# Astermind Product Comparison Chart
## Elm vs Pro vs Premium

A comprehensive comparison of Astermind Elm, Astermind Pro, and Astermind Premium to help you choose the right product for your needs.

---

## Quick Comparison Summary

| Feature | **Elm** | **Pro** | **Premium** |
|---------|---------|---------|-------------|
| **Price Point** | Entry | Professional | Enterprise |
| **Target Users** | Developers, Researchers | Teams, Businesses | Enterprise, Large Organizations |
| **ELM Variants** | Core ELM | Core + 5 Pro Variants | Core + 5 Pro + 21 Premium Variants |
| **Advanced Features** | ❌ | ✅ RAG, Reranking, Summarization | ✅ All Pro Features |
| **Enterprise Support** | ❌ | ❌ | ✅ |
| **SLA Guarantees** | ❌ | ❌ | ✅ |

---

## Core Features Comparison

### Machine Learning Capabilities

| Feature | **Elm** | **Pro** | **Premium** |
|---------|---------|---------|-------------|
| **Core ELM** | ✅ | ✅ | ✅ |
| **Basic Classification** | ✅ | ✅ | ✅ |
| **Regression** | ✅ | ✅ | ✅ |
| **Multi-class Classification** | ✅ | ✅ | ✅ |
| **Model Serialization** | ✅ | ✅ | ✅ |
| **Custom Activation Functions** | ✅ | ✅ | ✅ |
| **Hidden Layer Configuration** | ✅ | ✅ | ✅ |

### Advanced ML Features

| Feature | **Elm** | **Pro** | **Premium** |
|---------|---------|---------|-------------|
| **RAG Pipeline** | ❌ | ✅ | ✅ |
| **Reranking** | ❌ | ✅ | ✅ |
| **Summarization** | ❌ | ✅ | ✅ |
| **Information Flow Analysis** | ❌ | ✅ | ✅ |
| **Transfer Entropy** | ❌ | ✅ | ✅ |
| **Synthetic Data Generation** | ❌ | ✅ (Synth included) | ✅ (Synth included) |

---

## ELM Variants Comparison

### Core ELM Variants

| Variant | **Elm** | **Pro** | **Premium** |
|---------|---------|---------|-------------|
| **Standard ELM** | ✅ | ✅ | ✅ |
| **Kernel ELM (KELM)** | ✅ | ✅ | ✅ |
| **Online ELM** | ✅ | ✅ | ✅ |

### Pro ELM Variants (Included in Pro and Premium)

| Variant | **Elm** | **Pro** | **Premium** |
|---------|---------|---------|-------------|
| **Deep ELM** | ❌ | ✅ | ✅ |
| **Sparse ELM** | ❌ | ✅ | ✅ |
| **Multi-Task ELM** | ❌ | ✅ | ✅ |
| **Online Kernel ELM** | ❌ | ✅ | ✅ |
| **Multi-Kernel ELM** | ❌ | ✅ | ✅ |

### Premium ELM Variants (Premium Only)

| Variant | **Elm** | **Pro** | **Premium** |
|---------|---------|---------|-------------|
| **Adaptive Online ELM** | ❌ | ❌ | ✅ |
| **Forgetting Online ELM** | ❌ | ❌ | ✅ |
| **Hierarchical ELM** | ❌ | ❌ | ✅ |
| **Attention-Enhanced ELM** | ❌ | ❌ | ✅ |
| **Variational ELM** | ❌ | ❌ | ✅ |
| **Time-Series ELM** | ❌ | ❌ | ✅ |
| **Transfer Learning ELM** | ❌ | ❌ | ✅ |
| **Graph ELM** | ❌ | ❌ | ✅ |
| **Adaptive Kernel ELM** | ❌ | ❌ | ✅ |
| **Sparse Kernel ELM** | ❌ | ❌ | ✅ |
| **Ensemble Kernel ELM** | ❌ | ❌ | ✅ |
| **Deep Kernel ELM** | ❌ | ❌ | ✅ |
| **Robust Kernel ELM** | ❌ | ❌ | ✅ |
| **ELM-KELM Cascade** | ❌ | ❌ | ✅ |
| **String Kernel ELM** | ❌ | ❌ | ✅ |
| **Convolutional ELM** | ❌ | ❌ | ✅ |
| **Recurrent ELM** | ❌ | ❌ | ✅ |
| **Fuzzy ELM** | ❌ | ❌ | ✅ |
| **Quantum-Inspired ELM** | ❌ | ❌ | ✅ |
| **Graph Kernel ELM** | ❌ | ❌ | ✅ |
| **Tensor Kernel ELM** | ❌ | ❌ | ✅ |

