TalkStack AI vs Sesame

Comparing the features of TalkStack AI to Sesame

Feature
TalkStack AI
Sesame

Capability Features

AI & Human Collaboration
AI Native Call Center Stack
Appointment Booking
Automated Reminders
Automatic Call Recording & Chat Display
Available 24/7
Consistent Personality
Context Awareness
Continuous Learning
Conversational Dynamics
Conversational Speech Generation
Custom Workflows
Dashboard Customization
Dataset Size
1 million hours
Emotional Intelligence
Enterprise-Grade Security
Evaluation Suite
Handle High Volume
Thousands of calls
High Automation Rate
98
Human Agent Escalation
Lead Qualification
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multilingual Support
Over 20 languages
Multiple Speaker Handling
No Code Required
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Omnichannel Support
TextVoiceDigital Messaging
Partial Multilingual Support Planned
Planned for 20+ languages
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Tier 1-2 Support Automation
Training Epochs
5
Visualised Insights
Voice and Text Support
VoiceText
Voice Cloning

Integration Features

GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
WhatsApp Integration

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Pre-trained Language Model Use
No Public Pricing Listed
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Preview
Free Trial
Open Source
Apache 2.0