Legacy Coding Agent
Skyl4r builds proprietary vertical AI models. The first — Skylar Cobol — reads, explains, fixes and modernizes mission-critical legacy code without a single line ever leaving your infrastructure. Legacy is the entry point, not the ceiling.
How a Skylar is born.
From raw legacy code to a compiler-verified specialist — every stage happens in-house, on our own infrastructure. Nothing borrowed, nothing wrapped.
The whole stack, built in-house.
From raw data to a compiler-verified answer, every layer under Skylar is ours — and you can inspect it. Click a layer to see what it does.
Skylar Cobol, at work.
A rich-console workspace where the model reads, fixes and verifies mission-critical COBOL — shown here on a classic production failure.
A senior legacy-code expert, on demand — working where your code lives.
Skylar deploys inside your perimeter and joins the team like a specialist who never retires, never forgets, and has read every line of your codebase.
One company, many specialists.
COBOL is the entry wedge — highest pain, no sovereign competition — and the recipe is built to be repeated.
Not a wrapper. A model of our own.
Skylar is not another agent sitting on top of someone else's LLM. It is a proprietary model trained 100% from scratch — data pipeline, tokenizer, weights — built in Italy. That is what makes sovereign, on-prem deployment actually possible.
Deployed where your code already runs.
Built on Skylar's own proprietary AI models, purpose-built for enterprise legacy languages — not a wrapper around a third-party cloud.
Try Skylar on your code.
A 4–6 week pilot, on your premises, on your real programs. Measurable from the first weeks: programs explained, documentation generated, fixes verified.
Sovereign · On-prem · Compiler-verified