Canopy Labs vs Coval

Comparing the features of Canopy Labs to Coval

Feature
Canopy Labs
Coval

Capability Features

Audio Inputs
Audio Replay
Built-in Metrics
latencyaccuracytool-call effectivenessinstruction compliance
Custom Environments
Custom Metrics
Demo Availability
Emotion Tags
normalslowcryingsleepysighchuckle
Fully Customizable Voice
Guided Emotion and Intonation
Handles Disfluencies
Human-in-the-Loop
Input Streaming for Lower Latency
Llama Architecture
Llama
LLM-based Customizability
Model Tokenizer Type
Non-streaming (CNN-based) tokenizer
Open Source Release Planned
Orpheus Speech Models
Medium (3B)Small (1B)Tiny (400M)Nano (150M)
Performance Alerts
Pretrained and Finetuned Models
Pretrained modelsFinetuned models
Production Call Monitoring
Prompt Change Re-simulation
Realtime Streaming
Regression Tracking
Sample Finetuning Scripts
Scenario-Based Testing
Simulate Conversations
Sliding Window Detokenizer
Streaming Alerts
Streaming Inference Speed
Faster than playback on A100 40GB for 3B model
Text Chat Compatible
Text to Speech
Training Data Volume
100k+ hours of speech, billions of text tokens
Transcripts as Input
Voice AI Features
Workflow Tracing
Workflow-Based Simulation
Zero-Shot Voice Cloning

Integration Features

Baseten 1-Click Deployment
Developer-Focused Integrations
GitHub Repository Access
Google Colab Notebook
Hugging Face Model Access
LLama Ecosystem Support
Python Package for Streaming

Limitation Features

English Language Only
No API Mentioned
No Explicit Pricing Details
No Mention of File Format Support
No Mentioned Integrations
No Pricing Information

Pricing Features

Free Trial/Demo