Software testing, software quality, test automation news for financing and acquisition of load testing, unit testing, functional testing and DevOps tools.
HappyPath has announced today that it has secured $4 million in funding. The company is using the funds to address a critical need for more effective software testing and has officially launched its AI-powered platform to help the technology sector reimagine their approach to testing.
TestSprite has announced the close 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.
Sapient.ai, an AI-driven software testing platform, has announced its rebranding to BaseRock.ai. This strategic name change reflects the company’s dedication to providing a solid foundation for software quality assurance and its vision for the future of AI-powered test tools.
Distributional AI Testing Platform has announced that it has raised $19 million in Series A funding led by Two Sigma Ventures with participation from Andreessen Horowitz, Operator Collective, Oregon Venture Fund, Essence VC, Alumni Ventures and angel investors.
BrowserStack software testing platform has announced the acquisition of Bird Eats Bug, a bug reporting tool. This acquisition brings Bird Eats Bug’s powerful capabilities into BrowserStack’s ecosystem. BrowserStack has launched Bug Capture, a solution for manual testing.
Opkey Artificial Intelligence (AI) continuous test automation platform for enterprise systems has announced that it has raised $47 million in Series B funding led by PeakSpan Capital, with continued support from existing investors. This substantial investment will fuel Opkey’s mission to deliver continuous assurance and streamline cloud Enterprise Resource Planning (ERP) transformation programs.
LambdaTest has launched KaneAI end-to-end software AI Test Agent. Its approach to author, debug, and evolve end-to-end tests using natural language aims to revolutionize the way teams create, manage, and execute automated tests.