Transform network configurations across vendors with AI-powered precision. NetConverter.ai delivers enterprise-grade translation services through a sophisticated 3-tier learning system that combines caching, vector similarity search, and AI translation with human review capabilities.
Sub-millisecond response times for cached translations with 90% hit rate for repeated configurations
AI-powered translation engine delivers consistent, precise configuration conversions across all supported vendors
System improves over time through human review feedback and vector similarity matching
Validated through human review process
Sub-millisecond responses for known patterns
Through intelligent caching and learning
Semantic similarity matching in real-time
Every translation makes the system smarter. Our MCP-powered cache learns from patterns, dramatically reducing operational costs while competitors remain static.
Our proprietary implementation uses 16 specialized tools that orchestrate between cache layers, vector search, and AI translation.
Break configurations into semantic sections. Engineers can approve routing configurations while correcting ACLs, creating targeted learning patterns.
Powered by OpenAI embeddings and Supabase pgvector, our system finds patterns that humans miss. Semantic matching delivers 80-95% accuracy in just 100 milliseconds.
Instant retrieval of exact configuration matches from high-performance in-memory cache.
Semantic similarity matching finds approved translations for similar configurations.
Claude AI generates new translations, logged for human review and continuous improvement.
| Approach | Cost | Accuracy | Learning | Scalability |
|---|---|---|---|---|
| Rules-Based Systems | Constant high | 60-80% | No learning | Limited |
| Direct AI Calls | Very high | 80% | No learning | Not scalable |
| Python Scripts | High maintenance | 50-70% | No learning | Limited |
| NetConverter.ai | ↓ Decreases | 95%+ | Continuous | Highly scalable |
As our system processes more configurations, costs decrease while accuracy improves:
This creates a compounding competitive advantage. The more customers use NetConverter.ai, the smarter and more cost-effective it becomes for everyone.
ASA, IOS, IOS-XE, NX-OS
PAN-OS (XML and set commands)
FortiOS
Junos
EOS
Sophisticated parsing engines decompose complex configurations into manageable sections, mapping individual components for precise translation. Support for multi-vendor syntax with intelligent section identification and hierarchical structure preservation.
Parsers identify configuration sections including interfaces, VLANs, routing protocols (BGP, OSPF, EIGRP), access control lists, NAT policies, QoS configurations, and security settings. Each section is mapped to a standardized internal representation before translation.
The platform preserves comments, maintains indentation logic, and respects vendor-specific formatting conventions in the output configuration, ensuring translated configurations are immediately usable.
Sophisticated parsing engines decompose complex configurations into manageable sections, mapping individual components for precise translation. Support for multi-vendor syntax with intelligent section identification and hierarchical structure preservation.
Granular translation capabilities process individual configuration sections independently, enabling partial translations and incremental updates. Maintains context awareness across sections while optimizing for parallel processing.
Enterprise-grade security with encrypted storage, audit trails, and access control. API key management through environment variables with service role permissions and comprehensive error handling without exposing sensitive data.
User submits network configuration through REST API or web interface. System validates input format and identifies source vendor platform.
Advanced parsers decompose configuration into logical sections, mapping interfaces, routing protocols, security policies, and access controls. Each section maintains contextual relationships.
Redis cache checks for exact configuration matches using vendor-specific hash keys. If found, returns translation in 0.0003 seconds with 100% accuracy guarantee.
If no cache hit, system generates embedding and queries Supabase vector database. Returns semantically similar translations with confidence scores above 80% threshold.
For new configurations, Claude AI generates translation with detailed prompts including vendor specifications, syntax requirements, and best practices. Processing completes in 1-4 seconds.
All AI translations logged to Supabase with pending review status. Human reviewers approve or reject translations through dashboard interface. Approved translations indexed in vector database and cached in Redis for faster future response times.
All configurations encrypted at rest and in transit
API key management with service role permissions
Complete logging of all translations and approvals
Customer data segregated in dedicated namespaces
SOC 2, ISO 27001 certification in progress
Cloud SaaS or on-premise installation
Web dashboard for review workflow, AWS ECS production deployment, customer pilot program, enhanced monitoring and analytics
Arista EOS parser, Cisco Catalyst support, Juniper Junos integration, enhanced VLAN and routing features
SSO and RBAC integration, custom model training, on-premise deployment packages, advanced compliance reporting
NetConverter.ai is currently in MVP testing phase with select enterprise customers. We're looking for forward-thinking organizations ready to revolutionize their network configuration management.
Be among the first to experience the platform
Shape the future of the product
Get priority support from our engineering team
MVP pricing for early adopters