Revolutionary autonomous testing agent catches 847 bugs monthly while reducing QA cycle time from weeks to days TORONTO, ON – QA flow, a venture studio product Revolutionary autonomous testing agent catches 847 bugs monthly while reducing QA cycle time from weeks to days TORONTO, ON – QA flow, a venture studio product

QA flow Launches AI-Powered Testing Platform to Reduce Software Bugs by 60% for Series B+ Startups

Revolutionary autonomous testing agent catches 847 bugs monthly while reducing QA cycle time from weeks to days

TORONTO, ON – QA flow, a venture studio product by Islands (11207393 Canada Inc.), today announced the official launch of its AI-powered quality assurance automation platform designed specifically for Series B+ SaaS companies. The platform uses autonomous AI agents to detect bugs, propose fixes, and deploy solutions without human intervention, addressing the critical QA bottleneck that plagues fast-growing technology companies.

Traditional QA testing requires dedicated engineering resources and extends product development cycles by weeks. QA flow’s autonomous agents run comprehensive test suites 24/7, reducing the average QA cycle from14 days to 3 days while catching 60% more bugs than manual testing processes.

“We built QA flow because we saw the same problem across 40+ client engagements,” said Islands CEO. “Engineering teams were spending more time testing than building. Our AI agents handle the repetitive work autonomously, freeing developers to focus on innovation.”

The platform has already demonstrated significant impact across early adopter companies. One Series B fintech client reduced their QA cycle time by 82% while eliminating 90% of bugs that previously reached production.

Another enterprise SaaS company redeployed two full-time QA engineers to product development, saving$240,000 annually while improving software quality.

QA flow‘s proprietary technology combines GPT-4’s reasoning capabilities with custom workflow orchestration to create truly autonomous testing agents. Unlike traditional automation tools that require constant human oversight, QA flow’s agents make independent decisions about which tests to run, analyze results, and propose fixes based on code changes.

“The difference between automation and autonomy is massive,” explained the Islands CTO. “Automation runs scripts you’ve written. Autonomy means the AI decides what needs testing, executes it, and improves over time without human direction.”

The platform includes comprehensive monitoring dashboards, real-time alerting, and detailed analytics that track success rates, cost per test, and time savings. Companies can start with a single workflow and scale to full test suite automation within weeks.

QA flow is currently available through a managed service model at $1,999 per month, which includes dedicated setup, ongoing optimization, and customer success support. The company is also preparing to launch QA flow University, a certification program for QA professionals looking to master AI-powered testing methodologies.

Early access to QA flow is available now for Series B+ SaaS companies with engineering teams of 15 or more. Interested companies can apply at qaflow.com/ early-access.

About QA flow

QA flow is an AI-powered quality assurance automation platform built by Islands, a Toronto-based venture studio specializing in AI transformation for Series B+ companies. The platform uses autonomous AI agents to detect bugs, propose fixes, and deploy solutions, reducing QA cycle time by up to 82% while improving software quality. QA flow is trusted by fintech, enterprise SaaS, and technology companies across North America. For more information, visit qaflow.com.

Media Contact:

QA flow PR Team

team@qaflow.com

https://www.qaflow.com/

Another enterprise SaaS company reassigned two full-time QA engineers into product development roles, eliminating redundant testing costs. The move saved $240,000 per year while accelerating release cycles, strengthening cross-functional ownership, reducing defects earlier in development, and ultimately improving overall software quality, reliability, customer satisfaction, and team productivity across the organization.

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