Testsigma vs Mobot

Testsigma vs Mobot

5 February 2024 Stephan Petzl Leave a comment Tool comparisons

In the ever-evolving landscape of automated testing, Testsigma and Mobot stand out with distinct approaches. Testsigma offers a low-code, AI-powered test automation platform for web, Android, and iOS applications, simplifying the QA process with features like no-script automation and integration capabilities.

Conversely, Mobot employs mechanical robots powered by AI and computer vision for physical mobile app testing, providing a fully managed QA service. This comparison delves into each product’s capabilities, from Testsigma’s codeless operations to Mobot’s unique robot-driven testing solutions, to help you discern which tool best aligns with your testing requirements.

Latest update: 1/31/2024, 5:18:29 PM
We do not guarantee the accuracy, reliability, or completeness of the information presented on our website. This includes prices, product specifications, and availability, which are subject to change. The reviews on this site are collected from g2.com and crozdesk.com and summarized by us.

Feature comparison of Testsigma and Mobot

Free Plan
On Premise
Device Farm
Test RecorderN/A
Physical Device TestingN/A
No Code
Uses Ai
Generates Reports
Uses Computer VisionN/A
Ease Of Usevery easy to learnvery easy to learn
Is Open Source
Support Included
Review Pros 1. Rapid Test Automation: Users can automate most test cases quickly without needing expertise in specific languages or frameworks.
2. Customer Support: The support team is highly responsive and easily accessible directly through the platform.
3. Ease of Use: The platform is user-friendly, requiring minimal training to handle.
4. Test Step Grouping: This feature streamlines the development of new scripts by grouping test steps.
5. No-Script Automation: Offers a codeless approach to test automation, making it accessible to non-technical users.
6. Integration Capabilities: Testsigma allows for seamless integration with various tools, enhancing the automation suite.
7. Natural Language Processing (NLP): Testsigma uses NLP for test cases, making it intuitive to write tests in plain English.
8. Accessibility: It caters to users with non-technical backgrounds, allowing them to learn and use the platform effectively.
9. End-to-End Testing: It supports comprehensive testing, including validation of OTPs via Email and SMS.
10. Custom Functionality: Users can import custom code to extend functionality when required actions are not available.
Review Cons 1. Limited Database Testing: Currently, Testsigma does not support direct database testing, though some validation can be done using custom functions.
2. Reporting Features: The reporting capabilities are somewhat limited and could be improved.
3. Performance Issues: Some users have reported slower execution times and non-functional cloud devices.
4. End-to-End Testing Complexity: While possible, some users find end-to-end testing to be challenging.
5. Salesforce Integration: There is a need for improved integration features with Salesforce.
6. Ticket Tracking: Improvements could be made in how user-raised tickets are tracked.
7. Desktop Application Automation: Testsigma does not currently support the automation of desktop applications.
8. Element Inspection Limitations: Some elements cannot be inspected directly, requiring workarounds like Sikuli for interaction.
9. Occasional Errors: Users have encountered intermittent errors, sometimes due to platform maintenance or upgrades.
10. Lack of Transparency: There is a need for better communication regarding maintenance and updates that may affect test performance.

Pricing Model Comparison: Testsigma vs. Mobot

Testsigma Pricing Overview

Testsigma provides an AI-driven test automation platform with a three-tiered pricing model to accommodate different scales of operation and testing requirements:

  • Free Plan: Geared towards smaller projects with limited testing needs.
  • Pro Plan: Offers unlimited testing minutes and a wide array of device/browser combinations, targeted at fast-growing teams.
  • Enterprise Plan: Tailored for large organizations with advanced security and support needs.

Pricing for the Pro and Enterprise plans is not listed and requires contacting the sales team for personalized quotes.

Mobot Pricing Overview

Mobot offers a tiered pricing structure aimed at various professional team requirements:

  • Mobot Live: Starts at $249 per month for self-service, live robot testing with one parallel test.
  • Mobot Managed: Begins at $1,999 per month for a fully managed testing service, suitable for engineering teams.
  • Mobot Insights: Also starting at $1,999 per month, catering to marketing and product teams with campaign monitoring services.

All tiers grant access to a robust device library and premium support, with free trials available.

Common Points in Pricing Models

Both Testsigma and Mobot employ tiered pricing strategies to serve a range of customer needs, from small-scale projects to enterprise-level operations. Each company offers various levels of service and support, ensuring that there is a plan to match the scale and complexity of the user’s requirements. They also provide access to extensive libraries of devices and browsers, ensuring comprehensive testing coverage. Both Testsigma and Mobot emphasize the importance of premium support, although the specifics of this support may vary between the two products.

Key Differences in Pricing Models

The primary differences between Testsigma and Mobot’s pricing models are as follows:

  • Transparency: Mobot provides transparent pricing for its lower tiers, while Testsigma requires potential customers to contact their sales team for a custom quote for Pro and Enterprise plans.
  • Entry Point: Testsigma offers a Free plan which is suitable for limited testing capabilities, whereas Mobot’s entry-level plan starts at $249 per month.
  • Managed Services: Mobot has a distinct offering with Mobot Managed, which provides a fully managed testing service, a feature that is not explicitly mentioned in Testsigma’s tiers.
  • Target Audience: Mobot segments its plans not only by scale but also by team function (QA engineers, engineering teams, and marketing/product teams), suggesting a more specialized approach compared to Testsigma’s more generalized tiers.
  • Pricing Scale: Mobot’s pricing model is explicitly scaled by the number of parallel tests for the live testing tier, indicating a direct correlation between price and testing volume/capacity.


While both Testsigma and Mobot provide tiered solutions to cater to a variety of testing needs, the key differences lie in pricing transparency, the entry-point for services, and the specificity of managed services and target audiences. Testsigma favors a more customized approach with its pricing upon request, whereas Mobot offers more immediate pricing information, at least for its lower tiers. Understanding these differences is crucial for teams to select the right service that aligns with their testing requirements and budget constraints.

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