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Iris.ai
Iris.ai provides an enterprise-grade AI platform designed for the development, operation, and scaling of Agentic RAG (Retrieval Augmented Generation) AI solutions.
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Our verdict
Who it's for
Connect, orchestrate, evaluate, and deploy Agentic RAG AI workflows in a single platform.
Who should look elsewhere
No explicit mention of a free trial or public pricing details, suggesting enterprise focus.
Pros
- +Significantly cuts R&D timelines (weeks to months saved)
- +Achieves high precision in data extraction (e.g., 94% for patents)
- +Accelerates competitive intelligence with faster data preparation (90% faster)
- +Unifies fragmented data for high contextual accuracy (e.g., 95% in customer query handling)
- +Reduces LLM usage costs by over 35%
Cons
- −No explicit mention of a free trial or public pricing details, suggesting enterprise focus.
- −Requires initial co-creation and enablement phases, indicating a significant setup process.
- −The complexity of Agentic RAG and LLM evaluation might require specialized internal teams.
Key features
- ✓Agentic RAG AI workflow development and operation
- ✓Unstructured data transformation (PDFs, reports, images, graphs, tables) into structured knowledge
- ✓Automated contextual chunking & indexing
- ✓Industry-specific schema templates (legal, patents, clinical trials, finance)
- ✓Seamless LLM integration for AI agents and RAG pipelines
- ✓Unified data access layer (connects to PDFs, databases, cloud apps, scanned files)
- ✓Reusable knowledge assets for future AI projects
- ✓Governed and compliant data layer
Pricing
No public pricing plans recorded.