Funds for AI-Based Site Testing Firm Spur

In New York, AI-based QA testing start-up Spur has raised $4.5m in funding, to be used in software development and for recruitment, and says its use cases are broadening out to include persona-based A/B and UI / UX testing.

The company's platform uses AI agents to emulate real users navigating in a browser, testing to find bugs and optimise experience for more than 30 clients including eCommerce and travel booking companies. Spur was founded less than a year ago by two female Yale graduates, CEO Sneha Sivakumar and CTO Anushka Nijhawan. Nijhawan (pictured right) has worked at DeepMind and Meta, and Sivakumar at Figma and Snap.

Funds came from firms including First Round, Pear VC, Neo, Conviction, Liquid2Ventures, and Predictive Venture Partners, as well as a number of other angel investors. The company will use the money to continue building out its AI QA Engineer and to hire for roles in Applied AI, Business Ops and GTM.

'QA testing is the bane of existence for every single company,' says Sivakumar (pictured left). 'QA tools have never lived up to expectations, but Spur is leveraging AI fully to really make a big swing in the space. We are already seeing massive success and ROI today with our clients - putting QA on complete autopilot, 10Xing release cycles and catching business critical bugs before hitting production, saving our customers millions of dollars. We are thrilled to work with this set of investors who have deep expertise in AI and QA and really understand and support our mission.'

The firm is online at www.spurtest.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.