Confident AI vs Ragas
Confident AI
confident-ai.com
Ragas
ragas.ioSide by side
| Figure | Confident AI | Ragas |
|---|---|---|
| Price from | $200/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 0 |
| Spec score · LLM Evaluation Tools | 8.4 (#5) | 7.2 (#23) |
| Spec score · AI LLM Evaluation Tools | 8.5 (#11) | 7.2 (#26) |
| Spec score · LLM Observability Tools | 8.4 (#12) | 7.1 (#25) |
| Integrations | Confident AI offers Python and TypeScript SDKs, OpenTelemetry, and more than 20 framework and gateway integrations. | The documentation lists integrations with Arize, LangSmith, Amazon Bedrock, Google Gemini, OCI Gen AI, LangChain, LangGraph, LlamaIndex, and other frameworks. |
| Product | Confident AI is an AI Quality platform that provides development evaluations and production observability for reliable AI applications. | Ragas is a library for systematically evaluating large language model applications. |
| Security | The documentation states that Confident AI is HIPAA compliant, offers SSO and customizable roles and permissions, and supports self-hosted deployment. | The opened product and documentation pages did not state security certifications or compliance details. |
Plans
Confident AI
- FreeFree
- Starter$200 a month
- Team$2,000 a month
- EnterprisePriced on request
In their own words
Confident AI
Confident AI is an AI quality platform for evaluating applications during development and monitoring them in production. Teams can experiment with prompts, models, and parameters, run automated regression evaluations in CI/CD, and assess results with more than 50 metrics. Production tracing records inputs, outputs, latency, tokens, and execution spans, while live alerts indicate declining quality. Red-team testing addresses safety vulnerabilities and adversarial attacks. The platform supports Python and TypeScript SDKs, OpenTelemetry, and more than 20 framework and gateway integrations. APIs cover prompt versioning, dataset creation, trace ingestion, project provisioning, and governance policies. It is available through web and API access, or can be self-hosted in AWS, Azure, or GCP using Docker; setup typically takes 1–2 weeks. The free plan includes two seats, one project, five weekly test runs, and 1 GB-month of trace spans. Paid plans start at $200 a month.