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 Twin Consortium Welcomes Lucid TC as Member
Digital Twin Consortium Welcomes Lucid TC as Member
Digital Twins & Systems Dynamics : Optimization Through Risk-Free Trials & Errors
Digital Twins & Systems Dynamics: Optimization Through Risk-Free Trials & Errors