- 1 reviews
- 2.0
- Favorites
- 1
- Pricing
- Starts at $7 / month
- 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.
Your science assistant
Tool Details
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Key Features
Memory across sessions
The AI adapts to your communication style and preferences over time. Iris.ai is built for Web App users.
Tooling for engineering teams
Developers get client libraries that smooth integration work.
Insights & analytics
Decision-makers get real-time context without waiting on manual reporting. Built-in dashboards in Iris.ai expose the met
Expert Insight
Dr. William Bobos
Dr. William Bobos has analyzed Iris.ai for Scientific Research. With expertise in AI tools, Dr. William Bobos identifies this tool as especially effective for scientists requiring AI tools functionality.
Pricing & Plans
Pricing: starts at $7 / month(Updated June 2026)
Iris.ai offers subscription-based pricing plans tailored for individual researchers, teams, and institutions. Pricing varies based on the selected features and usage requirements.
Usage Model: Pay-as-You-Go, API Calls — ensuring you only pay for what you actually use.
Iris.ai offers pricing starting at starts at $7 / month, providing scientists with access to professional scientific research capabilities. The pricing model balances features and cost, offering options for different use cases. For scientists who integrate scientific research tools into their core processes, the investment typically delivers significant value through improved outcomes.
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About Iris.ai
“Your science assistant”
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 keeps invoices proportional to real output.
Key Features
Explore what makes Iris.ai stand out.
Memory across sessions
The AI adapts to your communication style and preferences over time. Iris.ai is built for Web App users.
Tooling for engineering teams
Developers get client libraries that smooth integration work.
Insights & analytics
Decision-makers get real-time context without waiting on manual reporting. Built-in dashboards in Iris.ai expose the metrics that matter most.
Use Cases
Discover how different audiences leverage Iris.ai.
Personalized learning support
Educators use Iris.ai to create lesson plans, generate practice exercises, and provide personalized feedback.
Feature prioritization
Iris.ai aggregates insights across product, marketing, and support so releases stay aligned.
Insight generation
Self-service analytics reduces the backlog on central BI teams.
FAQ about Iris.ai
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Make the Most of Iris.ai
Before committing to Iris.ai, compare it side-by-side with alternatives like Scite.ai, Elicit, Semantic Scholar in our comparison view. Focus on the details that matter for your workflow—capabilities, pricing, and platform support—so you can shortlist with confidence.
Developers can get started quickly with the Python SDK (also available for JavaScript/TypeScript). Review the pricing details carefully—model your total cost at expected usage to avoid surprises.
For more scientific research tools for scientists, browse our curated collections. Stay current with launches and model updates via AI News. New to the space? Start with AI Fundamentals.
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