# Gruvo

> Gruvo is the managed AI execution layer for production applications, providing reliable multi-provider inference, observability, usage tracking, and cost control through one integration.

Gruvo sits between an application and AI model providers. Engineering teams keep using the providers they trust while Gruvo manages the operational layer around inference.

Key facts:

- Gruvo is built for engineering and platform teams operating production AI features.
- Core capabilities include retries, timeouts, rate-limit handling, provider health, fallbacks, streaming, observability, usage attribution, budgets, and execution optimization.
- Supported model ecosystems shown on the website include OpenAI, Anthropic, Google Gemini, DeepSeek, Kimi, Zhipu AI, Mistral, Qwen, xAI, and Groq.
- The company and product name is Gruvo. The canonical website is https://www.gruvo.xyz/.

## Primary

- [Gruvo overview](https://www.gruvo.xyz/index.md): Clean Markdown description of Gruvo, its capabilities, intended users, and provider integrations.
- [Gruvo website](https://www.gruvo.xyz/): Canonical human-readable product website.

## Official channels

- [Contact Gruvo](https://www.gruvo.xyz/#contact): Contact the Gruvo team about managed AI execution.
- [Gruvo on LinkedIn](https://www.linkedin.com/company/gruvohq): Official company profile.
- [Gruvo on X](https://x.com/gruvohq): Official Gruvo account.

## Optional

- [Provider integrations](https://www.gruvo.xyz/#models): Model-provider ecosystems presented by Gruvo.
- [Integration example](https://www.gruvo.xyz/#integration): Application integration overview.