Spur's AI-Powered Test Plans Aim to Save QA Engineers Over 10 Hours Weekly

New York, NY – Spur, an artificial intelligence-driven quality assurance (QA) platform, has introduced "Test Plans for Spur," a new integrated solution designed to centralize and automate the planning, execution, and reporting of software tests. Co-founder and CEO Sneha Sivakumar announced the launch via social media, stating, "We just made test management tools obsolete. Launching today: Test Plans for Spur. One dashboard to plan, execute, and report on every test. No more manual coordination. Just organized, automated QA.

The new offering aims to streamline the traditionally complex software testing lifecycle by providing a unified dashboard. Spur's core technology leverages AI agents that can simulate thousands of user interactions in minutes, allowing teams to define test parameters using natural language rather than requiring extensive coding knowledge. This approach is intended to drastically reduce the time and resources typically spent on creating and maintaining test scripts.

Founded by Yale graduates Sneha Sivakumar and Anushka Nijhawan, Spur has quickly established itself in the AI QA sector. The company successfully closed a $4.5 million Seed funding round in May 2025, with First Round Capital among the key investors. This capital has supported the development of its "AI QA Engineer" solution, which promises high test coverage and proactive bug detection.

The integration of comprehensive "Test Plans" into Spur's platform is projected to significantly enhance operational efficiency, with the company anticipating savings of "10+ hours saved weekly per QA engineer." By automating test scheduling and reporting functionalities, Spur seeks to eliminate manual coordination efforts and accelerate development cycles. The platform's vision-first, multi-modal AI agents interact with web browsers in a human-like manner, ensuring test reliability even amidst frequent UI changes.