Dialora.ai vs Sesame

Comparing the features of Dialora.ai to Sesame

Feature
Dialora.ai
Sesame

Capability Features

24/7 Operation
Agency Friendly
Appointment Booking
Auto Sync Data
Call History
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Customizable Call Flow
Data Residency Options
Dataset Size
1 million hours
Emotional Intelligence
Encryption
Evaluation Suite
Inbound and Outbound Calls
Inbound CallsOutbound Calls
Industry Templates
Real EstateHuman ResourcesRetailLegalSales TeamsServices/UtilitiesHospitalityEducationHealthcare
International Availability
Lead Qualification
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multilingual Support
EnglishSpanishFrenchTurkishPortuguese
Multiple Speaker Handling
No Coding Required
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Outbound Campaign Automation
Partial Multilingual Support Planned
Planned for 20+ languages
Penetration Testing
Prebuilt Voice Agents
Pronunciation Correction
Reminders Automation
Role-Based Access Control
Sequence Length
2048
Single Sign-On (SSO)
Single-Stage Model
Spreadsheet Import
Sub Account Support
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Voice Library
Word Document Training

Integration Features

Cal.com Integration
CRM Integrations
Eleven Labs Integration
GitHub Release
Google Calendar Integration
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer

Limitation Features

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

Pricing Features

Free Preview
Free Trial
Open Source
Apache 2.0