Iris.ai is an enterprise AI development and operations platform built around Agentic RAG (retrieval-augmented generation) workflows. It structures unstructured enterprise data, such as PDFs, contracts, scientific literature, charts, and tables, into a machine-readable knowledge base that grounds generative AI outputs in verified internal facts.
The platform is organized into three product modules. Axion handles data extraction, turning documents and visuals into structured, indexed data. Neuralith provides RAG-as-a-service and deploys domain-specific AI agents. RSpace is a secure research platform built for R&D teams and scientific literature review.
The core problem Iris.ai addresses is why enterprise AI pilots stall: fragmented data and missing context cause standard LLMs to hallucinate or misread domain-specific documents. Iris.ai positions itself as a middle layer that ingests raw data, extracts context, and traces every AI output back to its source. Its architecture is model-agnostic, so customers are not locked into one LLM vendor.
Iris.ai reports having processed over 330 million documents for clients including ArcelorMittal, L’Oréal, Mercedes-Benz, Springer Nature, and the University of Oslo, and states it has reduced LLM usage costs by 35% or more while accelerating AI go-to-market timelines by up to 80% for some deployments. These figures are self-reported by the company rather than independently audited.
Pricing
Iris.ai does not publish exact prices for its Starter or Professional plans; both require a demo request. The Starter plan covers a one-time extraction of up to 10 documents with basic text and table extraction. The Professional plan covers up to 100,000 pages and 2 million credits, adding advanced table extraction, custom OCR, and translation across 68 languages. The Enterprise plan offers volume discounts of up to 50%, bringing per-page costs as low as €0.05, along with unlimited data volume and a dedicated customer success manager.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
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Multimodal extraction from PDFs, images, graphs, and tables
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Automated contextual chunking and metadata-enriched indexing
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Industry-specific schema templates for legal, patent, and clinical data
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RAG-as-a-service infrastructure for deploying custom AI agents
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Translation and custom OCR support across 68 languages
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Built-in evaluation, monitoring, and full source traceability
Use Cases
Global Patent Intelligence
Teams reviewing tens of thousands of patents across multiple languages use Axion to structure the material into a consistent, searchable format. ArcelorMittal used it to cut patent review time by 90% while reaching 94% extraction precision.
AI Contact Center Support
Telecom and support teams feed unified customer data into Neuralith’s agents to resolve complex queries. One telecom client reportedly unified fragmented data 5x faster and reached 95% contextual accuracy.
R&D Knowledge Base Automation
R&D teams centralize research, domain knowledge, and product manuals so AI agents can pull from technical literature directly. This is meant to speed up ideation and reduce hallucinated answers.
Compliance and Risk Review
Compliance teams track shifting regulations, standards, and vendor contracts through RAG agents. The agents review lengthy regulatory documents to flag obligations and risks, cutting the time spent skimming files.
Proposal and Tender Drafting
Business teams draft RFP responses using agents grounded in product specs, pricing rules, and past proposals. This is intended to shorten response cycle times for complex client requests.
Strengths & Weaknesses
Strengths
Real-world deployments benchmark extraction accuracy at 90% or higher.
A model-agnostic architecture avoids locking customers into one LLM vendor.
Built-in traceability, explainable reasoning paths, and ISO 27001 certification support compliance needs.
Handles hard-to-parse graphs, charts, and tables without manual reconciliation.
AI agents can update knowledge bases dynamically without heavy data migrations.
Weaknesses
Starter and Professional tier prices are not published on the website.
The Starter plan limits proof-of-concept testing to a one-time extraction of 10 documents.
Full 68-language translation and custom OCR are gated behind the Professional tier or higher.
There is no self-serve free trial; every plan starts with a requested demo.
Who Is This For?
Life sciences and pharma teams that need hallucination-free retrieval from clinical data and scientific literature.
Energy and asset-heavy industrials operationalizing decades of engineering documents, schematics, and maintenance records.
Professional services firms in legal, risk, and insurance turning siloed expertise into an auditable knowledge asset.
Telecommunications companies that need fast, standardized data ingestion to power customer support AI agents.
Frequently Asked Questions
What is Axion?
Axion is Iris.ai’s data extraction tool. It connects to multiple sources, processes formats like PDFs, Word docs, and scanned images, and outputs structured data ready for AI workflows.
Does Iris.ai use my data to train public models?
No. Iris.ai states that client data is never used to train general models and remains under the client’s control.
Can Axion process non-text formats like images and tables?
Yes. Axion extracts values, labels, and relationships from graphs and tables, and an image captioning feature generates descriptions for visuals.
What languages does Axion support?
Axion supports more than 68 languages, including Chinese, and offers technical documentation translation on the Professional plan and above.
How secure is the platform?
Iris.ai is ISO 27001-certified and GDPR-compliant, with role-based access control, encryption, full audit logging, and on-premise or private cloud deployment options.
Does the platform reduce AI hallucinations?
Iris.ai says it limits hallucinations by grounding AI outputs exclusively in verified enterprise sources and enforcing domain-specific semantics.
Is there a free trial?
No public free trial is listed. Every plan, including the entry-level Starter tier, requires requesting a demo first.
How does pricing scale from a small pilot to enterprise use?
Pricing moves from a one-time 10-document Starter extraction, to a Professional plan covering up to 100,000 pages, to Enterprise volume pricing as low as €0.05 per page.
Can Iris.ai connect to systems like SharePoint or S3?
Yes. Axion connects to SharePoint, Google Drive, and Amazon S3, and integrates with internal databases, CRMs, and BI tools through flexible APIs.
Iris.ai has a strategic infrastructure partnership with AWS. Axion connects to SharePoint, Google Drive, and Amazon S3 for document ingestion, and links to internal databases, CRMs, and BI tools through APIs. The platform also supports custom adapters for proprietary in-house LLMs, allowing enterprises to run their own models instead of public ones.