**Total ELM Variants:**
- **Elm**: 3 variants
- **Pro**: 8 variants (3 core + 5 Pro)
- **Premium**: 29 variants (3 core + 5 Pro + 21 Premium)

---

## Data Type Support

| Data Type | **Elm** | **Pro** | **Premium** |
|-----------|---------|---------|-------------|
| **Tabular Data** | ✅ | ✅ | ✅ |
| **Time-Series** | ⚠️ Basic | ⚠️ Basic | ✅ Advanced (Time-Series ELM) |
| **Sequential Data** | ⚠️ Basic | ⚠️ Basic | ✅ Advanced (Recurrent ELM) |
| **Graph Data** | ❌ | ❌ | ✅ (Graph ELM, Graph Kernel ELM) |
| **String/Text Data** | ⚠️ Basic | ⚠️ Basic | ✅ Advanced (String Kernel ELM) |
| **Image Data** | ❌ | ❌ | ✅ (Convolutional ELM) |
| **Tensor Data (3D)** | ❌ | ❌ | ✅ (Tensor Kernel ELM) |
| **Streaming Data** | ⚠️ Basic | ⚠️ Basic | ✅ Advanced (Adaptive/Forgetting Online) |

---

## Specialized Capabilities

| Capability | **Elm** | **Pro** | **Premium** |
|------------|---------|---------|-------------|
| **Online Learning** | ✅ Basic | ✅ Basic | ✅ Advanced (Adaptive, Forgetting) |
| **Uncertainty Quantification** | ❌ | ❌ | ✅ (Variational ELM) |
| **Attention Mechanisms** | ❌ | ❌ | ✅ (Attention-Enhanced ELM) |
| **Hierarchical Classification** | ❌ | ❌ | ✅ (Hierarchical ELM) |
| **Transfer Learning** | ❌ | ❌ | ✅ (Transfer Learning ELM) |
| **Ensemble Methods** | ❌ | ❌ | ✅ (Ensemble Kernel ELM) |
| **Outlier Detection** | ❌ | ❌ | ✅ (Robust Kernel ELM) |
| **Fuzzy Logic** | ❌ | ❌ | ✅ (Fuzzy ELM) |
| **Quantum-Inspired** | ❌ | ❌ | ✅ (Quantum-Inspired ELM) |
| **Cascade Architectures** | ❌ | ❌ | ✅ (ELM-KELM Cascade) |

---

## RAG & NLP Features

| Feature | **Elm** | **Pro** | **Premium** |
|---------|---------|---------|-------------|
| **RAG Pipeline** | ❌ | ✅ | ✅ |
| **Document Retrieval** | ❌ | ✅ | ✅ |
| **Hybrid Retrieval** | ❌ | ✅ | ✅ |
| **Reranking** | ❌ | ✅ | ✅ |
| **Document Summarization** | ❌ | ✅ | ✅ |
| **Text Classification** | ⚠️ Basic | ⚠️ Basic | ✅ Advanced (String Kernel ELM) |
| **Semantic Search** | ❌ | ✅ | ✅ |

---

## Information Flow & Analytics

| Feature | **Elm** | **Pro** | **Premium** |
|---------|---------|---------|-------------|
| **Transfer Entropy** | ❌ | ✅ | ✅ |
| **Information Flow Analysis** | ❌ | ✅ | ✅ |
| **Causal Inference** | ❌ | ✅ | ✅ |
| **Time-Series Causality** | ❌ | ✅ | ✅ |

