Vivgrid

About Vivgrid

Vivgrid is a managed skills platform for production AI agents, and its central architectural claim is decoupling: system prompts, model selection and tool definitions live server-side rather than shipped inside the client, so changing an agent's behaviour is a configuration update measured in minutes instead of a release cycle and an app-store review. Tools execute as serverless LLM function calls in the cloud, which means API keys and credentials stay in the operator's own cloud rather than being embedded in a distributed client, and a skill updated once propagates to every agent everywhere immediately. Memory is scoped to agents and organisations rather than only to individual users, which matches how a business actually needs recall to work. Around that sit the two capabilities that make the difference between a prototype and something you would put revenue behind: full tracing, where every prompt, tool call and decision is visible in one place so a failed conversation can be traced to the exact step that lost the customer, and pre-release evaluation with guardrails that catch regressions and off-policy behaviour before a customer sees them. Inference runs on a globally distributed GPU network with roughly 50 ms latency, quoted at 22 ms in Paris, 30 ms in Tokyo and 35 ms in Los Angeles.

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