What Iris.ai does

Iris.ai is a Norwegian AI company founded in 2015 in Oslo that builds an AI knowledge foundation platform for regulated enterprises. Its core proposition is unifying complex, unstructured enterprise data (scientific papers, patents, technical reports, engineering specifications) and serving it to AI agents and applications with the accuracy and compliance posture required by financial services, government, life sciences, and R&D-intensive customers. The company has processed 330M+ documents across 68 languages and 50+ data source types, reporting 96%+ accuracy aligned to GDPR, EU AI Act, DORA, and ISO 27001 requirements.

The platform is built around three branded products: Axion™ (data unification engine that contextualizes multi-format, multi-language documents), Neuralith™ (agentic workflow platform orchestrating multiple AI agents with built-in AgentOps and LLM evaluation), and RSpace™ (precision research workspace for literature discovery, patent analysis, data extraction, and summarization). These are unified by a Multi-RAG architecture that dynamically selects among vector search, knowledge graphs, semantic search, metadata retrieval, and keyword search through specialized agents. The Multi-RAG API, launched in February 2025, exposes the retrieval layer as a cloud-agnostic service deployable on public cloud, VPC, or on-premise.

Revenue is generated through enterprise SaaS licensing (quote-based, annual), individual premium subscriptions (with a 50% student discount), and academic/institutional licensing. The go-to-market combines direct enterprise field sales targeting regulated industries, a flagship distribution collaboration with AWS for global reach, and self-serve PLG for individual researchers. Named customers include ArcelorMittal, L'Oréal, Mercedes-Benz, Springer Nature, Syngenta, McCain, USDA, NATO Communications and Information Agency, Finnish Food Authority, and Yettel Hungary, alongside academic users at the University of Helsinki, Tomas Bata University, University of Oslo, and Max Planck Gesellschaft. The company has raised approximately $28.6M cumulative, including two EIC grants (~$15.5M in 2023) and an $8.25M round in May 2024 led by Silverline Capital with EIC Accelerator co-investment. Recent leadership additions (CRO Steven K Fung from AWS in 2025, CMO Liana Hakobyan in 2026) signal preparation for an enterprise scaling phase.

Name

Iris.ai

Legal name

IRIS AI AS

Website

https://iris.ai

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

11–50 employees

Short description

Iris.ai is a Norwegian AI company, founded in 2015, that builds a regulated-enterprise AI knowledge foundation platform (Axion, Neuralith, RSpace, Multi-RAG API) unifying 330M+ documents across 68 languages to power retrieval, extraction, and agentic workflows for financial services, government, R&D, and academic customers globally.

Ownership category

akta.pro rank

Product category

AI Knowledge Management

NAICS

Computer Systems Design Services (541512), Custom Computer Programming Services (541511)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)

akta.pro secondary industries

Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ), Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE), AI/ML Engineering & Model Development Services (BPAEAHAF)

Keywords

• AI knowledge management
• Enterprise RAG systems
• Scientific literature analysis
• Agentic AI workflows
• Regulatory compliance AI

Headquarters

HQ city

Oslo

HQ country

Norway

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure

Revenue model

1. Enterprise SaaS Licensing: Enterprise customers license the platform for research, knowledge management, and AI workflow automation. Pricing varies by organization size and use case scope.
2. Individual Premium Subscription: Premium individual subscription with access to 200M+ open access research papers, CORDIS database, and advanced features. Student discounts available (50% off).
3. Academic/Institutional Licensing: University site licenses for research and academic use. University of Helsinki and Tomas Bata University partnerships demonstrate this model.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels8 records

Core offering

Iris.ai builds an AI knowledge foundation platform for regulated enterprises, comprising three core products: Axion™ (data unification engine that processes complex enterprise documents across 68 languages and 50+ data source types), Neuralith™ (enterprise knowledge AI engine that orchestrates multi-agent agentic RAG workflows), and RSpace™ (precision intelligence workspace for literature discovery, patent analysis, and data extraction). The platform delivers 96%+ accuracy aligned to GDPR, EU AI Act, DORA, and ISO 27001 compliance requirements, and is also offered as a cloud-agnostic Multi-RAG API.

Product overview

Iris.ai is an AI knowledge foundation platform for regulated enterprises, offering a modular product architecture comprising three core products. Axion™ serves as the data unification engine for processing complex enterprise documents. RSpace™ functions as the research workspace for literature discovery, patent analysis, and data extraction. Neuralith™ provides the agentic RAG system for orchestrating AI agents and enterprise knowledge workflows. The Multi-RAG API extends these capabilities as a cloud-agnostic service offering. The platform processes over 330 million documents across 68 languages and 50+ data source types.

