Testkube Secures $8M to Match Testing with AI Speed

Testkube has closed an $8 million Series A round to push its cloud-native continuous testing platform deeper into AI-driven software development workflows.

The funding round was led by Ratmir Timashev, co-founder of Veeam, with support from Insight Partners and existing backers. Testkube co-founders Dmitry Fonarev and Ole Lensmar say the capital will accelerate product enhancements, expand the team and foster adoption across enterprises struggling with quality assurance at AI pace.

Software teams face escalating pressure to deliver features rapidly while maintaining reliability. Traditional testing tools often buckle under the velocity of AI-generated code or microservice architectures. Testkube’s approach embeds test orchestration within Kubernetes infrastructures, allowing existing tools—such as Playwright, Cypress, Selenium, k6 or Postman—to run in parallel, across environments, and with unified visibility.

Fonarev emphasised that “untested software is unsafe software” in the age of autonomous code. He contends many conventional CI/CD tools were not built for the volume, heterogeneity and speed demanded by AI-led development. Lensmar adds that development is evolving: “code is being generated by machines, and decisions are happening faster than humans can follow.”

Testkube reports having already powered over 100 million automated tests for clients ranging from startups to established firms like Adobe, Cloudflare, Siemens and Volvo. The platform enables teams to orchestrate functional, performance, security and AI-behaviour tests within a single framework, with full observability and traceability.

The company’s technology is designed to reduce “tool sprawl” by offering a central control plane that connects to multiple testing frameworks and triggers them in Kubernetes pods. Testkube’s AI integrations include intelligent test orchestration—choosing which tests to run when—and automated remedial suggestions when failures occur. Adaptive performance testing is another emerging feature, which dynamically tunes load parameters based on observed behaviour.

Analysts note that Testkube’s value lies in synchronising speed and safety. The cloud-native testing market is gaining momentum as organisations increasingly seek to embed quality assurance directly into deployment pipelines. In this environment, platforms that scale and adapt are gaining favour.

A recent shift in strategy sees Testkube promoting the use of existing Kubernetes clusters to run load testing, sidestepping third-party SaaS load testing tools and their per-virtual-user pricing. The pitch: utilise your own infrastructure more effectively, maintain data within your control plane, and reduce cost and vendor lock-in.

Within its blog and thought leadership output, Testkube is also advancing the notion that many development teams already perform test orchestration—albeit informally through scripts and CI glue logic—but lack intentionality, scalability and visibility. The firm encourages teams to elevate this into a formal, strategic layer of continuous testing.
Cookie Consent
We serve cookies on this site to analyze traffic, remember your preferences, and optimize your experience.
Oops!
It seems there is something wrong with your internet connection. Please connect to the internet and start browsing again.
AdBlock Detected!
We have detected that you are using adblocking plugin in your browser.
The revenue we earn by the advertisements is used to manage this website, we request you to whitelist our website in your adblocking plugin.
Site is Blocked
Sorry! This site is not available in your country.
Hyphen Digital Welcome to WhatsApp chat
Howdy! How can we help you today?
Type here...