cofounder@vivgrid

github

Yona Cao  • Peerlist

Vivgrid is a platform designed to help developers and startups build, test, and deploy AI agents with precision and confidence. It offers a suite of features including AI observability, debugging, evaluation, testing, and deployment. With a globally distributed inference infrastructure, Vivgrid ensures low latency and reliable scale, allowing you to focus on mastering the right mental model to ship resilient AI systems.<h3>Key Features</h3><ul><li>Observe &amp; Debug AI Agents: Gain full observability into prompts, API calls, memory fetches, and tool usage. Track agent reasoning chains to understand why agents succeed or fail, and debug errors faster with step-by-step visibility.</li><li>Evaluate &amp; Guard Your AI Systems: Automate performance scoring and quality checks. Run human-in-the-loop evaluations before production and enforce safety guardrails like refusal rules and content filters.</li><li>Orchestrate Multi-Agent Systems &amp; Memory: Orchestrate multi-agent workflows and add context-aware memory retrieval so agents can remember and reason. Design intelligent systems that route tasks dynamically.</li><li>Deploy &amp; Monitor AI Agents Globally: Deploy AI agents on Vivgrid’s global GPU network with less than 50 ms inference. Track latency, cost, and usage metrics in real time, and monitor live agent behavior to ship with confidence.</li></ul>Join Vivgrid Early Access and receive $200 in free credits to accelerate your journey from prototype to production, safely and confidently.