Callbook.ai vs Sesame

Comparing the features of Callbook.ai to Sesame

Feature
Callbook.ai
Sesame

Capability Features

24/7 Support
Action Based on Call Results
Advanced Data Security
Automatic Call Handling
Available 24/7
Business Knowledge Customization
Call Data Analysis
Call Transfer
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom Accent Selection
Customer Service Calls
Dataset Size
1 million hours
Demo Scheduling
Emotional Intelligence
Evaluation Suite
Five Times Cheaper Than Call Center
5 times cheaper than a call center
Lead Generation
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
Natural Language Calls
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Personalized Assistance
Pronunciation Correction
Sales Calls
Scenario Behavior Adjustment
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Supported Language List
EnglishSpanishPortuguese
Text and Audio Input
TextAudio
Training Epochs
5

Integration Features

GitHub Release
Integration with Company Tools
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Twilio Number Support
Zoho CRM Integration

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Free Trial
No Pre-trained Language Model Use
No Pricing Plans Listed
Other Phone Number Support
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly
User Authorization Requirement

Pricing Features

Custom Pricing
Custom, based on business model and budget
Free Preview
Open Source
Apache 2.0