Iris.ai logo - Scientific Research brand identity

Iris.ai (2026)

Expert Reviewed
by Dr. William BobosLast reviewed: Sep 17, 2026

Your science assistant

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1 ratings
2.0
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Platform
Web App / API

Overview

Iris.ai is an AI platform for enterprises to deploy secure Agentic RAG AI workflows with tools for data ingestion, orchestration, retrieval, and evaluation at any scale, additionally supporting researchers via RSpace™ tools like Explore, Analyze, and Focus for navigating scientific literature from over 200 million papers.

Iris.ai Scientific Research showing Scientific Research - Your science assistant

Key Features

Tooling for engineering teams

Developers get client libraries that smooth integration work.

Compliance & governance ready

Data protection (GDPR) plus controlled access supports secure enterprise deployments. The listing includes a GDPR compli

Insights & analytics

Decision-makers get real-time context without waiting on manual reporting. Dashboards in Iris.ai are useful when they ex

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2.0 / 5based on 1 rating

About Iris.ai

“Your science assistant”

Iris.ai is a scientific research tool developed by Iris.ai (NO) designed for scientists, educators and students. Iris.ai is a Scientific Research and Conversational AI solution for scientists, educators, students, developers, and product managers that deploys secure Agentic RAG workflows for enterprises and RSpace™ tools to explore, analyze, and focus on 200M+ scientific papers. Pricing: Freemium. With over 52K monthly visits, Iris.ai has established a significant user base. Iris.ai follows a freemium pricing model, with plans from a free plan up to $7/mo. It is available on Web App and API. Developer integration is supported through Python and JavaScript/TypeScript SDKs. It competes in the same space as Scite, Elicit and Semantic Scholar. Iris.ai offers GDPR-compliant data handling and Global hosting. Explore more scientific research tools or browse all categories.

Iris.ai Snapshot

Key facts we track so you can judge fit before visiting the provider.

Primary category
Scientific Research
Best fit
Scientists, Educators, Students +2 more
Platforms
Web App, API
Provider context
Iris.ai - NO
Developer access
Python, JavaScript/TypeScript
Data handling
GDPR marked, Global hosting, Privacy policy linked
Evidence signals
52K monthly visits, 2.0 rating from 1 ratings, 1 community favorites +1 more

Before you choose Iris.ai

  • Confirm Iris.ai's current limits, renewal terms, and seat pricing on the official site.
  • Review privacy, retention, and data-processing terms before using sensitive data.
  • Run a small pilot with your real workflow before adopting it as a core tool.
  • Make sure the supported platform matches where your team actually works.

What to verify

  • Integration depth is unclear; test import/export, API access, or workflow handoff before relying on it.

Listing data is compiled from structured provider information, public signals, submissions, and periodic checks where available. Treat this page as a shortlist aid, then verify pricing, compliance, and product limits with the provider before making a business-critical decision.

How Iris.ai Works

Understanding the core functionality and approach of Iris.ai.

Iris.ai meters activity so invoices mirror real adoption instead of seat assumptions. Experiments can scale without renegotiating budgets every quarter. Usage-based billing in Iris.ai makes cost modeling important before production rollout.

Key Features

Explore what makes Iris.ai stand out.

Tooling for engineering teams

Developers get client libraries that smooth integration work.

Compliance & governance ready

Data protection (GDPR) plus controlled access supports secure enterprise deployments. The listing includes a GDPR compliance signal for Iris.ai, which is useful for early vendor screening.

Insights & analytics

Decision-makers get real-time context without waiting on manual reporting. Dashboards in Iris.ai are useful when they expose metrics your team already reviews.

Use Cases

Discover how different audiences leverage Iris.ai.

Scientists

Insight generation

Self-service analytics reduces the backlog on central BI teams.

FAQ about Iris.ai

What is Iris.ai and what does it do?

Iris.ai is Your science assistant. Iris.ai is an AI platform for enterprises to deploy secure Agentic RAG AI workflows with tools for data ingestion, orchestration, retrieval, and evaluation at any scale, additionally supporting researchers via RSpace™ tools like Explore, Analyze, and Focus for navigating scientific literature from over 200 million papers. Available on Web App, API, Iris.ai is designed to enhance productivity and deliver professional-grade scientific research capabilities.

