Iris Research Agent
Best for enterprises
Agentic RAG platform
Data structuring AI
Research automation
High precision extraction
Secure & compliant
AI Knowledge Foundation for Regulated Enterprises
Workflow
Research
Agentic RAG AI workflows
ENTERPRISE
ADVANCED Complexity
HYBRID
Last updated: Mar 30, 2026
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.
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
Fit Score
Complexity
ADVANCED
Company Size
MEDIUM
ENTERPRISE
Team Size
LARGE_TEAM
Skill Level
EXPERT
About Iris Research Agent
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 Iris Research Agent 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.
Capabilities
Transforms unstructured data into structured, machine-readable knowledge
Automated contextual chunking and indexing with metadata
Extracts data from PDFs, Word, Excel, PowerPoint, plain text, HTML, images, graphs, tables
Supports 68+ languages for data processing
Integrates with LLM agents and RAG pipelines
Provides industry-specific schema templates
Offers a unified data access layer from various sources (databases, cloud apps, scanned files)
Continuous optimization loop with integrated evaluation metrics
Task Categories
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
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
80/100
Very Good
Based on 8 verified signals
Trust Signals
Verified CompanyIris AI AS
Notable CustomersArcelorMittal, Mercedes-Benz, Syngenta +1
User Base<1K
Funding$24.1M
Team Size11-50
Uptime SLA99.99%
GDPR CompliantYes
Data ResidencyUK-hosted data, customer's own warehouse (data stays in your environment)
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
Agent TypeWorkflow
Memorylong term
Planningadvanced
CategoryResearch
PlatformsWEB, API, CLI
Views3
Reviews0
LaunchedFeb 2016
Setup Time30-90 days
Status
active
Company & Links