---

## Synthetic Data Generation

| Feature | **Elm** | **Pro** | **Premium** |
|---------|---------|---------|-------------|
| **Astermind Synth** | ❌ | ✅ Included | ✅ Included |
| **Synthetic Data Generation** | ❌ | ✅ | ✅ |
| **Pretrained Models** | ❌ | ✅ | ✅ |
| **Label-Conditioned Generation** | ❌ | ✅ | ✅ |
| **Multiple Generation Modes** | ❌ | ✅ | ✅ |

---

## Enterprise Features

| Feature | **Elm** | **Pro** | **Premium** |
|---------|---------|---------|-------------|
| **License Validation** | ✅ | ✅ | ✅ |
| **Cryptographic Security** | ✅ | ✅ | ✅ Enhanced |
| **Priority Support** | ❌ | ❌ | ✅ |
| **SLA Guarantees** | ❌ | ❌ | ✅ (99.5% uptime) |
| **Service Credits** | ❌ | ❌ | ✅ |
| **Dedicated Support** | ❌ | ❌ | ✅ (Enterprise tier) |
| **Account Manager** | ❌ | ❌ | ✅ (Enterprise tier) |
| **Custom SLA Terms** | ❌ | ❌ | ✅ (Enterprise tier) |
| **On-Site Audits** | ❌ | ❌ | ✅ (Enterprise tier) |

---

## Support & Documentation

| Feature | **Elm** | **Pro** | **Premium** |
|---------|---------|---------|-------------|
| **Documentation** | ✅ | ✅ | ✅ Enhanced |
| **API Reference** | ✅ | ✅ | ✅ |
| **Code Examples** | ✅ | ✅ | ✅ Extensive |
| **Real-World Examples** | ⚠️ Limited | ⚠️ Limited | ✅ Comprehensive |
| **Email Support** | ✅ | ✅ | ✅ |
| **Response Time** | Best effort | Best effort | Tier-based (1 day to 4 hours) |
| **24/7 Support** | ❌ | ❌ | ✅ (Enterprise tier) |
| **Community Support** | ✅ | ✅ | ✅ |

---

## Use Case Suitability

### Research & Development

| Use Case | **Elm** | **Pro** | **Premium** |
|----------|---------|---------|-------------|
| **Academic Research** | ✅ Excellent | ✅ Good | ✅ Overkill |
| **Prototyping** | ✅ Excellent | ✅ Excellent | ✅ Excellent |
| **Experimentation** | ✅ Good | ✅ Good | ✅ Excellent |
| **Proof of Concept** | ✅ Excellent | ✅ Excellent | ✅ Excellent |

### Small to Medium Business

| Use Case | **Elm** | **Pro** | **Premium** |
|----------|---------|---------|-------------|
| **Basic ML Tasks** | ✅ Excellent | ✅ Good | ✅ Overkill |
| **Document Processing** | ⚠️ Limited | ✅ Excellent | ✅ Excellent |
| **Customer Analytics** | ✅ Good | ✅ Excellent | ✅ Excellent |
| **Content Recommendation** | ⚠️ Limited | ✅ Excellent | ✅ Excellent |

### Enterprise & Large Scale

| Use Case | **Elm** | **Pro** | **Premium** |
|----------|---------|---------|-------------|
| **Production ML Systems** | ⚠️ Limited | ✅ Good | ✅ Excellent |
| **Real-Time Processing** | ⚠️ Limited | ⚠️ Limited | ✅ Excellent |
| **Complex Data Types** | ❌ | ⚠️ Limited | ✅ Excellent |
| **Multi-Modal Data** | ❌ | ❌ | ✅ Excellent |
| **Enterprise Integration** | ⚠️ Limited | ✅ Good | ✅ Excellent |
| **Compliance Requirements** | ⚠️ Limited | ✅ Good | ✅ Excellent |