How much does Iris.ai cost?

Iris.ai offers Freemium pricing options. Iris.ai offers subscription-based pricing plans tailored for individual researchers, teams, and institutions. Pricing varies based on the selected features and usage requirements. Current estimates suggest pricing from Paid from $7 / month. You can start with a free tier to test the platform before committing to a paid plan. For the most current pricing details and plan comparisons, visit the official Iris.ai pricing page or contact their sales team for custom enterprise quotes. See also Free vs Paid AI Tools for guidance on choosing the right plan.

Is Iris.ai secure and compliant with data privacy regulations?

Iris.ai is GDPR compliant, ensuring your data is handled according to European data protection standards. Data is hosted in Global, providing transparency about where your information resides. For comprehensive details about data handling, encryption, and privacy practices, review their official privacy policy. Security and compliance are continuously updated to meet evolving industry standards.
What platforms does Iris.ai support?
Iris.ai is available on Web App, API. The web application provides full functionality directly in your browser without requiring downloads. API access allows developers to integrate Iris.ai capabilities directly into their own applications and workflows. This multi-platform approach ensures you can use Iris.ai wherever and however you work best.
How can I try Iris.ai before purchasing?
The freemium model gives you access to essential features at no cost, with premium capabilities available through paid upgrades. Testing the platform before committing ensures it meets your specific requirements and integrates smoothly with your existing workflows. Support for English makes it accessible to global users.
What file formats does Iris.ai support?
Iris.ai accepts Accepts text input, such as research queries, paper abstracts, or keywords. as input formats, making it compatible with your existing files and workflows. Output is delivered in Provides structured output in the form of related research papers, key concepts, and connections between scientific topics., ensuring compatibility with downstream tools and platforms. This format flexibility allows seamless integration into diverse tech stacks and creative pipelines.
Who develops and maintains Iris.ai?
Iris.ai is developed and maintained by Iris.ai, based in NO. Most recently updated in September 2026, the platform remains actively maintained with regular feature releases and bug fixes. This ongoing commitment ensures Iris.ai stays competitive and aligned with industry best practices.
How do I get access to Iris.ai?
Iris.ai is freely available to everyone without registration requirements. You can start using the platform immediately without going through lengthy approval processes.
How is usage measured and billed in Iris.ai?
Iris.ai uses Pay-as-You-Go, API Calls as billing metrics. API-based billing tracks the number of requests made to the service, providing predictable costs for developers. This usage model ensures you only pay for what you actually use, avoiding unnecessary overhead costs for features you don't need.
What deployment options does Iris.ai offer?
Iris.ai supports Cloud deployment configurations. Cloud-hosted options provide instant scalability without infrastructure management overhead. Choose the deployment model that best aligns with your technical requirements, security constraints, and operational preferences.

Stay updated with the latest news and insights about Iris.ai and the AI industry.

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OpenAI's AI Claims to Disprove Exponential Time Hypothesis and Solve Major Math/Physics Conjectures, Hands Verification to External Experts

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OpenAI's AI models claim to disprove the Exponential Time Hypothesis and solve major math and physics conjectures. External experts are now verifying these three new research results.
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For tool providers

Keep Iris.ai's listing accurate

Providers can update product facts, pricing context, screenshots, and launch notes. Paid placements are labeled separately and do not replace editorial or data-quality review.

How to Evaluate Iris.ai

Compare Iris.ai with Scite, Elicit, Semantic Scholar and other alternatives before you decide. The goal is not to pick the most popular product; it is to find the tool that fits your actual workflow, risk level, and budget.

  1. Step 1Test Iris.ai with one real workflow before moving important work into it.
  2. Step 2Model the full monthly cost at your expected usage, including seats, limits, and overages.
  3. Step 3Verify the integration path with your existing stack before you commit.
  4. Step 4Review privacy, retention, and compliance terms before using sensitive data.

For developer teams, inspect the Python SDK and JavaScript/TypeScript support. For broader context, browse more scientific research tools for scientists, or compare this page against the category hub. New to AI tool evaluation? Start with AI Tool Navigator.

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