Software testing, software quality, test automation news for financing and acquisition of load testing, unit testing, functional testing and DevOps tools.
BotGauge AI Quality-Assurance-as-a-Solution startup has raised $2 million in funding led by Surface Ventures (New York), with participation from IA Seed Ventures (Berkeley) and Saka Ventures (New York).
Vector Informatik has acquired the RocqStat software technology and the expert team from StatInf. This acquisition enhances Vector’s capabilities in timing analysis and worst-case execution time (WCET) estimation, supporting the growing demand for reliable software verification in safety-critical systems.
The LambdaTest software testing tool company has announced its rebrand to TestMu AI. The new name is supposed to mirror its evolution from a cloud testing platform to an Agentic AI Quality Engineering platform.
Anthropic has released Bloom, an open source agentic framework for generating behavioral evaluations of frontier AI models. Bloom takes a researcher-specified behavior and quantifies its frequency and severity across automatically generated scenarios. This allows testing of AI-based systems by evaluating their behavior.
Xoriant has announced the acquisition of TestDevLab, a Latvia‑headquartered software quality engineering company. TestDevLab’s Baltic and Macedonian delivery centers will further strengthen Xoriant’s European presence with access to top engineering talent and EU innovation ecosystems.
Momentic has raised a $15 million Series A led by Standard Capital, with participation from Dropbox Ventures and existing investors Y Combinator, FCVC, Transpose Platform, and Karman Ventures. This funding should accelerate its mission to build the definitive verification layer for software.
OpenText, Capgemini and Sogeti have announced the 17th edition of the World Quality Report 2025: Adapting to Emerging Worlds. The report reveals that while nearly 90% of organizations are now actively pursuing generative AI (Gen AI) in their quality engineering (QE) practices, only 15% have achieved enterprise-scale deployment.