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In software development, quality assurance has become a time sink. Manual testing is slow, expensive, and often pushed aside when deadlines loom. Even automation tools, supposedly built to save time, require constant upkeep, including writing scripts, maintaining baselines, and recording workflows. But what if testing could truly run itself?
That’s the question driving Treegress, a new AI-native QA platform that offers more than “no-code” convenience. Treegress puts software testing on autopilot. No setup, no scripting: just input a URL, and let the system handle test generation, execution, and analysis. With its MVP launching in July, Treegress is redefining what automation means for B2B SaaS teams and complex web applications.
From frustration to innovation
Treegress began with a shared frustration. Co-founders Oleg Lola and Anna Karnaukh both witnessed firsthand how poor testing practices led to quality issues, burnout, and product delays. Anna, a PMP-certified program manager, observed how testing was continually squeezed out of tight timelines. Oleg, founder of the software development firm MobiDev, knew AI could offer more than surface-level support.
Rather than relying on screenshots, prompts, or brittle record-and-replay tools, Treegress approaches automation with intelligence. The goal wasn’t just speed; it was clarity, predictability, and long-term stability.
Their experience led to a simple yet bold idea: to make software testing truly autonomous by designing an AI system that understands how modern web solutions actually function. Not just how they look, but how they behave, adapt, and respond over time.
A technical advantage built on deep understanding
What makes Treegress stand apart isn’t a bigger LLM or another visual recognition engine. It’s how the system understands what it’s testing. Built on a proprietary DOM serialization and element recognition engine, Treegress interprets not only the structure of web elements but also their behavior and context.
This deep system-level knowledge enables Treegress to perform tasks that surpass those of other tools. It handles JavaScript hydration, tracks DOM mutations in real-time, and even detects non-semantic elements—such as a clickable div—based on behavior, not labels. The platform employs a progressive degradation strategy to assign locator stacks to each component, enabling it to be self-healing and resilient to UI changes.
Treegress doesn’t need to guess what the user wants to test. It infers intent from structure, behavior, and patterns, offering higher reliability and reduced maintenance compared to tools that rely on visual cues or manually recorded flows. This is enabled by a multi-agent architecture; serialization is just the first step. Treegress also includes specialized AI agents for test case generation and verification, as well as a self-healing engine. Combined with its integrated test management system, this setup allows users to automate quality assurance with minimal manual effort.
Eliminating the busywork of QA
Most no-code testing platforms still rely on significant user input. You record user flows, define test steps, and set environments. Treegress skips all that. Its AI takes over from the moment a URL is entered, with no need for baselines or prompt engineering. This saves hours per sprint, making it ideal for teams managing complex, business-critical workflows, such as CRMs, ERPs, and enterprise portals.
It also avoids the noise that comes from comparing pixels. Treegress evaluates usability, layout, and content, not just visual changes. That means fewer false positives, less maintenance, and more meaningful alerts.
As a result, Treegress becomes a reliable part of the team, running continuously, adapting as the product evolves, and catching issues long before they reach customers. It’s not just a testing tool. It’s QA infrastructure.
Built for what’s next
Treegress is industry-agnostic, but designed for high-impact verticals, including deep tech, AI, robotics, quantum computing, and beyond. While pre-revenue, its upcoming MVP launch is expected to draw attention. In a few years, the company envisions Treegress as the go-to QA companion: an autonomous agent that tests like a real user and flags issues before they reach production.
Teams that don’t modernize their QA processes risk falling behind, burdened by tech debt and inefficient workflows. Treegress offers a smarter path forward.To learn more or join the waitlist, visit Treegress and experience true no-code quality assurance automation.
