Axon Base
Super Intelligent model for general purpose with deep reasoning
Axon offers secure, production-ready AI models for general-purpose tasks, leveraging advanced reasoning and organizational learning on GCP infrastructure.
Early beta: Axon Base includes 10M free tokens. Apply at https://app.matterai.so/chats
Models
Axon Base
| Specification | Value |
|---|---|
| ModelID | axon-base |
| Description | General purpose LLM Model with deep-reasoning |
| Region | US |
| Context Window Size | 256K tokens |
| Max Output Tokens | 16,384 |
Input Price (<256K) | $0.80/1M token |
Output Price (<256K) | $2.00/1M tokens |
| Input Modalities | Text, Image |
| Output Modalities | Text |
| Capabilities | Function Calling, Tool Calling, Reasoning |
Key Features
- Advanced Reasoning: Deep understanding and strategic planning
- Security: Robust protection and threat mitigation
- Organizational Learning: Adapts to enterprise-specific knowledge
- Data Privacy: Client data isolation and secure handling
- Platform Integration: Seamless connectivity with enterprise systems
- State Machine: Manages complex workflows and transitions
Deep Reasoner Engine
Learns organizational patterns, adapts to diverse environments, and excels in strategic planning. It leverages advanced LLM reasoning capabilities to understand complex relationships, strategize, and infer optimal solutions.Integration
- Platforms: Seamless integration with enterprise platforms
- System Mapping: Comprehensive workflow analysis
- Storage: Secure multitenant architecture
- Workflows: Custom process adaptation
Security & Performance
- Security Analysis: Proactive threat identification
- Edge Cases: Comprehensive scenario coverage
LLM Reasoning
- Optimal Solutions: Infers best approaches for complex problems
- Context Integration: Leverages organizational context for informed decisions
- Best Practices: Adheres to industry standards and guidelines
Organization Tuning
- Custom Training: Model fine-tuning for specific needs
- Pattern Learning: Adapts to organizational preferences
- Consistency: Ensures uniform output style
Runtime Adaptation
- Improvement: Continuous capability enhancement
- Feedback: Incorporates user input for refinement
- Optimization: Enhances overall model efficiency
Quality & Security
Enterprise-grade quality and security measures.Security Testing
- Proactive Detection: Built-in threat identification
- Real-time Security: Continuous assessment and monitoring
- Vulnerability Prevention: Mitigates security issues effectively
Compliance
- Standards: Adherence to industry guidelines
- Threat Modeling: Security-conscious design
- Best Practices: Automatic security implementation
Performance
- CPU: Efficient cycle usage
- Memory: Leak prevention, optimization
- Resources: Optimal utilization patterns
Quality Checks
- Review: Automated quality assessment
- Benchmarking: Continuous evaluation and improvement
- Scalability: Designed for growth and high demand
Data Privacy
Privacy-first architecture with security measures.Data Handling
- Storage: Organizational data isolation
- No Sharing: Zero cross-org data usage
- Processing: Isolated environment operations
Organizational Context
- Reasoning: Organization-specific context
- Compliance: Company standard adherence
- Learning: Organization-specific training
Security Infrastructure
- Architecture: Secure data isolation
- Encryption: End-to-end protection
- Access: Granular permissions, auditing