Virtuoso
Automation testing: cloud-based test automation | Virtuoso QA.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
| investor investor investor | €0.0 | round | |
| investor investor investor | €0.0 | round | |
* | $13.3m | Series A | |
| Total Funding | 000k | ||
| USD | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 13 % | 9 % | 71 % | 169 % | 129 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Virtuoso has established itself as a significant player in the software quality assurance sector, offering a platform designed to streamline and automate the testing process. The company was founded in 2016 by Adil Surani. Surani's background as a test automation consultant, where he repeatedly encountered the limitations and inefficiencies of traditional testing tools, directly informed the creation of Virtuoso. He aimed to build a solution that could overcome the brittleness of script-based automation and the high maintenance overhead associated with it.
The firm's core offering is an AI-powered, no-code test automation platform that operates entirely in the cloud. This platform addresses the challenges of modern software development by enabling both technical and non-technical personnel to create and manage tests. Virtuoso's business model is centered on a subscription-based service, providing access to its platform for a recurring fee. The company targets a broad range of clients, from startups to large enterprises, operating within the DevOps and continuous integration/continuous deployment (CI/CD) markets.
Virtuoso's platform functions by using bots, driven by Robotic Process Automation (RPA) and machine learning, to scan applications and automatically generate tests from simple, plain English inputs. A key feature is its self-healing capability; when an application's underlying code changes, the platform's AI automatically updates the test scripts, significantly reducing the manual maintenance typically required. This allows quality assurance to be integrated earlier and more effectively into the development lifecycle, enabling teams to build, test, and release software at a much faster pace. The platform supports end-to-end testing across various browsers, devices, and operating systems without requiring any local installation, as it is fully browser-based.
Keywords: software testing, quality assurance, test automation, no-code platform, AI-powered testing, DevOps, CI/CD, robotic process automation, self-healing tests, end-to-end testing
