proveai.com

What It Is

Prove AI is a GenAI telemetry and monitoring tool built for AI engineers. It is positioned not as a model invocation platform, but as observability infrastructure for production environments. It collects traces, logs, and metrics through OpenTelemetry, and brings metrics such as latency, throughput, error rate, token throughput, embedding service health, and retrieval pipeline health into a web interface, helping teams identify performance degradation and failures in GenAI applications more quickly.

Core Capabilities

Its main selling points are self-hosting and open standards. The page emphasizes that it can be deployed on your own servers or inside a VPC, with telemetry data staying within the user’s infrastructure. It is also based on OpenTelemetry, supports OTLP, and can connect to existing observability stacks such as Prometheus. Compared with closed observability platforms, it puts more emphasis on data control and avoiding vendor lock-in. Compared with manually building an OpenTelemetry/Grafana/Prometheus setup from scratch, it aims to reduce upfront configuration work and the cost of defining useful metrics.

Pricing and Trial

The page clearly states “SELF-HOSTED FREE TO DEPLOY” and mentions that it is MIT licensed, indicating that the self-hosted version can be deployed for free. However, the collected content does not disclose pricing for a hosted commercial version, enterprise support, SLAs, paid plugins, or consulting services, so the boundary between free and paid offerings remains unclear.

Pros and Cons

The main advantage is that it comes with observability dimensions that are more relevant to GenAI scenarios, such as tokens, embeddings, and retrieval pipelines, rather than only generic system metrics. It is also friendly to data privacy and compliance requirements, making it suitable for enterprise intranets or cloud VPC environments. The downside is that teams still need to understand OpenTelemetry, Prometheus, and self-hosted deployment, so the learning curve is relatively high for non-technical users. The page also does not provide Chinese-language support, customer case studies, or large-scale reliability data.

Who It’s For and Access from China

Prove AI is better suited to AI engineering teams that already have GenAI applications, want to retain control over telemetry data, and have infrastructure capabilities. Teams that simply want a quickly available hosted monitoring service may want to compare it with LangSmith, Langfuse, Helicone, Arize Phoenix, or Datadog LLM Observability. The page does not specify accessibility from mainland China. Since it offers downloads via GitHub, it can run on a local network after self-hosting, but access to the official website and GitHub, overseas payments, and the availability of commercial support still need to be verified in practice.