Leading digital analytics platform for product insights and customer journey analytics
Key facts
Pricing
Freemium
Use cases
Research and development teams seeking to optimize their internal processes by integrating the Axion neural search engine (verified: 2026-01-29), Enterprise developers building and deploying agentic RAG workflows within a single cohesive operation platform (verified: 2026-01-29), Data scientists requiring a custom evaluation framework to ingest data and monitor production-grade AI agents (verified: 2026-01-29)
Strengths
The platform provides a unified environment to connect, orchestrate, evaluate, and deploy agentic RAG AI workflows (verified: 2026-01-29), Users can access real-time monitoring dashboards to track the performance and governance of live AI agents (verified: 2026-01-29), The system supports the ingestion of over 160 million documents while maintaining enterprise-grade security standards (verified: 2026-01-29)
Limitations
Access to the platform and its specific features requires a formal request for a product demo (verified: 2026-01-29), Initial deployment of a production-grade AI agent requires a co-creation period of thirty to sixty days (verified: 2026-01-29)
Last verified
Jan 29, 2026
Strengths
- The platform provides a unified environment to connect, orchestrate, evaluate, and deploy agentic RAG AI workflows (verified: 2026-01-29)
- Users can access real-time monitoring dashboards to track the performance and governance of live AI agents (verified: 2026-01-29)
- The system supports the ingestion of over 160 million documents while maintaining enterprise-grade security standards (verified: 2026-01-29)
Limitations
- Access to the platform and its specific features requires a formal request for a product demo (verified: 2026-01-29)
- Initial deployment of a production-grade AI agent requires a co-creation period of thirty to sixty days (verified: 2026-01-29)
FAQ
What specific capabilities does the Iris.ai platform offer for enterprise-level AI development?
The platform functions as a development and operation environment where enterprises can build, manage, and monitor agentic RAG systems. It includes tools like Axion and Neuralith to help teams orchestrate workflows and evaluate AI performance across various use cases (verified: 2026-01-29).
How does the co-creation process work for teams starting with the Iris.ai platform?
The process begins with a thirty to sixty day co-creation phase where the Iris.ai expert team helps ingest data and establish a custom evaluation framework. This results in a production-grade AI agent and a real-time monitoring dashboard ready for deployment (verified: 2026-01-29).
What kind of performance improvements can organizations expect when using this AI retrieval platform?
Organizations using the platform have reported up to an eighty percent acceleration in AI go-to-market speed and approximately thirty-five percent savings on LLM usage costs. The system has evaluated over two hundred thousand answers across fifty different use cases (verified: 2026-01-29).
