TestSprite has announced an early access beta program for its end-to-end QA tool, along with $1.5 million pre-seed funding aimed at accelerating product development, expanding the team, and scaling operations to meet growing demand.

TestSprite's products use AI for software testing and cover the full range of tasks including building test plans, writing code, executing tests, debugging, suggesting fixes and reporting with what the company says is minimal input from developers. 

TestSprite has been developed as a fully autonomous AI testing agent that handles the entire testing process. It generates test plans that the company says cover more edge cases, accelerating the testing process beyond traditional AI tools. Because it runs the code in a cloud-based sandbox, developers are protected from any potential impact on their environment.

It also offers automated backend API testing, and frontend testing with visualization of test execution. The API testing options include functional testing, error handling, security, authorization & authentication, boundary testing, load & performance testing, edge case testing, response content validation, and concurrency testing. Reports include error types, potential root causes, and recommended fixes.

The front-end/UI testing includes real-time, AI-generated test cases tailored to a developer's actual content and edge cases. The TestSprite team says their AI testing agent creates custom tests that validate both UI and UX, as well as a web preview mode that can be used to monitor interactions and identify issues as they occur. The UI testing reports include error tracing, root cause identification, and recommendations for actions.

The developers say TestSprite can also be used for validating AI models, ensuring complex systems are properly tested. The team says the platform's ability to automate the validation of AI systems makes it an indispensable tool for teams developing next-gen AI technologies.

TestSprite also lets developers use natural language for test revisions. The tool is now available in an early access beta program. There's a "freemium" community version, so developers can start using it without any cost, and the company says that:

"Whether it's feedback on the AI's speed, coverage, or overall ease of use, we're eager to hear your thoughts and use them to improve the platform."

The TestSprite team says the tool is ideal for individual coders looking for self-serve Test/QA, and small dev teams lacking dedicated testing/QA talent. It integrates with existing test tools and CI/CD processes, integrating with tools like GitHub and working seamlessly within CI/CD pipelines.

Underpinning the beta release, TestSprite has announced the completion of a $1.5 million pre-seed round, bringing the total funding amount raised to $1.7 million. Investors included Techstars, Jinqiu Capital, MiraclePlus, Hat-trick Capital, EdgeCase Capital Partners, and angel investor Rafael Barroso. Additional investment came from the founding team. The company says the funds will accelerate product development, expand the team, and scale operations to meet growing demand.

Yunhao Jiao, co-founder and CEO of TestSprite, said:

"With this funding, we're excited to ready our autonomous testing tool. As AI-generated code becomes more complex, our vision is to let AI test AI, allowing developers to focus on innovation while maintaining software quality."

The beta version of TestSprite is available now.

More Information

TestSprite Free Community Version

TestSprite Website

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