BrowserStack today released its State of AI in Software Testing 2026 report, showing how AI has become central to modern testing, while highlighting the practical gaps that slow adoption.

When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity.

BotGauge AI, a US-headquartered Autonomous Quality-Assurance-as-a-Solution startup that owns software quality outcomes rather than selling tools, has raised $2 million in funding led by Surface ...

However, inventory mistakes silently pile up. Any delay in synchronizing warehouse software with your commerce platform can lead to overselling. An ERP or order management data mapping problem may ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Botgauge AI, a US-based autonomous software testing startup, has raised $2 million led by Surface Ventures, with ...

Quality assurance teams across modern software development face a new reality. AI enabled applications do not behave like traditional systems. Outputs shift based on context....Read More The post ...

Agentic AI startup BotGauge AI has raised $2 Mn (about ₹18.1 Cr) in a funding round led by Surface Ventures. IA Seed Ventures ...

New SmartFox AI capability scores tests by proven impact, ending guesswork of test prioritization. QA teams don't lack ...

Choosing the right test management tool directly impacts your team's ability to ship quality software fast. QA teams today juggle manual tests, automated suites, scattered documentation, and ...

Software quality often slips not because of major flaws, but because of small cracks in the software development lifecycle ...

These innovative technology solutions are tailored to meet the unique challenges faced by quality assurance teams, enabling them to work more efficiently and effectively. By leveraging the latest ...