Iris.ai: AI Development Platform for Enterprise Data
Iris.ai helps enterprises transform complex documents into machine-readable data. It is designed for regulated industries that need to maintain compliance while deploying AI workflows.
At a glance
- Best for
- Enterprise companies, Regulated industries, AI application developers
- Pricing
- Pricing is available in Starter, Professional, and Enterprise tiers, with Enterprise pricing starting as low as €0.05 per page.
- Key use cases
- Structuring Unstructured Enterprise Data, R&D Literature and Patent Review, Building Agentic RAG Systems, Knowledge Management for Regulated Sectors
- Integrations
- SharePoint, Google Drive, S3, API
- Official website
- Visit Iris.ai official website
Iris.ai is an AI development and operations platform designed to help enterprises manage the transition from unstructured data to active AI agents. The platform supports building, managing, and monitoring Agentic RAG (Retrieval-Augmented Generation) systems, utilizing a suite of products including Axion for extraction and Neuralith for workflows.
It is designed for organizations in regulated sectors such as manufacturing, telecommunications, and the public sector. The platform helps these teams handle datasets—including PDFs, reports, and patents—and converts them into structured formats for use by AI models.
Users can ingest various file types, apply industry-specific schemas, and integrate their own LLMs. The system is ISO 27001-certified and GDPR-compliant, which is intended for companies with strict data privacy requirements.
Buyers should confirm the implementation timeline, as the provider outlines a phased approach involving co-creation and enablement that can span several months.
Key Features
Automated Contextual Chunking
Breaks documents into retrievable segments and enriches them with metadata to support AI retrieval.
Multi-Format Data Extraction
Transforms unstructured data from PDFs, reports, images, graphs, and tables into machine-readable knowledge.
Industry-Specific Schema Templates
Provides prebuilt data structures for domains such as legal contracts, patents, and financial statements.
LLM Integration and Evaluation
Supports the integration of proprietary in-house LLMs and provides frameworks to monitor AI performance.
Multilingual Support
Supports data processing and technical documentation translation for 68+ languages.
Compliance Frameworks
Maintains ISO 27001 certification and GDPR compliance for data handling.
Use Cases
Structuring Unstructured Enterprise Data
Converting fragmented files, including PDFs and slide decks, into a unified data layer for AI agents.
R&D Literature and Patent Review
Supporting research teams in monitoring published papers and patents to reduce manual review effort.
Building Agentic RAG Systems
Deploying and monitoring AI workflows that retrieve and act on enterprise-specific knowledge.
Knowledge Management for Regulated Sectors
Creating secure, indexed knowledge bases for use in manufacturing or public sector operations.
Best For
- Enterprise companies
- Regulated industries
- AI application developers
Integrations
- SharePoint
- Google Drive
- S3
- API
Pricing
Pricing is available in Starter, Professional, and Enterprise tiers, with Enterprise pricing starting as low as €0.05 per page.
FAQ
What does Iris.ai do?
- Iris.ai transforms unstructured data—such as PDFs, reports, images, and tables—into structured, machine-readable knowledge that can be used to power AI agents and RAG systems.
Who is the ideal buyer for Iris.ai?
- The platform is designed for enterprises, particularly those in regulated sectors like manufacturing, telecommunications, and the public sector.
How is Iris.ai priced?
- Iris.ai offers Starter, Professional, and Enterprise plans, with the Enterprise tier starting at €0.05 per page.
Does Iris.ai support non-English languages?
- Yes, the platform supports over 68 languages, including Chinese.
Source category: Software Development
Source subcategory: AI Development Platform
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Software Type
How AI is used
Iris.ai is an AI development platform for enterprises that converts unstructured data from PDFs and images into structured knowledge for Agentic RAG systems. It is designed for regulated industries and supports 68+ languages. Buyers should consider the phased implementation timeline when planning deployment.
Pros & Cons
Pros
- Focus on data privacy with ISO 27001 and GDPR compliance
- Ability to extract data from visual elements like graphs and tables
- Supports a wide range of languages for global operations
- Offers deployment options including on-premise and private cloud
Cons
- The implementation process involves a multi-month commitment for full enablement
- Designed primarily for enterprise-scale needs
