SOTA at the ONNX Community Meetup
Youssef Menjour’s full presentation: AI, ONNX Runtime and graph computing in LabVIEW.
Open on YouTubeOur R&D and Innovation Center connects industrial AI, graphical programming and LabVIEW architecture. SOTA and EKILOHA have already emerged from this research. FROG and Graiphic Studio open the next chapter.

On June 9, 2025, Youssef Menjour presented SOTA to the ONNX community at Intel’s Santa Clara campus. A concrete expression of our ambition: turn research into technology engineers can use within LabVIEW architectures.
Read the article and explore the eventYoussef Menjour’s full presentation: AI, ONNX Runtime and graph computing in LabVIEW.
Open on YouTubeSOTA and EKILOHA illustrate two paths from our R&D and Innovation Center: a software ecosystem and an energy solution developed from NEST research.

Developed over five years in our R&D and Innovation Center, SOTA brings together Graiphic tools and toolkits to simplify AI integration into LabVIEW architectures, from data preparation to industrial deployment.

The NEST whitepaper documents the local energy control research behind our EKILOHA product.
These papers describe architectures and research directions. They do not all represent shipped features.
GO whitepapers libraryONNX graphs and visual orchestration in LabVIEW.
From models to systems: hardware, I/O and heterogeneous targets.
A proposal for an open graphical dataflow language.
Orchestrating models, logic and memory in one graph.
Learning informed by constraints, knowledge and physics.
A local building energy architecture whose research informs EKILOHA.
Methods and source files are available alongside the results.
This SOTA module accelerates supported LabVIEW computations on the GPU. The public repository compares its execution with CuLab, G2CPU and native CPU, with methods, results and source VIs. Figures depend on the test setup.

An open project testing ONNX operator coverage across execution providers and publishing data, methods and scripts.
Each project shows its current status and links to a public resource.

Defined from the ground up by Graiphic, FROG brings graphical dataflow to AI generation, inspection and modular execution architectures. Its specification, examples and conformance tests are public.

Developed by Graiphic, the first FROG IDE brings Front Panel, Block Diagram and Source together to design and inspect programs in the new language. Development continues.

A local building energy control architecture behind EKILOHA. The public repository documents the approach and the whitepaper.