New systems, legacy systems, everyday changes — all built from one spec, all verified against it.
EltegraAI autonomously reads what your code actually does and reconstructs it as a specification your team can read and correct. Everything that follows — requirements, code, tests, compliance evidence, deployment — is generated from that spec and checked back against it at every step. We call that Autonomous Product Engineering.
For banks, insurers, telecoms and healthcare providers who cannot afford software that behaves differently from the system it replaces. COBOL, RPG, PowerBuilder, SAP — and the ten-year-old .NET or Angular nobody wants to touch.
Industry recognition
2026 Intellyx Digital Innovator
Intellyx named EltegraAI a 2026 Digital Innovator. Analyst Jason Bloomberg covered how EltegraAI turns COBOL, PowerBuilder, and C++ estates into a knowledge graph that gives AI code generation deterministic, traceable context. Read the analyst brief →
The missing layer between AI code generation and enterprise reality.
What it reads
What it generates
What should be built? Why?
Capture the knowledge trapped in software, documentation and people, and structure it into a trusted Enterprise Knowledge Graph.
Build it. Test it. Validate it.
Turn that knowledge into requirements, tests, documentation, modernized applications and AI agents — with full traceability.
Keep it correct and current.
Keep software and knowledge synchronized as the enterprise changes: a living source of truth for people and AI.
Autonomous Product Engineering ≠ autonomous code generation.
Three ways in. One governed pipeline.
Every engagement enters through one of three intents. All three run the same pipeline and the same verification.
Modernize
“We need to move a twenty-year-old .NET Framework application to .NET 10.”
Intent arrives as a legacy estate. The platform reconstructs its knowledge, designs the target architecture, then rebuilds and validates against the original.
Change
“We need to support California’s new tax rules.”
Intent arrives as a change request. The platform identifies every affected application and business rule, traces dependencies and assesses enterprise-wide impact before any code moves.
Build
“We need a new onboarding flow that respects every rule already in the system.”
Intent arrives as an idea. The platform locates the relevant knowledge, data, systems and policies, then builds against verified ground truth rather than against assumptions about what the business does.
Every artifact traces back. The knowledge graph updates continuously.
Modernize what you have. Change it when the rules do. Build what you don’t.
Works inside the tools and platforms you already run.
EltegraAI serves its knowledge graph and verified specifications over MCP. Your engineers keep Claude, Cursor or Copilot; those agents stop guessing from syntax and start working from verified ground truth.
Point the coding agents you already use at the knowledge graph. Every answer and every change traces back to a rule in the specification.
Bring verified specifications into client programs and your own delivery frameworks, without replacing the tooling your teams run today.
Connect your product to EltegraAI and offer verified legacy knowledge inside it. Embedded use is licensed directly with our team.
If the AI rewrites it, who signs off that it still behaves?
Neither of those first two is a technology failure. Both are failures to prove control. Generate first and check afterwards, and the checker inherits the same blind spot as the generator.
Numbers you can check against your own system.
months of calendar time to fully modernize an 18-year-old, ~2.5M-line payroll system, against a systems-integrator estimate.
less audit preparation time: 480 hours down to 144 per cycle.
test cases generated from a single brief, each traced to the requirement that produced it.
saved on a medium-size modernization project.
Programs that were stalled before we arrived.
“Our original timeline to migrate 3M lines was 18 months with an internal team and a coding agent. With EltegraAI feeding those agents context, we compressed it to just over three months.”
“We had been afraid to touch our core loan servicing platform for a decade. EltegraAI surfaced every business rule and dependency in the first two weeks.”
“EltegraAI gave us a complete specification before we wrote a single line of new code. The program finally has a contract to build against.”
“So far, everyone has been impressed with the product.”
“Our review of the generated code has gone very well. Our team was satisfied with the quality and accuracy of the results.”
See it working, at the depth you need.
A 1980s CICS benefits screen beside the interface generated from it, with every line traced to the rule behind it.
Plain-language questions about a legacy system, answered with the rule and the file they came from.
How the proof required grows as you hand the machine more of the decision.
COBOL, RPG, PowerBuilder, SAP ABAP and twelve more read; Java, C# / .NET, React, Angular and SQL generated.
Knowledge beyond code, verification before generation, and a graph that persists across projects.
How Claude, Cursor and Copilot connect to the knowledge graph, and what your agents can ask it.
Built for systems that carry regulatory weight.
Core banking and payment engines where SOX, PCI DSS, AML and Basel III logic lives in undocumented COBOL.
InsurancePolicy, underwriting and claims rules accumulated across decades of regulatory findings.
HealthcareClaims, benefits and eligibility rules that predate the compliance frameworks they answer to.
TelecomBilling, provisioning and OSS/BSS platforms carrying decades of tariff logic.
AutomotiveControl, diagnostics and dealer systems where safety and homologation logic must survive the rebuild.
Built to survive your security review.
Cloud by default on Azure, full on-premise, or air-gapped with no outbound path.
Your code, inputs and outputs are never used to train or fine-tune models.
Built for systems that process PHI, cardholder and personal data. Production records stay in your environment.
Traceability is produced as the platform runs. ISO/IEC 27001 certification is in progress.
See it run on a system like yours.
Thirty minutes with our engineering team. Describe the system you are afraid to touch; we show you what the platform reconstructs from systems like it, and what a first phase on yours would look like. No code is needed to start, and we sign an NDA before anything technical is shared.