ServiceAgent vs Sesame

Comparing the features of ServiceAgent to Sesame

Feature
ServiceAgent
Sesame

Capability Features

24/7 Call Answering
Appointment Booking
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Data Insights (Coming Soon)
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Human Routing
Industry Customization
HVACPlumbingElectricalCleaningSolarRoofingGarage Door
Industry-Specific Training
Lead Qualification
Mobile App Access
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Most Human Sounding AI
Multiple Speaker Handling
Multiple Voice Selection
American AccentSpanish Accent
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Polished Branded Experience
Pronunciation Correction
Quick Setup
Resource Center
EventsBlogROI Calculator
ROI Calculator
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Summaries and Transcriptions
Team Size Flexibility
Text and Audio Input
TextAudio
Training Epochs
5
Unlimited Calls

Integration Features

GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Integrations Not Listed
Limited Languages
English (American, Spanish accent)
Memory Bottleneck in Training
No Free Tier
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Credits Trial
$20 credits for free
Free Preview
Open Source
Apache 2.0