Sesame vs Goodcall

Comparing the features of Sesame to Goodcall

Feature
Sesame
Goodcall

Capability Features

Appointment Scheduling
Automated Lead Updating
Call Analytics
Call Transfer
Business lineSpecific personDepartmentTake messageSelf-service linkSchedule callback
Conditional Call Forwarding Support
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom Agent Skills and Flows
Customizable Agent Behavior
Dataset Size
1 million hours
Dedicated AI Phone Number
Emotional Intelligence
Evaluation Suite
HIPAA Compliance
Human Review and Automated Checks
Lead Capture via Multiple Channels
SMSemailGoogle SheetsCRM
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
No Engineering Dependencies
No Engineering Required
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Operator Workflow for Escalation
Partial Multilingual Support Planned
Planned for 20+ languages
Personalized Caller Greetings
Pronunciation Correction
Self-Service Setup
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Supports Both SMB and Enterprise
Text and Audio Input
TextAudio
Training Epochs
5

Integration Features

Boulevard Integration
Calendar Integrations
CRM Integration
Database Integration
GitHub Release
Google Sheets Integration
High Level Integration
LLama Architecture Backbone
Microsoft Dynamics Integration
Microsoft Teams Integration
Mimi Split-RVQ Tokenizer
Service Titan Integration
Zapier Supported Apps

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No Feature Gating
No Free Tier
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Preview
Free Trial Package
Open Source
Apache 2.0