Does MakinaRocks or KONUX have a free plan?

MakinaRocks is a paid tool. KONUX is a paid tool. Always verify current pricing directly with the vendor.

MakinaRocks vs KONUX

Q: Can I use MakinaRocks and KONUX together?

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

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

Updated May 2026

MakinaRocks

Transforming industries with specialized AI and intelligent agents

0.0(0)

ENTERPRISE

82% data quality

KONUX

KONUX GmbH

Transform railway operations for a sustainable future with AI and IoT.

0.0(0)

ENTERPRISE

82% data quality

Trust & Reliability

MakinaRocks

Users:1K-10K

Customers (per vendor):Hyundai, KIA, SAMSUNG ELECTRO-MECHANICS +7

KONUX

Customers (per vendor):Infrabel, FGC, Deutsche Bahn +4

GDPR

Overall Winner: KONUX

6.0/10 vs MakinaRocks at 5.0/10

Leads in:

Integrations

Support

Ease of Use

AI Comparison Summary

MakinaRocks

5.0

avg score

KONUX

6.0

avg score

KONUX leads overall — particularly in Support & Ecosystem and Integration Power.

Based on 6 dimensions

How scores are calculated

Overall Winner

KONUX

6.0 / 10

MakinaRocks

Best For

Optimizing manufacturing processes with AI

Automating design data analysis in heavy industry

Implementing predictive maintenance in automotive

Enhancing operational control in defense

Not Ideal For

Individual users or small businesses needing general-purpose AI tools

Companies outside of heavy industry, manufacturing, automotive, or defense sectors

Users seeking a low-cost, off-the-shelf AI solution

KONUX

Best For

Optimizing railway infrastructure maintenance

Increasing rail network capacity and reliability

Reducing operational costs in rail transport

Digitalizing railway asset management

Not Ideal For

Small businesses or individual users

Industries outside of railway and transportation infrastructure

General-purpose data analytics or IoT applications

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

MakinaRocks is best for

📊Data & Analytics6.5💻Coding & Dev6.0🎨Image & Design5.0

KONUX is best for

📊Data & Analytics7.2🎨Image & Design7.0💻Coding & Dev6.0

Filter by your use case:

Pros & Cons

MakinaRocks

Pros

Highly specialized AI tailored for complex industrial problems
Comprehensive AI OS (Runway) for end-to-end AI lifecycle management
Proven track record with over 5000 commercialized AI models in industrial sites
AI agents like DrawX automate complex tasks such as design data analysis
Supports critical industrial sectors including automotive, defense, and manufacturing

Cons

Requires significant data infrastructure and expertise for deployment
High implementation cost for specialized industrial solutions
Steep learning curve for non-technical users
Limited public documentation or community support for general users
Not suitable for general-purpose AI tasks or small businesses

KONUX

Pros

Combines AI and IoT for comprehensive rail infrastructure insights
Proven predictive AI models built on extensive railway data
Modular and fast-to-deploy sensor technology
Secure, federated data and AI platform for collaboration
Enhances capacity, reliability, and cost-efficiency in rail transport
Trusted by major industry leaders like Deutsche Bahn and Network Rail

Cons

Highly specialized for the railway industry, not applicable to other sectors
Requires significant data integration from existing rail infrastructure
Implementation likely involves complex enterprise-level deployment
No public pricing available, indicating potential high cost for smaller entities

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

MakinaRocks

5.0

/ 10

KONUX

6.0

/ 10

Clear winner

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

MakinaRocks

3.0

KONUX

4.0▲ +1.0

Output Quality

Quality and accuracy of generated results

MakinaRocks

8.0

KONUX

8.0

Value for Money

Cost vs. features and output quality

MakinaRocks

6.0

KONUX

6.0

Customizability

Calculated

Ability to tailor to specific needs

MakinaRocks

5.0

KONUX

5.0

Support & Ecosystem

Documentation, community, and support quality

MakinaRocks

3.0

KONUX

5.0▲ +2.0

Integration Power

Calculated

Ability to connect with other tools and workflows

MakinaRocks

5.0

KONUX

8.0▲ +3.0

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

Task Performance

MakinaRocks

Task

KONUX

5.0

Data Visualization

7.0

4.0

Natural Language Queries

6.0

5.0

Dashboard Creation

7.0

6.0

Data Cleaning

6.0

8.0

Predictive Analytics

9.0

7.0

Automated Insights

8.0

7.0

Data Integration

7.0

6.0

Report Generation

6.0

7.0

Anomaly Detection

8.0

5.0

Collaboration Sharing

7.0

* 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, MakinaRocks or KONUX?

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

Is MakinaRocks cheaper than KONUX?

MakinaRocks starts at free (enterprise model). KONUX starts at free (enterprise model). Use the Cost Calculator above for a detailed estimate.

What are the main differences between MakinaRocks and KONUX?

MakinaRocks — "Transforming industries with specialized AI and intelligent agents". KONUX — "Transform railway operations for a sustainable future with AI and IoT.". 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 MakinaRocks and KONUX together?

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