LabVIEW proved that graphical dataflow could power serious engineering systems. Graiphic Studio builds on that legacy while rethinking the architecture for readable source, Git, artificial intelligence and modular execution. Here are 10 major differences between the two approaches.
AI can now generate software faster than engineering teams can reasonably inspect it. FROG is Graiphic’s open graphical dataflow language, designed to combine machine-generatable structured source with visual inspection, explicit validation and modular industrial execution.
As AI governance becomes operational in 2026, organizations face a harder problem than generating more code: keeping software understandable, reviewable, and accountable. FROG, Graiphic’s Free Open Graphical Language, explores an open graphical dataflow foundation where source, semantics, FIR, execution handoff, and provenance can remain inspectable.
FROG is moving from vision to executable proof. The project now exposes a bounded path from open graphical source to FIR, lowering, backend contracts, runtime acceptance, and LLVM proof — a first step toward accountable graphical programming in the AI era.