Vivgrid

Vivgrid is an infrastructure platform for teams building AI agents. It covers the full development lifecycle in one environment: observability, debugging, evaluation, testing, safety guardrails, and global deployment. The pitch is consolidation. Most agent stacks require separate tools for each of those layers; Vivgrid treats them as a single integrated system.

The observability layer gives you visibility into every prompt, API call, memory operation, and tool use your agents make. Debugging goes step by step through agent reasoning chains, which is more useful than sifting through logs after the fact. Automated performance scoring handles quality assurance, and human review workflows are available for cases where automated scoring isn't sufficient.

Safety guardrails are built in rather than bolted on. Refusal rules and content filtering can be configured without external tooling, which matters more as agent systems become more autonomous.

On the deployment side, Vivgrid runs a globally distributed GPU inference network with under 50ms latency across major regions. The platform supports multi-agent orchestration with stateful memory and works with multiple LLMs including GPT-4.1, Gemini 2.5, DeepSeek, Claude, Groq, and Cerebras.

The free tier covers unlimited LLM requests at modest rate limits with access to core models and one day of API log retention. The Growth plan expands model access considerably, raises rate limits significantly, and extends log retention to 90 days. Vivgrid is also available on the Microsoft Azure Marketplace, which suggests it's targeting teams operating within enterprise procurement workflows.

It's a relatively new product with limited public review data so far, and pricing beyond the Growth tier isn't publicly listed. For developers building agent systems who are tired of assembling their own observability and deployment stack, it addresses a real gap with a coherent end to end approach.