---

## Industry-Specific Suitability

### Finance & Banking

| Requirement | **Elm** | **Pro** | **Premium** |
|-------------|---------|---------|-------------|
| **Fraud Detection** | ⚠️ Basic | ✅ Good | ✅ Excellent (Adaptive Online, Robust Kernel) |
| **Risk Assessment** | ⚠️ Basic | ✅ Good | ✅ Excellent (Variational, Ensemble) |
| **Document Analysis** | ❌ | ✅ Excellent | ✅ Excellent |
| **Time-Series Forecasting** | ⚠️ Basic | ⚠️ Basic | ✅ Excellent (Time-Series ELM) |
| **Real-Time Processing** | ⚠️ Limited | ⚠️ Limited | ✅ Excellent |

### Healthcare

| Requirement | **Elm** | **Pro** | **Premium** |
|-------------|---------|---------|-------------|
| **Medical Diagnosis** | ⚠️ Basic | ✅ Good | ✅ Excellent (Hierarchical, Variational) |
| **Medical Imaging** | ❌ | ❌ | ✅ Excellent (Convolutional, Tensor Kernel) |
| **Patient Monitoring** | ⚠️ Basic | ⚠️ Basic | ✅ Excellent (Time-Series, Recurrent) |
| **Medical Records** | ⚠️ Basic | ✅ Good | ✅ Excellent (String Kernel) |
| **Drug Discovery** | ❌ | ❌ | ✅ Excellent (Graph ELM, Graph Kernel) |

### Transportation & Logistics

| Requirement | **Elm** | **Pro** | **Premium** |
|-------------|---------|---------|-------------|
| **Route Optimization** | ⚠️ Basic | ✅ Good | ✅ Excellent (Adaptive Online, Graph) |
| **Predictive Maintenance** | ⚠️ Basic | ⚠️ Basic | ✅ Excellent (Time-Series, Robust) |
| **Supply Chain** | ❌ | ❌ | ✅ Excellent (Graph ELM, Graph Kernel) |
| **Inventory Management** | ⚠️ Basic | ✅ Good | ✅ Excellent (Forgetting Online, Sparse Kernel) |
| **Traffic Analysis** | ⚠️ Basic | ⚠️ Basic | ✅ Excellent (Attention-Enhanced, Recurrent) |

### Science & Research

| Requirement | **Elm** | **Pro** | **Premium** |
|-------------|---------|---------|-------------|
| **Molecular Analysis** | ❌ | ❌ | ✅ Excellent (Graph ELM, Graph Kernel) |
| **Experimental Analysis** | ✅ Good | ✅ Good | ✅ Excellent (Variational, Robust, Tensor) |
| **Biological Classification** | ⚠️ Basic | ✅ Good | ✅ Excellent (Hierarchical) |
| **Cross-Domain Research** | ❌ | ❌ | ✅ Excellent (Transfer Learning) |
| **Quantum Simulations** | ❌ | ❌ | ✅ Excellent (Quantum-Inspired) |

---

## Technical Specifications

### Performance

| Metric | **Elm** | **Pro** | **Premium** |
|--------|---------|---------|-------------|
| **Training Speed** | ✅ Fast | ✅ Fast | ✅ Fast |
| **Prediction Speed** | ✅ Fast | ✅ Fast | ✅ Fast |
| **Memory Efficiency** | ✅ Excellent | ✅ Good | ✅ Good |
| **Scalability** | ✅ Good | ✅ Good | ✅ Excellent |
| **Large Dataset Support** | ✅ Good | ✅ Good | ✅ Excellent (Sparse Kernel) |

### Platform Support

| Platform | **Elm** | **Pro** | **Premium** |
|----------|---------|---------|-------------|
| **Node.js** | ✅ | ✅ | ✅ |
| **Browser** | ✅ | ✅ | ✅ |
| **Web Workers** | ✅ | ✅ | ✅ |
| **TypeScript** | ✅ | ✅ | ✅ |
| **ES Modules** | ✅ | ✅ | ✅ |
| **CommonJS** | ⚠️ Limited | ⚠️ Limited | ⚠️ Limited |

