We're building a way for AI models to connect to any device and run real experiments.

A platform is being developed to enable AI models to directly connect to and control physical devices, eliminating the need for manual device integration. This allows AI systems to run real experiments autonomously by communicating with hardware without requiring custom middleware or manual setup. The solution addresses a major bottleneck where scientists waste time configuring device communication protocols.

Key Points

• •AI models currently cannot directly interface with physical devices without custom integration work
• •Scientists spend significant time on device-to-device communication setup rather than actual research
• •The platform enables direct AI-to-device connectivity, reducing integration overhead
• •AI systems can autonomously run experiments by controlling hardware in real-time
• •Standardized device communication eliminates the need for custom middleware for each device
• •This approach accelerates scientific research by automating the experimental workflow
• •The solution supports heterogeneous device ecosystems with different communication protocols

Workflow Diagram

Concepts