Does Iris.ai or scite have a free plan?

Iris.ai is a paid tool. scite is available for free with a free trial. Always verify current pricing directly with the vendor.

Iris.ai vs scite

Q: Which is better, Iris.ai or scite?

Both are strong options. Iris.ai has a rating of 0.0/5 (0 reviews), while scite has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Q: Is Iris.ai cheaper than scite?

Iris.ai starts at free (enterprise model). scite starts at $20/month (freemium model) with a free trial. Use the Cost Calculator above for a detailed estimate.

Q: What are the main differences between Iris.ai and scite?

Iris.ai — "AI Knowledge Foundation for Regulated Enterprises". scite — "AI for Research, Grounded in Evidence". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

Q: Can I use Iris.ai and scite together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine Iris.ai and scite with other tools and save your AI toolkit.

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Updated May 2026

Iris.ai

Iris AI AS

AI Knowledge Foundation for Regulated Enterprises

0.0(0)

ENTERPRISE

94% data quality

scite

Scite LLC

AI for Research, Grounded in Evidence

0.0(0)

FREEMIUM

93% data quality

Trust & Reliability

Iris.ai

Uptime:99.99%

Users:<1K

Customers (per vendor):ArcelorMittal, Mercedes-Benz, Syngenta +1

GDPR

Too Close to Call

scite (6.3) vs Iris.ai (6.2) — difference of 0.2 points

AI Comparison Summary

Iris.ai

6.2

avg score

scite

6.3

avg score

scite leads overall — particularly in Ease of Use and Customizability.

Iris.ai has an edge in Integration Power.

Based on 6 dimensions

How scores are calculated

Overall Winner

scite

6.3 / 10

Iris.ai

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

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

scite

Best For

Evaluating scientific literature credibility

Streamlining literature reviews for academics

Finding supporting or contradicting evidence for research

Discovering relevant scientific articles

Not Ideal For

General web search or non-academic information retrieval

Generating creative content or marketing copy

Real-time news monitoring outside of scientific publications

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

Iris.ai is best for

📊Data & Analytics9.0💬Chat & Conversation8.0🔍Research6.5

scite is best for

🔍Research8.3💬Chat & Conversation8.0📊Data & Analytics7.0

Filter by your use case:

Pros & Cons

Iris.ai

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

Cons

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

scite

Pros

Extensive coverage of 280M+ scholarly sources including paywalled content
Smart Citations provide context on whether research is supported or contradicted
Answers are grounded in verifiable evidence, reducing hallucinations
Offers a 7-day free trial to explore premium features
Used by millions of researchers and leading institutions worldwide
Provides API and MCP access for integration

Cons

No explicit mention of multi-language support, likely English-centric
Pricing for organizations and developers requires custom quotes
Primarily focuses on scientific literature, not general web content

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Output Quality5

Value for Money5

Customizability5

Support & Ecosystem5

Integration Power5

Dimension Comparison

Iris.ai

6.2

/ 10

scite

6.3

/ 10

Your pick

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Iris.ai

4.0

scite

7.0▲ +3.0

Output Quality

Quality and accuracy of generated results

Iris.ai

8.0

scite

9.0▲ +1.0

Value for Money

Cost vs. features and output quality

Iris.ai

7.0

scite

7.0

Customizability

Calculated

Ability to tailor to specific needs

Iris.ai

5.0

scite

7.0▲ +2.0

Support & Ecosystem

Documentation, community, and support quality

Iris.ai

6.0

scite

7.0▲ +1.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Iris.ai

7.0▲ +6.0

scite

1.0

Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology

Task Performance

Iris.ai

Task

scite

8.0

Literature Search

9.0

3.0

Citation Management

8.0

9.0

Data Extraction

7.0

5.0

Hypothesis Generation

5.0

7.0

Paper Summarization

8.0

4.0

Methodology Guidance

4.0

7.0

Cross Reference

9.0

8.0

Knowledge Synthesis

8.0

2.0

Experiment Tracking

2.0

3.0

Peer Review Support

6.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

Which is better, Iris.ai or scite?

Both are strong options. Iris.ai has a rating of 0.0/5 (0 reviews), while scite has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Is Iris.ai cheaper than scite?

Iris.ai starts at free (enterprise model). scite starts at $20/month (freemium model) with a free trial. Use the Cost Calculator above for a detailed estimate.

What are the main differences between Iris.ai and scite?

Iris.ai — "AI Knowledge Foundation for Regulated Enterprises". scite — "AI for Research, Grounded in Evidence". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

Can I use Iris.ai and scite together?

Explore Alternatives

Iris.ai Alternatives

Tools similar to Iris.ai

scite Alternatives

Tools similar to scite

Compare More AI Tools

Use our comparison tool to compare up to 5 AI tools side-by-side with AI-powered recommendations.