Any Model
ASRLLMTTS20+ models
Custom API Triggers
Data Privacy & Residency
India / USA specific data residency, on-prep deployment
Demo Availability
Emotion Tags
normalslowcryingsleepysighchuckle
Guided Emotion and Intonation
Handles Disfluencies
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
Input Streaming for Lower Latency
Integrated Speech and Telephony
Latency
<300ms
Live Call Trigger
Llama Architecture
Llama
LLM-based Customizability
Model Switching
Model Tokenizer Type
Non-streaming (CNN-based) tokenizer
Multi-language Support
Natural Conversation
No-Code Agent Creation
Open Source Release Planned
Orpheus Speech Models
Medium (3B)Small (1B)Tiny (400M)Nano (150M)
Prebuilt Templates
Pretrained and Finetuned Models
Pretrained modelsFinetuned models
Realtime Streaming
Sample Finetuning Scripts
Sliding Window Detokenizer
Streaming Inference Speed
Faster than playback on A100 40GB for 3B model
Text to Speech
Training Data Volume
100k+ hours of speech, billions of text tokens
Workflow Integration
n8nMake.comZapierother tools
Zero-Shot Voice Cloning

Integration Features

Baseten 1-Click Deployment
Developer SDKs
PythonJavaScriptcURL
GitHub Repository Access
Google Colab Notebook
Hugging Face Model Access
LLama Ecosystem Support
Public API
Python Package for Streaming
Workflow Automation Integrations
n8nMake.comZapier

Limitation Features

English Language Only
No API Mentioned
No Explicit Pricing Details
No Explicit Quotas or Limits
No File Format Support Listed
No Mention of File Format Support
No Mention of Free Tier
No Public Pricing Listed

Pricing Features

Enterprise Plan Available