Iris AI

How can your enterprise transform unstructured data into AI-ready insights 60x faster?

4.0Iris.ai offers a robust, enterprise-grade AI platform for transforming complex unstructured data into structured, AI-ready knowledge, specifically designed for R&D, knowledge management, and scaling agentic RAG AI workflows.

Iris.ai provides an AI development and operations platform designed to help enterprises connect, orchestrate, evaluate, and deploy Agentic RAG AI workflows. It aims to deliver speed, control for compliance, and flexibility for growth.

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Ratings
Features
5.0
Ease of Use
4.0
Value for Money
4.0
Support
4.0
Overall
4.0
Key Features:
  • Axion™: AI-powered data extraction and structuring from diverse formats (PDFs, images, graphs, tables) into machine-readable knowledge.
  • RSpace™: AI-based platform with tools (Explore, Analyze, Filter, Summarize, Extract, Chat) to accelerate literature discovery and knowledge processing.
  • Neuralith™: Agentic AI workflows for seamless information retrieval and action on structured data.
  • Automated Contextual Chunking & Indexing: Breaks documents into retrievable segments with enriched metadata for higher accuracy.
  • Industry-Specific Schema Templates: Prebuilt data structures for legal contracts, patents, clinical trials, financial statements, and more.
Pros
  • Research and Development teams needing to streamline literature reviews and patent monitoring.
  • Enterprises looking to transform decades of internal unstructured documents into actionable insights.
  • AI application developers who need a production-ready RAG system for scaling to massive datasets with speed and security.
Cons
  • Currently, the machine primarily works in English, with other languages implemented in specific cases.
  • The accuracy of tools may decrease when working with content further away from 'pure' scientific language.
  • Some advanced features and custom integrations might require enterprise-level plans and dedicated engineering support.
Pricing
paidFree tier
Starting at:€0.05 per page (Enterprise volume discount)
Free tier:10-day free trial for premium subscription plans.
Plans
  • Starter: One-time extraction of up to 10 documents, basic text & table extraction, single index schema.
  • Professional: Up to 100k pages (2 million credits), advanced table & metadata extraction, expert-level agents, multiple index schemas, custom ODL & OCR, technical documentation translation (68 languages).
  • Enterprise: Up to 50% volume discount (€0.05 per page), unlimited data volume, advanced governance & compliance, integrated evaluation & monitoring, dedicated customer success manager, custom model adapters.
Trial:10 days free trial for premium plans, automatically charged after trial unless canceled.
Categories:
AI Development PlatformKnowledge ManagementResearch & DevelopmentData ExtractionRAG Systems
Tags:
enterprise AIagentic AIRAGunstructured datascientific researchpatent analysisliterature reviewdata structuringAI operationscompliancemultimodal AI
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Quick Decision
Try if: You are an enterprise or R&D team dealing with large volumes of complex, unstructured scientific or technical data and need to transform it into actionable, AI-ready insights with high precision and compliance.
Skip if: You are looking for a simple, free, or low-cost tool for general text summarization or basic keyword search, or if your primary data is not scientific/technical in nature.
Trust Signals

  • Team Size

    medium
Compliance
ISO 27001-certifiedGDPR-compliant
Notable Customers
ArcelorMittalThe Finnish Food Authority
Tech Details
Platforms
webapi
Integrations
Google DriveDropboxMicrosoft SharePoint

  • AI Model

    LLM and multiple other AI/ML approaches, in-house and modified/fine-tuned open source models.
Open Source
No
Support
Channels
emailhelp centerwebinars

  • Response Time

    Email replies fast
Company

  • Name

    Iris AI AS

  • Location

    Bærum municipality, Stabekk region 1368, Michelets vei 54B, Kingdom of Norway

Iris.ai is an AI development and operations platform, built to help enterprises connect, orchestrate, evaluate, and deploy Agentic RAG AI workflows with speed and confidence. They are known for delivering solutions with speed, scale, and precision, and are committed to advancing the AI field through research and community contributions.

FAQ

How is the Researcher Workspace different from other tools available online?

The Researcher Workspace is an AI-based research platform offering an all-in-one approach for interdisciplinary search, filtering, summarizing, and data extraction. It uses AI models to understand context, unlike keyword-based search engines, allowing it to find more relevant scientific articles.

What types of content do the tools work with and what languages are supported?

The tools work primarily with documents of scientific language, including PDFs, Word, PowerPoint, and text files. They support 68+ languages for Axion™ and primarily English for the Researcher Workspace, though non-English scientific articles with English abstracts are also processed.

How does Iris.ai ensure data security and compliance?

Security is built-in; data is never used to train general models and always remains with the client. Iris.ai is ISO 27001-certified, GDPR-compliant, and supports on-premise or private cloud deployment with encryption, role-based access control, and full audit logging.

What is the difference between an abstract and Iris.ai's summary?

Iris.ai uses abstractive summarization, meaning the tool captures the context of the text and writes its own summary, often containing new phrases and sentences not directly from the source. This differs from extractive summaries (like highlighting) and is not biased by the authors, unlike an article's abstract.

Can Axion™ handle non-text formats like images, graphs, and tables?

Yes, Axion™ extracts data from non-text formats, including images, graphs, and tables. It features image captioning for detailed descriptions and advanced table/graph extraction to retrieve values, labels, and relationships, ensuring complete data accessibility for AI workflows.

Use Cases
  • Research and Development teams needing to streamline literature reviews and patent monitoring.
  • Enterprises looking to transform decades of internal unstructured documents into actionable insights.
  • AI application developers who need a production-ready RAG system for scaling to massive datasets with speed and security.
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