Does Deep Genomics or PathAI have a free plan?

Deep Genomics is a paid tool. PathAI is a paid tool. Always verify current pricing directly with the vendor.

Deep Genomics vs PathAI

Q: Which is better, Deep Genomics or PathAI?

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

Q: Is Deep Genomics cheaper than PathAI?

Deep Genomics starts at free (enterprise model). PathAI starts at free (enterprise model). Use the Cost Calculator above for a detailed estimate.

Q: What are the main differences between Deep Genomics and PathAI?

Deep Genomics — "Programming RNA Therapies for Any Gene, Any Genetic Condition". PathAI — "Improve patient outcomes with AI-powered pathology for biopharma and diagnostic labs.". 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 Deep Genomics and PathAI together?

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

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

Updated May 2026

Deep Genomics

Programming RNA Therapies for Any Gene, Any Genetic Condition

0.0(0)

ENTERPRISE

77% data quality

PathAI

PathAI, Inc.

Improve patient outcomes with AI-powered pathology for biopharma and diagnostic labs.

0.0(0)

ENTERPRISE

80% data quality

Trust & Reliability

Deep Genomics

Trust data not available yet

PathAI

Users:<1K

Customers (per vendor):Labcorp

Overall Winner: PathAI

6.2/10 vs Deep Genomics at 4.3/10

Leads in:

Output Quality

Support

Ease of Use

AI Comparison Summary

Deep Genomics

4.3

avg score

PathAI

6.2

avg score

PathAI leads overall — particularly in Ease of Use and Integration Power.

Based on 6 dimensions

How scores are calculated

Overall Winner

PathAI

6.2 / 10

Deep Genomics

Best For

Developing RNA therapies for genetic conditions

Accelerating drug discovery with AI

Untangling complex RNA biology data

Identifying novel therapeutic targets

Not Ideal For

General AI research or development

Non-biotech or pharmaceutical companies

Individuals seeking direct medical treatment

PathAI

Best For

Improving patient outcomes through AI-powered diagnostics

Advancing drug and diagnostic development in biopharma

Powering digital pathology workflows in large laboratories

Standardizing histopathology endpoints in clinical trials

Not Ideal For

Individual practitioners or small clinics without digital pathology infrastructure

General medical imaging analysis outside of histopathology

Users seeking a low-cost or free AI solution

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

Deep Genomics is best for

📊Data & Analytics9.0🔍Research9.0🎧Customer Support4.0

PathAI is best for

📊Data & Analytics9.0🔍Research9.0🎧Customer Support5.0

Filter by your use case:

Pros & Cons

Deep Genomics

Pros

Leverages cutting-edge AI and RNA biology
Proprietary AI platform for data-driven prediction
Addresses a wide range of genetic conditions
Founded by internationally acclaimed scientists in deep learning and genomics

Cons

Highly specialized for genetic medicine and RNA therapies
Requires deep scientific and technical expertise
No public pricing or direct access for individuals
Focus on early-stage drug discovery, not clinical trials

PathAI

Pros

FDA-cleared digital pathology platform for primary diagnosis
Comprehensive suite of AI algorithms for various pathology use cases
Cloud-native solution for scalable image and case management
Supports all phases of drug and diagnostic development
Extensive pathologist contributor network for AI training and validation

Cons

No explicit pricing information available, likely enterprise-only
Requires integration into existing lab workflows and digital pathology infrastructure
Limited information on direct user control over AI models or customization
No mention of support for non-pathology medical imaging
Website content contains placeholder dates (e.g., 2026) which may be confusing

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

Deep Genomics

4.3

/ 10

PathAI

6.2

/ 10

Clear winner

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Deep Genomics

2.0

PathAI

6.0▲ +4.0

Output Quality

Quality and accuracy of generated results

Deep Genomics

8.0

PathAI

9.0▲ +1.0

Value for Money

Cost vs. features and output quality

Deep Genomics

7.0

PathAI

7.0

Customizability

Calculated

Ability to tailor to specific needs

Deep Genomics

2.0

PathAI

2.0

Support & Ecosystem

Documentation, community, and support quality

Deep Genomics

6.0

PathAI

7.0▲ +1.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Deep Genomics

1.0

PathAI

6.0▲ +5.0

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

Task Performance

Deep Genomics

Task

PathAI

2.0

Clinical Documentation

9.0

1.0

Patient Communication

2.0

7.0

Diagnosis Support

9.0

1.0

Drug Interaction Check

1.0

Health Monitoring

1.0

Appointment Management

1.0

Medical Coding

1.0

2.0

Compliance Tracking

8.0

9.0

Research Analysis

9.0

1.0

Telehealth Support

1.0

* 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, Deep Genomics or PathAI?

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

Is Deep Genomics cheaper than PathAI?

Deep Genomics starts at free (enterprise model). PathAI starts at free (enterprise model). Use the Cost Calculator above for a detailed estimate.

What are the main differences between Deep Genomics and PathAI?

Deep Genomics — "Programming RNA Therapies for Any Gene, Any Genetic Condition". PathAI — "Improve patient outcomes with AI-powered pathology for biopharma and diagnostic labs.". 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 Deep Genomics and PathAI together?

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