Iris.ai

Iris.ai is an enterprise-grade AI platform specifically designed for building, managing, and monitoring Agentic RAG (Retrieval-Augmented Generation) workflows. It provides organizations with a cohesive environment to connect various AI components, orchestrate complex workflows, and deploy sophisticated AI systems that can process and analyze large volumes of proprietary data. The platform handles secure document ingestion, processing, and evaluation at scale, making it suitable for handling sensitive enterprise information.

The platform stands out by offering a complete development and operation environment specifically tailored for RAG systems. It includes tools for establishing custom evaluation frameworks, real-time performance monitoring, and comprehensive governance. Iris.ai claims significant results including 35%+ savings on LLM usage costs and 80% acceleration on AI go-to-market timelines, backed by their work with over 160 million securely ingested documents and evaluation of 200,000+ answers across 50+ use cases.

Iris.ai primarily benefits large enterprises and innovation teams across various industries including manufacturing, telecommunications, and public sector organizations. Real-world use cases include accelerating research and development timelines, optimizing intellectual property research processes, and quickly narrowing down relevant research papers across disciplines for time-sensitive projects. The platform is particularly valuable for organizations dealing with complex, domain-specific knowledge bases that require sophisticated AI-powered analysis and retrieval capabilities.