QA Tech AI Testing Startup Gets $1 Million Financing

QA.tech is building an autonomous QA Engineer that can automatically figure out what to test, and manually test it, using AI. This has the potential to not only save millions of hours of tedious work, but also to increase the overall quality of software that we use in our daily routines. Imagine being able to do instant automatic QA testing as part of a regular CI/CD pipeline at close to the same quality as a human manual QA tester — this is what shift-left testing looks like at its best. Developers are freed up to focus their attention on shipping code and QA testers can increase their productivity massively by leveraging QA.tech’s AI.

With the successful completion of this funding round, QA.tech will be expanding the team and partnering with a few beta customers to continue developing their AI. The funds will be utilized to expand the developer team and accelerate product development. QA.tech is already in discussions with about twenty customers interested in participating in the company’s beta program.

The founding team behind QA.tech brings vast experience to the table. Daniel Mauno Pettersson has experienced the pains of QA testing firsthand, having been CTO at memmo and Billogram, and Head of Product & Engineering at Dooer. Patrick Lef has worked alongside Daniel for many years at memmo and Dooer as Head of Product and COO and has held CTO, product, and developer roles at Videofy, collabs, besedo, and Hamsterpaj. Marcus Carloni is a serial founder with deep commercial experience as the founder of Smart Media and Flowbox.