Why We're Going All-In on the Model Context Protocol
MCP is the missing infrastructure layer between AI models and the real world. Here's why GVN is making it a core competency.
Insights & Research
The GVN Blog
AI research, engineering insights, MCP development updates, and technical deep-dives.
Mechanistic Interpretability: Beyond the Black Box
Understanding what neural networks actually learn — and why it matters for building AI systems you can trust.
Building 988 Crisis Lifeline Technology: Engineering for Lives
How GVN approaches the engineering challenges of healthcare systems where reliability isn't optional — it's life-critical.
AI Architecture: From Prototype to Production
The gap between a working AI demo and a production AI system is enormous. Here's how we bridge it.
Live Development: Why We Stream Our Research
Radical transparency isn't just a value — it's how we build trust, accountability, and better technology.