AIQA Technologies
Offers solution for web-driven projects that already use test automation. AI Powered QA.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor | €0.0 | round |
| N/A | €0.0 | round | |
| N/A | €0.0 | round | |
PLN1.0m | Seed | ||
| Total Funding | 000k | ||
| USD | 2021 | 2022 | 2023 |
|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 |
| % growth | - | (78 %) | - |
| EBITDA | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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AIQA Technologies was a Polish company founded in 2019, positioning itself in the software development applications market with a focus on improving the continuous integration/continuous deployment (CI/CD) workflow. The firm developed a platform that leveraged machine learning to streamline the software testing process. Its core service was designed to significantly reduce the time required for end-to-end testing by intelligently selecting the most relevant automated tests to run. This approach aimed to optimize the automated testing process, making developers' work more efficient and precise by providing faster feedback on whether a task was complete or required further attention. The company's business model appeared to be subscription-based.
The target clients were IT companies and software development teams that rely on automated testing. By integrating with a client's existing CI/CD pipeline, the platform analyzed the relationships between source code files and tests. When changes to the code were made, it would predict which tests were most likely to be affected and prioritize them, claiming a potential reduction in test run times by up to 90%. This functionality was intended to accelerate the entire development and deployment cycle. The company operated in the CloudTech, DevOps, and Artificial Intelligence & Machine Learning verticals. Over its lifespan, AIQA Technologies raised a total of $450K through seed and accelerator rounds, with investors including Tributary Ventures. However, the company ceased operations and is now listed as out of business as of December 2022.
Keywords: AI software testing, machine learning testing, CI/CD optimization, automated test selection, software quality assurance, DevOps tools, test run time reduction, end-to-end testing, Poland startup, code analysis testing, developer productivity tools, software testing automation, AI-powered QA, test process optimization, continuous delivery testing, IT consulting, software development applications, venture-backed, cloud technology, test acceleration