TwinGraph© SDK: A Technical Framework for De-Risking Generative AI Initiatives
TwinGraph© SDK: A Technical Framework for De-Risking Generative AI Initiatives
FEATURE | TwinGraph UI Annoucement
The TwinGraph WebUI is now available! 🚀 What you'll see in the video:
Live, auto-updating TwinGraph visualization (no refresh needed)
Click a node to inspect details and live telemetry
A built-in Python console for quick experiments and demos
Why it matters:
No custom frontend required—just run and explore
Perfect for demos, debugging, and operational visibility
Faster onboarding for teams and customers
Beyond Replacement: The Indispensable Role of Digital Twins in an AI-Driven World
Beyond Replacement: The Indispensable Role of Digital Twins in an AI-Driven World
TwinGraph SDK MCP Server Demo | Graph-Based Digital Twin in Under 5 Minutes
From product specifications to a digital twin with one command. 🤯
We’re replacing several weeks to months of complex digital twin modeling and complicated deployment processes with a single LLM prompt. The entire process takes less than 5 minutes.
Watch Ethan Monk, Head of Product Development at Lucid TC, use the Google Gemini CLI to turn a product spec sheet into a rich TwinGraph digital twin and publish it to Neo4j—all in a matter of minutes.
Lucid TC Unveils TwinGraph© SDK: Revolutionizing Digital Twins with In-Memory, Graph-Based, and Python Capabilities
Lucid TC Unveils TwinGraph© SDK: Revolutionizing Digital Twins with In-Memory, Graph-Based, and Python Capabilities
Mitigating Prediction Errors with TwinGraph SDK, Digital Twins, and Google Cloud
Mitigating Prediction Errors with TwinGraph SDK and Google Cloud Platform
Digital Twins & Systems Dynamics : Optimization Through Risk-Free Trials & Errors
Digital Twins & Systems Dynamics: Optimization Through Risk-Free Trials & Errors