Differentiator

Problem solved

Functional benefit

Brands

• Axion: Data unification engine that processes and contextualizes enterprise documents across multiple languages and data source types.
• Neuralith
• RSpace

Products and services

• Axion™ Data unification engine that processes and contextualizes enterprise documents across multiple data source types, languages, and formats. Delivers AI-ready intelligence from complex, unstructured data with 96%+ accuracy aligned to regulatory compliance requirements (GDPR, EU AI Act, ISO 27001). Targeted at regulated enterprises needing to make dark data accessible to AI agents.
• Neuralith™ Enterprise knowledge platform that transforms internal knowledge into an AI Engine for agentic workflows. Orchestrates multiple AI agents for data retrieval, query routing, and LLM evaluation with built-in AgentOps infrastructure for monitoring, optimization, and compliance. Delivers 80% faster AI delivery and 35%+ LLM cost reduction for enterprise customers.
• RSpace™ Precision intelligence workspace for complex R&D workflows. Provides tools for literature search, patent analysis, data extraction, document summarization, and collaborative research management across scientific and technical domains. Access to 200M+ open access research papers including Core.ac.uk, PubMed, arXiv, and CORDIS databases. Used by universities, R&D teams, and individual researchers.
• Multi-RAG API Retrieval-Augmented Generation system available as a cloud-agnostic API service. Combines multiple retrieval methods including vector search, knowledge graphs, semantic retrieval, and metadata retrieval for high-accuracy enterprise knowledge retrieval. Supports data ingestion and indexing, query processing with dynamic retrieval method selection, and options for raw document retrieval or AI-generated responses. Targets enterprises needing programmable knowledge retrieval.

Quantifiable outcome

• 95% reduction in literature review timelines (months to days)
• +5 more outcomes

Named customers15 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability9 records

Feature6 records

Partnerships

Five partnerships are on record, tiered flagship and core.

• Amazon Web Services (AWS)flagshipTechnology or Integration · 10 July 2026Strategic collaboration to bring trusted AI knowledge foundation to regulated industries globally. AWS powers compute and models; Iris.ai powers the knowledge layer. Iris.ai expands deployments in KSA, North America, and Europe with AWS infrastructure.
• Yettel HungarycoreStrategic or Co-development PartnerAI transformation of customer care using Neuralith agentic RAG modules. Partnership delivers working solution in weeks with 80% faster AI delivery and 35%+ LLM cost reduction.
• MateriomcoreStrategic or Co-development PartnerCollaboration to extract, link, and systematize data on biomaterial development. Pooling world's data on biomaterials and making it useful for entrepreneurs and R&D teams.
• University of HelsinkicoreStrategic or Co-development PartnerFourth year of collaboration providing AI-powered tools for effective literature discovery and review. Helsinki University Library acts as innovation hub for AI literacy.
• Tomas Bata UniversitycoreStrategic or Co-development PartnerFirst institution in Czech Republic to integrate RSpace. Acquired license in March 2024 for AI-powered research innovation.

Scale indicators8 records

Recent moves6 records

Expansion highlights8 records

Direct peers

• Glean Technologies: Enterprise AI search and knowledge platform delivering RAG-powered assistants across corporate data sources. Competes head-on with Iris.ai's Multi-RAG and Neuralith stack for regulated-buyer mindshare and budget.
• Hebbia: AI knowledge-worker platform that ingests and reasons over enterprise documents for financial-services and professional-services workflows. Directly comparable on enterprise RAG, document understanding, and regulated-industry GTM.
• Sinequa: Enterprise search and RAG platform with strong presence in regulated industries (life sciences, financial services, defense). Closely comparable on vector + LLM retrieval and compliance-oriented deployments.
• Coveo: AI relevance and enterprise-search platform combining vector search, LLMs, and knowledge retrieval for customer-service and workplace use cases. Overlaps Iris.ai's Neuralith agentic-RAG and AI-for-knowledge positioning.

Broad incumbents

• Microsoft Copilot: Broad incumbent offering enterprise AI assistants and Copilot for Microsoft 365 / Dynamics. Sets baseline buyer expectations on retrieval, compliance, and integration depth that Iris.ai must differentiate against.
• Palantir Technologies: Enterprise AI/data platform serving regulated and government customers with ontology-driven AI applications. Competes for the same regulated-buyer budgets and credibility on EU AI Act and DORA readiness.
• Elastic: Search and AI platform with Elasticsearch at its core, increasingly positioning hybrid retrieval for generative AI workloads. Establishes the developer- and platform-level baseline against which Iris.ai's Multi-RAG is evaluated.

Emerging players

• Box (Box AI): Enterprise content-management vendor layering AI summarization, extraction, and Q&A over enterprise documents. Targets similar regulated buyer pain points and competes for document-AI budget.
• Sana Labs: AI knowledge and learning platform for enterprises, with retrieval and Q&A over internal knowledge bases. Overlaps Iris.ai's Neuralith and RSpace use cases, particularly in regulated enterprise knowledge management.
• Coda: Collaborative productivity platform with Coda Brain and AI agents for enterprise knowledge access. Competes for the same end-user surface of AI-powered knowledge retrieval inside regulated enterprises.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/theirisai
• YouTubeyoutube.com/channel/UCZFqCBxJ7_UGLjqrZK2oEtw/videos
• Facebookfacebook.com/theirisai
• LinkedInlinkedin.com/company/iris-ai

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds11 records

Investors12 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Iris.ai