How EltegraAI Works
Most AI tools generate code from assumptions.
EltegraAI extracts what your system actually does first — then rebuilds it
Unlike most AI-based modernization tools that rely on semantic search and probabilistic retrieval, EltegraAI builds a dependency-linked knowledge graph representing the actual structure and behavior of the application. This eliminates the gaps and inconsistencies inherent in competing approaches and enables complete reconstruction of enterprise system intent — even for multi-million-line codebases — achieving 99.9%+ accuracy.
We read your existing system and map every rule, exception, and edge case — before a single line of new code is written. The system tells us what it does. Not what it was supposed to do.
Business logic is extracted into a patent-pending deterministic knowledge graph — locked and verified before rebuild begins. This is what separates EltegraAI from tools that guess.
Clean, production-ready code generated from verified intent — in your target language and architecture. No hallucinations. No missing edge cases. No 18-month surprises.
Why this matters
Other tools generate code from intent.
We verify intent before writing a single line
Every legacy system contains decades of edge cases, exceptions, and undocumented rules.
LLM-based tools guess at these — and get them wrong 25–40% of the time. EltegraAI's patent-pending knowledge graph locks every rule before code generation begins. That's the difference between a rewrite that works and one that fails in production
99.9%
accuracy vs. 60–75% with LLM-only tools
| AREA | UNITS | AMOUNT | |
| AREA 1 (MEDICAL) . . | MED-A | 12.00 | 486.00 |
| AREA 2 (DENTAL) . . | DEN-B | 4.50 | 162.75 |
| AREA 3 (VISION) . . | VIS-A | 2.00 | 58.40 |
See it on your codebase
Book a 30-minute session and we'll show you what EltegraAI extracts from your system