Sesame vs Simple AI

Comparing the features of Sesame to Simple AI

Feature
Sesame
Simple AI

Capability Features

AES-256 Encryption
Available 24/7
Concurrent Call Handling
Consistent Personality
Context Awareness
Conversation Analysis
Key Insights ExtractionStructured DataSentiment Analysis
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Dynamic Data Substitution
Emotional Intelligence
Empathetic Conversation Handling
Enterprise-ready Phone Agents
Evaluation Suite
HIPAA Compliance
Human-Like Conversation
iOS App Availability
iOS
Knowledge Base Integration
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multilingual Support
29
Multiple Speaker Handling
Navigate Through IVR
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Post-call Automation
CRM ToolsEmailsOther Tasks
Pronunciation Correction
Scheduled Campaigns
Sequence Length
2048
Single-Stage Model
SOC 2 Compliance
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Warm Call Transfer
Workflow Triggers
CRMAPIScheduled Campaigns

Integration Features

API Integrations
CRM Integrations
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer

Limitation Features

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

Pricing Features

Free Preview
Has Free Tier
Open Source
Apache 2.0