2025 was a paradoxical year for Graiphic: financially difficult, yet extraordinarily innovative. From the launch of SOTA to the emergence of Graph Orchestration, deep learning, GenAI, and hardware ambitions, this article reflects on what was built and reveals Graiphic’s vision for making LabVIEW a true language for AI in 2026 and beyond.
We’ve published the Graiphic GO Whitepaper Series on GitHub: four documents that describe a unified, ONNX-native, LabVIEW-based approach to graph computing—bringing AI, logic, and hardware orchestration under one visual environment. SOTA is the foundation, already functional and ready for industry, research, and academia.
We open-sourced our full LabVIEW benchmark suite and results. See why graph-compiled execution (TensorRT/CUDA via ONNX Runtime) consistently outpaces DLL-style approaches—and how DirectML broadens GPU support to AMD/Intel on Windows.
Graiphic has been featured by the AI, Data and Robotics Association (ADRA) for its contribution to Europe’s sovereign and energy-efficient AI through GO Hardware (GO HW) and SOTA — two ONNX-based technologies bridging AI, logic, and hardware.
Graiphic’s GO HW initiative transforms ONNX from a static file into a living graph that unifies AI, logic, and hardware orchestration. Learn how this roadmap reshapes edge computing, energy-aware AI, and open innovation.
What if he was right? If Graiphic’s engineers see clearly, a modernized LabVIEW could become the universal, frugal, efficient cockpit for AI and robotics—awakening NI’s true potential and sparking a Texas-born revolution.
As AI workloads surge, energy has become a first-class challenge. While Big Tech bets on nuclear-powered cloud datacenters, most industrial, medical, and embedded applications thrive on efficient local execution. At Graiphic, we focus on sovereignty through sobriety: SOTA and LabVIEW everywhere enable energy-aware AI that runs directly on existing hardware, reducing cost, latency, and power consumption.
NVIDIA, AMD, Intel, Google, everyone is racing to build faster, more energy-efficient AI chips. But the true challenge is orchestration. French startup Graiphic unveils GO HW, a universal IDE to program any hardware through a single ONNX graph.
SoC explained with clear metaphors and a practical map to ONNX Runtime EPs—then how GO HW unifies AI, control logic and I/O in a single graph deployable anywhere.
LabVIEW everywhere is no longer just a cockpit of gauges. With ONNX and its safety profile, it becomes a pilot — efficient on SoCs, fast in inference, and certifiable for aerospace and defense.
Design in LabVIEW, deploy anywhere. With ONNX GO HW, a single ONNX graph runs AI, control logic, and physical I/O—no LabVIEW runtime on the device, maximum efficiency per watt.
Graiphic showcased SOTA, the first fully native ONNX-based deep learning framework, at the GLA Summit 2025, redefining visual AI orchestration within LabVIEW.
Graiphic showcased SOTA at the ONNX Annual Meetup 2025—a breakthrough visual AI and graph computing framework combining LabVIEW, ONNX, and ONNX Runtime. From deep learning orchestration to general computation graphs, SOTA pushes the boundaries of modern AI workflows.
Discover how SOTA is transforming LabVIEW into a powerful platform for modern deep learning at the GLA Summit 2025.
Graiphic introduces a comprehensive node-level testing project for ONNX Runtime execution providers, enhancing transparency and facilitating industrial adoption.
Discover how LabVIEW transforms into a versatile graph editor with ONNX Runtime orchestration, significantly accelerating computations and enhancing hardware optimization.
Graiphic will present SOTA, the first fully graphical orchestration framework for ONNX Runtime, at Intel’s headquarters during the ONNX Community Meetup 2025.
A world-first milestone: YOLO 11 is now trainable in LabVIEW with ONNX Runtime. No Ultralytics code. No Python. No AGPL. A new era of deep learning begins—for industry, science, and embedded systems.
SOTA toolkits, powered by LabVIEW, revolutionize AI development by combining intuitive graphical programming with cutting-edge tools for annotation, training, optimization, and deployment. This unified approach simplifies workflows, reduces costs, and accelerates innovation, making AI accessible to engineers, researchers, and businesses alike.
Discover Annotator, the revolutionary all-in-one tool for AI development. From data annotation to YOLO model training and deployment, Annotator simplifies your workflow while integrating advanced ONNX Runtime capabilities. Transform your AI projects with ease and efficiency.
ONNX, ONNX Runtime, and SOTA form a powerful trio addressing AI workflow challenges. From seamless interoperability to flexible deployment and modular integration, transform your AI projects today.
We’ve submitted our full proposal to the EIC Accelerator to bring SOTA, our groundbreaking AI platform, to market. Deployment starts in late October, positioning Graiphic as a leader in European AI innovation.