What is the difference between Iris.ai and CORE?

Iris.ai focuses on Systematic literature review and is enterprise, while CORE specializes in 250M+ metadata records and is free. Both are AI Research tools.

Is Iris.ai or CORE better?

It depends on your needs. Iris.ai excels at Powerful systematic review tools, while CORE is known for Largest open access collection. Compare their features above to decide which fits your workflow.

Iris.ai vs CORE

AI Research tools comparison · Updated 2026

Choosing between Iris.ai and CORE? Both are popular AI Research tools. Iris.ai starts at Paid and focuses on Systematic literature review. CORE is free to use and specializes in 250M+ metadata records. Here's a detailed side-by-side comparison to help you decide.

At a Glance

	Iris.ai	CORE
Category	AI Research	AI Research
Pricing	enterprise	free
Starting Price	Paid	Free
Best For	research, enterprise, NLP	open-access, research, text-mining
Features	6 listed	6 listed

Iris.ai

AI workspace for R&D teams to systematically explore and analyze scientific literature.

AI Research enterprise

Visit Iris.ai → Alternatives

CORE

World's largest open access paper aggregator with 250M+ records and text mining API.

AI Research free

Visit CORE → Alternatives

Feature Comparison

Iris.ai	CORE
✓ Systematic literature review	✓ 250M+ metadata records
✓ Data extraction	✓ Full-text access
✓ Knowledge maps	✓ Open access aggregation
✓ Research space workspace	✓ API for text mining
✓ Smart filters	✓ Dataset services
✓ Team collaboration	✓ Repository dashboard

Pricing Comparison

Iris.ai

enterprise

Enterprise pricing based on team size and usage. Free trial available.

CORE

free

Free for individuals. API access free for research. Commercial API licensing available.

Pros & Cons

Iris.ai

Pros

+ Powerful systematic review tools
+ Enterprise-grade features
+ Good for large-scale research
+ Smart filtering

Cons

− No transparent pricing
− Steep learning curve
− Enterprise-focused, less for individuals
− Requires onboarding

CORE

Pros

+ Largest open access collection
+ Full-text availability
+ Free API for research
+ Great for text mining

Cons

− Interface not very modern
− Duplicate records possible
− Search relevance can be poor
− Full-text not always available

The Verdict

Both Iris.ai and CORE are strong AI Research tools. Iris.ai stands out for Powerful systematic review tools, making it ideal if that's your priority. CORE excels at Largest open access collection, which may be more important for your workflow. Price-wise, Iris.ai is enterprise while CORE is free, so budget may also factor in.