AI Tool
RagaAI pricing, features, company info, and alternatives
A factual product page for RagaAI's AI testing and evaluation platform.
Last updated April 2026 ยท Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for RagaAI, last verified Apr 26, 2026.
Free Plan
$0
No credit card required; the public pricing page says it includes 10K monthly traces, 1 seat, 30 days of data retention, and SaaS deployment.
Enterprise Plan
Custom pricing
The pricing page says this plan includes unlimited traces, unlimited seats, unlimited data retention, and SaaS plus on-prem deployment.
Premium Plan
Custom pricing
Public pricing materials surface a separate Premium plan, but they do not clearly explain how it differs from Enterprise.
What You Can Do With It
The main capabilities that shape how people use RagaAI today.
Catalyst is described as an automated test-and-fix platform for LLM applications with tracing, evaluations, prompt management, and guardrails.
Prism covers computer vision workflows, and the main docs also surface Neo for agentic AI systems.
The platform supports synthetic data generation and custom metrics, with some advanced capabilities reserved for enterprise customers.
Enterprise pricing includes both SaaS and on-prem deployment options.
Best For
Who RagaAI is most clearly built for.
AI teams that need evaluation, tracing, and guardrails in one platform.
Organizations that want a public free tier and a path to enterprise deployment.
Teams building LLM, agentic, or computer vision workflows that need a specialized testing stack.
Company
Leadership and company context for RagaAI Inc..
CEO
Gaurav Agarwal
Founders
Gaurav Agarwal
Headquarters
691 S Milpitas Blvd, Suite 217, Milpitas, CA 95035, United States
Platforms
Where you can use RagaAI today.
Web
Python SDK
On-prem deployment
Privacy Notes
Publicly stated data-handling notes that matter when evaluating RagaAI.
The privacy policy says RagaAI collects only the minimum data needed to provide services.
The privacy policy says it does not rent, sell, disclose, or share collected information except to provide the service and as required by law, though it may use third-party service providers.
Access
How to integrate or build around RagaAI.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside RagaAI.
Open-source LLM engineering platform for tracing, prompt management, evaluations, and analytics.
Open-source AI observability and evaluation platform for tracing, prompt iteration, and experiments.
AI agent testing and LLM evaluation platform for observability, prompt management, simulations, and guardrails.
Open-source LLM observability, evaluation, and optimization platform from Comet.
Product Snapshot
RagaAI is an AI testing and evaluation platform from RagaAI Inc. Its public docs surface Catalyst for LLM applications, Neo for agentic AI systems, and Prism for computer vision workflows.
What You Can Do With It
- Run evaluations, traces, and guardrails for LLM, RAG, and agentic workflows through Catalyst.
- Use Prism for computer vision testing and related multimodal validation workflows.
- Generate synthetic data, define custom metrics, and use prompt and dataset workflows in the platform.
- Access the product through a web interface and Python SDK, with on-prem deployment available on enterprise plans.
Why It Stands Out
RagaAI combines evaluation, observability, and guardrails across several AI workload types, and its public pricing includes a free plan plus custom-priced enterprise and premium options.
Tradeoffs To Know
- Public materials reviewed here do not clearly publish a single launch year.
- The platform is aimed at AI engineering workflows, so it is more specialized than general-purpose chat assistants.
- Some advanced capabilities, including synthetic data generation, are enterprise-only.
Sources
- raga.ai/pricing
- raga.ai/privacy-policy
- raga.ai/resources/events/the-5-secret-multi-agent-systems-that-scale-from-poc-to-production
- raga.ai/events/from-manual-to-magical-how-ai-agents-are-redefining-the-future-of-hr
- docs.raga.ai
- docs.raga.ai/ragaai-catalyst
- docs.raga.ai/ragaai-prism
- docs.raga.ai/ragaai-catalyst/synthetic-data-generation
- docs.raga.ai/ragaai-catalyst/guardrails/python-sdk
- docs.raga.ai/ragaai-catalyst/agentic-testing/quickstart
- docs.raga.ai/ragaai-catalyst/concepts/configure-your-api-keys