### Data Size Limits

| Data Type | **Elm** | **Pro** | **Premium** |
|-----------|---------|---------|-------------|
| **Small Datasets** (< 10K samples) | ✅ Excellent | ✅ Excellent | ✅ Excellent |
| **Medium Datasets** (10K-1M samples) | ✅ Good | ✅ Good | ✅ Excellent |
| **Large Datasets** (> 1M samples) | ⚠️ Limited | ⚠️ Limited | ✅ Excellent (Sparse Kernel) |
| **Streaming Data** | ⚠️ Basic | ⚠️ Basic | ✅ Excellent |

---

## Pricing & Licensing

| Aspect | **Elm** | **Pro** | **Premium** |
|--------|---------|---------|-------------|
| **License Type** | Proprietary | Proprietary | Proprietary |
| **License Validation** | ✅ | ✅ | ✅ Enhanced |
| **Subscription Required** | ✅ | ✅ | ✅ |
| **Trial Available** | ✅ | ✅ | ✅ |
| **Refund Period** | 14 days | 14 days | 14-30 days |
| **Price Point** | Entry | Professional | Enterprise |
| **Volume Discounts** | ⚠️ Limited | ✅ | ✅ |
| **Enterprise Pricing** | ❌ | ⚠️ Limited | ✅ |

---

## What's Included

### Astermind Elm Includes:
- Core ELM implementation
- Kernel ELM (KELM)
- Online ELM
- Basic documentation
- Community support

### Astermind Pro Includes:
- ✅ Everything in Elm
- ✅ 5 Pro ELM variants
- ✅ RAG Pipeline
- ✅ Reranking
- ✅ Summarization
- ✅ Information Flow Analysis
- ✅ Astermind Synth (synthetic data)
- ✅ Enhanced documentation
- ✅ Email support

### Astermind Premium Includes:
- ✅ Everything in Pro
- ✅ 21 Premium ELM variants
- ✅ Enterprise support
- ✅ SLA guarantees (99.5% uptime)
- ✅ Service credits
- ✅ Priority support
- ✅ Comprehensive real-world examples
- ✅ Dedicated account manager (Enterprise tier)
- ✅ Custom SLA terms (Enterprise tier)
- ✅ On-site audits (Enterprise tier)

---

## Migration Path

### From Elm to Pro
- ✅ **Easy**: Pro includes all Elm features
- ✅ **No code changes**: Drop-in replacement
- ✅ **Additional features**: Access to RAG, reranking, summarization
- ✅ **More variants**: 5 additional ELM variants

### From Pro to Premium
- ✅ **Easy**: Premium includes all Pro features
- ✅ **No code changes**: Drop-in replacement
- ✅ **21 new variants**: Access to specialized architectures
- ✅ **Enterprise features**: Support, SLA, service credits

### From Elm to Premium
- ✅ **Easy**: Premium includes all Elm and Pro features
- ✅ **No code changes**: Drop-in replacement
- ✅ **Full feature set**: Access to everything
- ✅ **Maximum capabilities**: All 29 ELM variants

---

## Decision Matrix

### Choose **Astermind Elm** if:
- ✅ You're doing basic ML tasks
- ✅ You need core ELM functionality
- ✅ You're prototyping or experimenting
- ✅ You're on a tight budget
- ✅ You don't need advanced features
- ✅ You're in academic research

### Choose **Astermind Pro** if:
- ✅ You need RAG, reranking, or summarization
- ✅ You want synthetic data generation
- ✅ You need information flow analysis
- ✅ You want more ELM variants (5 Pro variants)
- ✅ You're building production applications
- ✅ You need better documentation and support

### Choose **Astermind Premium** if:
- ✅ You need specialized ELM architectures (21 variants)
- ✅ You're working with complex data types (graphs, images, tensors)
- ✅ You need real-time/streaming capabilities
- ✅ You require uncertainty quantification
- ✅ You need enterprise support and SLA guarantees
- ✅ You're building mission-critical systems
- ✅ You need 24/7 support
- ✅ You require compliance and audit capabilities

---

## Feature Count Summary

| Category | **Elm** | **Pro** | **Premium** |
|----------|---------|---------|-------------|
| **Total ELM Variants** | 3 | 8 | 29 |
| **Core Features** | 7 | 7 | 7 |
| **Advanced ML Features** | 0 | 6 | 6 |
| **Specialized Capabilities** | 0 | 0 | 10 |
| **Data Type Support** | 1 | 1 | 7 |
| **Enterprise Features** | 1 | 1 | 8 |
| **Support Tiers** | 1 | 1 | 3 |

