Does Consensus or Iris.ai have a free plan?

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

Consensus vs Iris.ai

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

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

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

Updated May 2026

Consensus

AI-powered academic search engine

0.0(0)

FREEMIUM

78% data quality

Iris.ai

Iris AI AS

AI Knowledge Foundation for Regulated Enterprises

0.0(0)

ENTERPRISE

94% data quality

Trust & Reliability

Consensus

Users:1M-10M

Customers (per vendor):Researchers, students, clinicians +1

Iris.ai

Uptime:99.99%

Too Close to Call

Consensus (6.5) vs Iris.ai (6.2) — difference of 0.3 points

AI Comparison Summary

Consensus

6.5

avg score

Iris.ai

6.2

avg score

Consensus leads overall — particularly in Ease of Use.

Based on 6 dimensions

How scores are calculated

Overall Winner

Consensus

6.5 / 10

Consensus

Best For

Academic researchers

Students

Clinicians

Anyone needing to quickly understand scientific literature

Not Ideal For

Finding non-academic or opinion-based content

Users who prefer manual, in-depth literature searches without AI assistance

Real-time news or current events research

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

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

Consensus is best for

💬Chat & Conversation8.0🔍Research7.8📊Data & Analytics7.0

Iris.ai is best for

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

Filter by your use case:

Pros & Cons

Consensus

Pros

Saves significant time on literature reviews
Provides reliable and transparent research insights
Access to a vast database of peer-reviewed papers
Helps cut through noise and find evidence
User-friendly interface for complex research tasks

Cons

May not cover all niche or very recent research
AI synthesis might require user verification for critical details
Reliance on the quality and availability of indexed papers

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

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

Consensus

6.5

/ 10

Your pick

Iris.ai

6.2

/ 10

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Consensus

7.0▲ +3.0

Iris.ai

4.0

Output Quality

Quality and accuracy of generated results

Consensus

8.0

Iris.ai

8.0

Value for Money

Cost vs. features and output quality

Consensus

7.0

Iris.ai

7.0

Customizability

Calculated

Ability to tailor to specific needs

Consensus

5.0

Iris.ai

5.0

Support & Ecosystem

Documentation, community, and support quality

Consensus

6.0

Iris.ai

6.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Consensus

6.0

Iris.ai

7.0▲ +1.0

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

Task Performance

Consensus

Task

Iris.ai

9.0

Literature Search

8.0

6.0

Citation Management

3.0

7.0

Data Extraction

9.0

5.0

Hypothesis Generation

5.0

8.0

Paper Summarization

7.0

4.0

Methodology Guidance

4.0

7.0

Cross Reference

7.0

8.0

Knowledge Synthesis

8.0

2.0

Experiment Tracking

2.0

5.0

Peer Review Support

3.0

* 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, Consensus or Iris.ai?

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

Is Consensus cheaper than Iris.ai?

Consensus starts at free (freemium model). Iris.ai starts at free (enterprise model). Use the Cost Calculator above for a detailed estimate.

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

Consensus — "AI-powered academic search engine". Iris.ai — "AI Knowledge Foundation for Regulated Enterprises". 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 Consensus and Iris.ai together?

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