Models Overview

Models Overview

SAGEA offers a comprehensive suite of AI models designed for different use cases and performance requirements. Our platform includes voice synthesis models (VORA) and language models (SAGE).

VORA™ Voice Synthesis Models

VORA leverages a highly optimized hybrid attention-convolutional architecture that dramatically reduces inference latency while preserving voice fidelity, expressiveness, and personality.

VORA-V1 (High-Fidelity)

• Best for: Production applications, media content, accessibility tools
• Languages: 30+ languages with native-like pronunciation
• Latency: Real-time generation with emotional control
• Quality: Studio-grade audio quality with emotional expression
• Features: Voice cloning, watermarking, advanced emotion control

VORA-L1 (Lightweight)

• Best for: Mobile apps, IoT devices, edge deployment
• Performance: 6× faster inference, 50% smaller memory footprint
• Deployment: Edge-optimized for resource-constrained environments
• Quality: High-quality synthesis with optimized resource usage
• Features: Offline capabilities, low-latency streaming

VORA-E0 (Ultra-Efficient)

• Best for: Real-time applications, embedded systems
• Performance: Ultra-low latency for conversational AI
• Size: Minimal memory footprint for constrained devices
• Quality: Optimized balance of quality and efficiency
• Features: Real-time emotion shifting, adaptive speaking styles

SAGE Language Models

Advanced language models with contextual memory and reasoning capabilities.

SAGE (Flagship)

• Best for: Complex reasoning, comprehensive tasks, production applications
• Capabilities: Advanced logical reasoning, contextual memory, multimodal understanding
• Context: Extended context windows for complex conversations
• Languages: Multilingual support with cultural understanding
• Features: Custom fine-tuning, domain adaptation, enterprise integrations

SAGE-mini (Lightweight)

• Best for: Quick tasks, high-throughput scenarios, cost-conscious applications
• Performance: Optimized for speed and efficiency
• Capabilities: Core language understanding with reduced latency
• Cost: More economical option for simple tasks
• Features: Fast response times, batch processing optimization

Model Comparison Matrix

Choosing the Right Model

For Voice Applications

Choose VORA-V1 when:

• You need studio-quality audio output
• Building customer-facing applications
• Requiring advanced emotion control
• Creating content for media/entertainment

Choose VORA-L1 when:

• Deploying on mobile or IoT devices
• Need offline voice synthesis
• Optimizing for battery life
• Building edge applications

Choose VORA-E0 when:

• Building real-time conversational AI
• Working with embedded systems
• Need instant voice responses
• Optimizing for minimal resources

For Language Applications

Choose SAGE when:

• Building complex reasoning applications
• Need extensive context understanding
• Requiring multimodal capabilities
• Creating enterprise solutions

Choose SAGE-mini when:

• Building simple Q&A systems
• Need fast response times
• Processing high volumes
• Optimizing for cost

Model Capabilities

Voice Synthesis Features

• Real-time Generation: Sub-100ms latency for live applications
• Emotional Expression: Dynamic tone control and emotion shifting
• Voice Cloning: Create custom voices with just a few samples
• Multilingual: Native pronunciation across 30+ languages
• Audio Watermarking: Built-in content protection

Language Model Features

• Contextual Memory: Maintain conversation state across interactions
• Reasoning: Advanced logical reasoning and problem-solving
• Multimodal: Integration with vision and voice capabilities
• Fine-tuning: Adapt models to specific domains and use cases
• Safety: Built-in guardrails and content filtering

API Access

All models are available through our unified API:

curl -X POST https://api.sagea.space/v1/vora/synthesize \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "Hello from VORA!", "model": "vora-v1"}'

curl -X POST https://api.sagea.space/v1/sage/complete \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Explain quantum computing", "model": "sage"}'

Next Steps

• Choosing a Model - Detailed guide for model selection
• VORA Models - Deep dive into voice synthesis
• SAGE Models - Language model specifications
• Pricing - Complete pricing information
• API Reference - Full API documentation