---

## Performance Comparison

### Training Time (Relative)

| Dataset Size | **Elm** | **Pro** | **Premium** |
|---------------|---------|---------|-------------|
| **Small** (< 1K) | 1x | 1x | 1x |
| **Medium** (1K-100K) | 1x | 1.1x | 1.1x |
| **Large** (> 100K) | 1x | 1.2x | 0.8x (Sparse Kernel) |

### Prediction Speed (Relative)

| Model Type | **Elm** | **Pro** | **Premium** |
|-------------|---------|---------|-------------|
| **Standard ELM** | 1x | 1x | 1x |
| **Kernel ELM** | 1x | 1x | 0.5x (Sparse Kernel) |
| **Online ELM** | 1x | 1x | 1x |
| **Specialized Variants** | N/A | N/A | 1x-1.5x |

---

## Code Example Comparison

### Basic Classification

**Elm, Pro, Premium (Same):**
```javascript
import { ELM } from '@astermind/astermind-elm'; // or pro/premium

const model = new ELM({
  categories: ['class1', 'class2', 'class3']
});

model.train(X, y);
const prediction = model.predict(sample, 3);
```

### Advanced: Time-Series Analysis

**Elm/Pro (Limited):**
```javascript
// Basic time-series handling
const model = new ELM({ categories: ['up', 'down'] });
model.train(flattenedTimeSeries, labels);
```

**Premium (Advanced):**
```javascript
import { TimeSeriesELM } from '@astermind/astermind-premium';

const model = new TimeSeriesELM({
  categories: ['trend_up', 'trend_down', 'stable'],
  sequenceLength: 30
});

// Native sequence support
model.train(sequences, labels); // sequences: number[][][]
const prediction = model.predict(recentSequence, 1);
```

### Advanced: Graph Data

**Elm/Pro:**
```javascript
// Not available - would need custom preprocessing
```

**Premium:**
```javascript
import { GraphELM } from '@astermind/astermind-premium';

const model = new GraphELM({
  categories: ['type1', 'type2']
});

// Native graph support
model.train(graphs, labels); // graphs: { nodes, edges }[]
const prediction = model.predict(graph, 1);
```

---

## Support Comparison

| Support Feature | **Elm** | **Pro** | **Premium** |
|-----------------|---------|---------|-------------|
| **Email Support** | ✅ | ✅ | ✅ |
| **Response Time** | Best effort | Best effort | Tier-based |
| **Business Hours** | ✅ | ✅ | ✅ |
| **24/7 Support** | ❌ | ❌ | ✅ (Enterprise) |
| **Priority Queue** | ❌ | ❌ | ✅ |
| **Dedicated Support** | ❌ | ❌ | ✅ (Enterprise) |
| **Account Manager** | ❌ | ❌ | ✅ (Enterprise) |
| **SLA Guarantees** | ❌ | ❌ | ✅ |
| **Service Credits** | ❌ | ❌ | ✅ |

---

## Compliance & Security

| Feature | **Elm** | **Pro** | **Premium** |
|---------|---------|---------|-------------|
| **License Validation** | ✅ | ✅ | ✅ Enhanced |
| **GDPR Compliance** | ✅ | ✅ | ✅ |
| **DPA Available** | ✅ | ✅ | ✅ |
| **CCPA Compliance** | ✅ | ✅ | ✅ |
| **Security Audits** | ⚠️ Limited | ✅ | ✅ |
| **On-Site Audits** | ❌ | ❌ | ✅ (Enterprise) |
| **Custom Compliance** | ❌ | ❌ | ✅ (Enterprise) |

---

## Summary Recommendations

### For Individual Developers
- **Start with Elm**: If you're learning or prototyping
- **Upgrade to Pro**: If you need RAG or document processing
- **Consider Premium**: If you need specialized variants

