From SOTA to Sustainability
We never really left our first mission: sustainability. What started with SOTA — our LabVIEW-native ONNX environment for efficient AI and hardware orchestration — has evolved into something far greater.
SOTA wasn’t just an experiment in high-performance AI; it was the foundation for a broader vision: enabling intelligent systems that think, adapt, and optimize their environment in real time.
Today, Graiphic presents NEST – Next Energy Smart Twin, an application that brings this vision to life.
“Buildings account for around 40% of global energy consumption and a major share of greenhouse gas emissions. NEST turns each of them into an autonomous, learning energy system.”
What Is NEST?
NEST is an edge-native architecture that merges Generative AI, Data-Driven Digital Twins, and Reinforcement Learning into one unified control system.
It enables buildings to understand themselves, learn continuously, and optimize HVAC and energy operations without relying on the cloud.
All computation runs locally — DGX Spark (2025) — powered by ONNX Runtime (opset 20, IR 10) and orchestrated through GO HW and LabVIEW.
A Living System, Not a Static Dashboard
Unlike traditional Building Management Systems that depend on static rules or vendor-locked cloud services, NEST creates a self-learning loop that evolves over time:
- Generative AI bootstrapping — an LLM initializes control from day one.
- Data-Driven Digital Twin — a predictive model learns the building’s thermal behavior.
- Reinforcement Learning Optimization — an RL agent discovers optimal control policies locally.
The result:
- 🏠 Buildings that adapt in real time
- 🧩 Operation with zero cloud dependency
- ⚙️ 25–35% energy savings and ROI under 24 months
When DGX Spark Meets Smart Green Energy + LabVIEW
NEST is where hardware excellence, AI sovereignty, and environmental impact converge.
It’s a direct continuation of Graiphic’s mission: “From AI to Systems” — uniting computation, energy, and autonomy under one coherent architecture.
For us, LabVIEW remains the ultimate language for innovation and prototyping — seamlessly blending measurement, control, and AI in real time. NEST extends this philosophy to the physical world: every building becomes a living, learning machine.
Explore NEST on GitHub
📂 GitHub Repository:
https://github.com/Graiphic/Nest
📄 Read the full whitepaper:
NEST Whitepaper 1.0 (PDF)
Call for Partners and Investors
Graiphic is opening collaborations with:
- Equity investors to scale NEST across Europe and Africa
- Industrial sponsors for pilot deployments and validation sites
- HVAC, IoT & Energy companies integrating their technologies into NEST’s ONNX orchestration
Join us in shaping the universal cockpit for sovereign, energy-aware AI.
