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Iris.ai
Best for enterprises
Agentic RAG platform
Data structuring AI
Research automation
High precision extraction
Secure & compliant
AI Knowledge Foundation for Regulated Enterprises
Last updated: May 16, 2026
ENTERPRISE
iris.ai
Quick Answer
Iris Research Agent is an AI development and operations platform that unifies complex enterprise data to empower next-gen AI agents and applications. It transforms unstructured data into AI-ready insights, supporting agentic RAG systems with high precision and compliance. Best for regulated enterprises and AI application developers. Offers flexible plans from one-off extractions to enterprise deployments.
About Iris.ai
Iris.ai is an AI development and operations platform for regulated enterprises, designed to build, manage, and monitor Agentic RAG systems. It transforms complex, unstructured data into AI-ready insights, empowering next-gen AI agents and applications. The platform offers speed, control, and flexibility for innovation, compliance, and growth.
What Makes It Unique
Iris.ai provides one cohesive AI development and operation platform for building, managing, and monitoring Agentic RAG systems that last. It is ISO 27001-certified and GDPR-compliant, ensuring data security and privacy for enterprise-grade deployments, including on-premise options.
AI-extracted from public sources. May contain errors. Methodology · Are you Iris.ai? Claim listing
Use Cases & Target Users
Best For
Augmenting expert knowledge for regulated enterprises
Optimizing literature review processes for R&D teams
Transforming unstructured data into AI-ready insights
Building and scaling Agentic RAG systems for AI application developers
Accelerating competitive intelligence with faster data preparation
Company Size
MEDIUM
ENTERPRISE
Fit Score
Complexity
Advanced
Target Team Size
LARGE_TEAM
Target Skill Level
EXPERT
Key Features
Unified Data Access Layer for diverse sources (PDFs, databases, cloud apps, scanned files)
Automated Contextual Chunking & Indexing with metadata enrichment
Industry-Specific Schema Templates for various domains (legal, patents, clinical trials, financial)
Seamless LLM Integration for AI agents and RAG pipelines
Eliminates manual data preparation workarounds (copy-paste, regex, OCR fixes)
Reusable Knowledge Assets for future AI projects
Technical Specifications
API Available
SDK Available
MCP Compatible
Open Source
Team Features
SSO/Enterprise
Webhook Support
Has Demo
Function Calling
Browser Extension
Sandbox Mode
Audit Logs
Free Plan
No Signup
Works Offline
Requires Host App
Framework
MCP Server
IDE Plugin
Inference API
SCIM Provisioning
Developer Access
API
ENTERPRISE
SDK
Deployment:
HYBRID
Uses models:1
Compliance, Privacy & Trust
GDPR (as claimed): Yes
SOC 2 (as claimed): No
HIPAA (as claimed): No
Trains on user data: No
Pros
- +Transforms unstructured data into structured, machine-readable knowledge up to 60x faster
- +Achieves 90%+ precision in data extraction across diverse formats
- +Reduces LLM usage costs by 35%+
- +Accelerates AI go-to-market by 80%+
- +Supports 68+ languages and various document types (PDFs, Word, Excel, images, graphs)
- +Offers flexible deployment options including API, cloud, and on-premise
- +ISO 27001-certified and GDPR-compliant for robust security and privacy
Limitations
- -Primarily designed for enterprises, potentially complex for individual users or small teams
- -Requires significant data ingestion and setup for optimal performance
- -Pricing is tailored for enterprise-grade solutions, not suitable for casual use
- -No explicit visual builder for non-technical users, requiring some technical expertise
- -No explicit mention of SOC 2 Type II certification
Powered By
Base Models
Agentic RAG AI workflows
Uses Models
Agentic RAG AI workflows
Decision Intelligence
Best For
Augmenting expert knowledge for regulated enterprises
Optimizing literature review processes for R&D teams
Transforming unstructured data into AI-ready insights
Building and scaling Agentic RAG systems for AI application developers
Accelerating competitive intelligence with faster data preparation
Not Ideal For
Individuals or small teams needing simple, off-the-shelf AI agents
Users without complex, unstructured data challenges
Projects not requiring enterprise-grade security or compliance
Non-technical users looking for a no-code solution
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use4/10
Output Quality8/10
Value for Money7/10
Customization5/10
Support6/10
Integration7/10
Task Scores
Data Extraction
9
Literature Search
8
Knowledge Synthesis
8
Paper Summarization
7
Cross Reference
7
Hypothesis Generation
5
Methodology Guidance
4
Citation Management
3
Trust Score
52/100
Limited Data
Based on 7 data signals
Reflects publicly available data, not an independent audit
Social Proof10/40
Customers (per vendor website)ArcelorMittal, Mercedes-Benz, Syngenta +1
Company Strength25/25
Team Size11-50
Funding$24.1M
Company ListedIris AI AS
Operational Trust12/20
Uptime SLA99.99%
Data ResidencyUK-hosted data, customer's own warehouse (data stays in your environment)
Compliance5/15
GDPR (as claimed)Yes
Switching & Migration
Migration Difficulty
Significant Effort
Data portable as:
PDF
CSV
RIS
BIBTEX
Email only (fast reply), Dedicated customer success manager (Enterprise), Dedicated forward-deployed engineers (Professional)
Quick Stats
CategoryResearch
PlatformsWEB, API, CLI
Integrations8+
Views14
LaunchedFeb 2016
Setup Time30-90 days
AddedMar 2026
Company & Links