### For Small Teams
- **Start with Pro**: Best value for most use cases
- **Upgrade to Premium**: If you need specialized data types or enterprise features

### For Enterprises
- **Premium Recommended**: Enterprise features, SLA, support
- **Professional Tier**: For smaller enterprise teams
- **Business Tier**: For growing companies
- **Enterprise Tier**: For large organizations with custom needs

---

## Feature Availability Matrix

| Feature | Elm | Pro | Premium |
|---------|-----|-----|---------|
| **Core ELM** | ✅ | ✅ | ✅ |
| **Kernel ELM** | ✅ | ✅ | ✅ |
| **Online ELM** | ✅ | ✅ | ✅ |
| **Deep ELM** | ❌ | ✅ | ✅ |
| **Sparse ELM** | ❌ | ✅ | ✅ |
| **Multi-Task ELM** | ❌ | ✅ | ✅ |
| **Online Kernel ELM** | ❌ | ✅ | ✅ |
| **Multi-Kernel ELM** | ❌ | ✅ | ✅ |
| **Adaptive Online ELM** | ❌ | ❌ | ✅ |
| **Forgetting Online ELM** | ❌ | ❌ | ✅ |
| **Hierarchical ELM** | ❌ | ❌ | ✅ |
| **Attention-Enhanced ELM** | ❌ | ❌ | ✅ |
| **Variational ELM** | ❌ | ❌ | ✅ |
| **Time-Series ELM** | ❌ | ❌ | ✅ |
| **Transfer Learning ELM** | ❌ | ❌ | ✅ |
| **Graph ELM** | ❌ | ❌ | ✅ |
| **Adaptive Kernel ELM** | ❌ | ❌ | ✅ |
| **Sparse Kernel ELM** | ❌ | ❌ | ✅ |
| **Ensemble Kernel ELM** | ❌ | ❌ | ✅ |
| **Deep Kernel ELM** | ❌ | ❌ | ✅ |
| **Robust Kernel ELM** | ❌ | ❌ | ✅ |
| **ELM-KELM Cascade** | ❌ | ❌ | ✅ |
| **String Kernel ELM** | ❌ | ❌ | ✅ |
| **Convolutional ELM** | ❌ | ❌ | ✅ |
| **Recurrent ELM** | ❌ | ❌ | ✅ |
| **Fuzzy ELM** | ❌ | ❌ | ✅ |
| **Quantum-Inspired ELM** | ❌ | ❌ | ✅ |
| **Graph Kernel ELM** | ❌ | ❌ | ✅ |
| **Tensor Kernel ELM** | ❌ | ❌ | ✅ |
| **RAG Pipeline** | ❌ | ✅ | ✅ |
| **Reranking** | ❌ | ✅ | ✅ |
| **Summarization** | ❌ | ✅ | ✅ |
| **Information Flow** | ❌ | ✅ | ✅ |
| **Astermind Synth** | ❌ | ✅ | ✅ |
| **Enterprise Support** | ❌ | ❌ | ✅ |
| **SLA Guarantees** | ❌ | ❌ | ✅ |

---

## Total Feature Count

- **Astermind Elm**: ~10 features
- **Astermind Pro**: ~20 features
- **Astermind Premium**: ~50+ features

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## Upgrade Benefits

### Elm → Pro
- +5 ELM variants
- +RAG, Reranking, Summarization
- +Information Flow Analysis
- +Astermind Synth
- +Enhanced support

### Pro → Premium
- +21 ELM variants
- +Specialized data type support
- +Enterprise features
- +SLA guarantees
- +Priority support
- +Comprehensive examples

### Elm → Premium
- +26 ELM variants (5 Pro + 21 Premium)
- +All Pro features
- +All Premium features
- +Enterprise capabilities
- +Maximum support

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**Last Updated**: November 24, 2025

**For the latest information, visit:**
- [Astermind Elm](https://www.npmjs.com/package/@astermind/astermind-elm)
- [Astermind Pro](https://www.npmjs.com/package/@astermind/astermind-pro)
- [Astermind Premium](https://www.npmjs.com/package/@astermind/astermind-premium)