ACCELQ, a leader in AI-powered test automation, has been recognized as the “AI-based Engineering Solution of the Year” in the 8th annual AI Breakthrough Awards. This prestigious accolade highlights ACCELQ Autopilot’s innovative, no-code solution that transforms software testing with AI-driven automation across the entire testing lifecycle.
ACCELQ Autopilot wins 2025 AI Breakthrough Award for engineering.
No-code platform automates testing from discovery to optimization.
Features AI-driven Scenario Discovery and Test Step Generator.
Autonomous Healing Engine adapts to UI/API changes dynamically.
Integrates with CI/CD pipelines and DevOps toolchains.
Recognized among 5,000+ global nominations for AI innovation.
ACCELQ Autopilot leverages an AI-powered agentic architecture to streamline software testing for QA engineers. Its no-code platform automates the entire testing lifecycle, including scenario discovery, test generation, execution, maintenance, and optimization. “Autopilot transforms enterprise test automation with AI that discovers, creates, and maintains tests autonomously, all in one streamlined flow,” said Steve Johansson, managing director, AI Breakthrough. This recognition underscores ACCELQ’s impact on achieving quality at the speed of innovation.
The platform’s modular AI system includes key components like the Scenario Discovery Engine, which learns workflows from live apps, wireframes, or business descriptions, and the Test Step Generator, which converts high-level test intent into executable flows. The No-Code Logic Builder translates natural language into automated logic with real-time validation, while the AI Test Case Generator creates data-driven test variations. The Autonomous Healing Engine dynamically adapts to UI/API changes, ensuring robust testing with minimal manual intervention.
ACCELQ Autopilot is designed to evolve with enterprise needs. “Thank you to AI Breakthrough for the ‘AI-based Engineering Solution of the Year’ award. This is just the beginning as we are continuously evolving Autopilot into a self-learning AI quality assistant that integrates deeper into CI/CD pipelines, DevOps toolchains, and model-driven testing frameworks,” said Mahendra Alladi, CEO of ACCELQ. Planned integrations for design systems and risk-based test prioritization aim to make Autopilot a default AI assistant for software quality in agile enterprises.
Selected from over 5,000 nominations across 20 countries, ACCELQ Autopilot stands out for its ability to shift teams from reactive to proactive quality assurance. Unlike typical generative AI solutions that produce limited code snippets, Autopilot delivers scalable, adaptive automation, reducing manual intervention and boosting release velocity. “More than a testing platform, ACCELQ Autopilot is a revolutionary AI solution empowering engineers to achieve quality at the speed of innovation,” added Johansson.
The 2025 AI Breakthrough Award cements ACCELQ Autopilot’s role as a game-changer in software testing. By combining no-code accessibility with advanced AI, it empowers QA teams to deliver high-quality software efficiently, aligning with the demands of modern, AI-native enterprises and setting a new standard for intelligent test automation.
ACCELQ offers AI-powered No-Code test automation and management built on a cloud-native platform. ACCELQ provides a unified platform for web, mobile, API, database, and packaged apps. Automation-first, codeless capabilities make it easy to use for testing teams without deep programming expertise. ACCELQ allows businesses to achieve 7.5x productivity and over 72% savings with its industry-first autonomics-based automation platform.
Part of Tech Breakthrough, a leading market intelligence and recognition platform for global technology innovation and leadership, the AI Breakthrough Awards program is devoted to honoring excellence in Artificial Intelligence technologies, services, companies and products. The AI Breakthrough Awards provide public recognition for the achievements of AI companies and products in categories including Generative AI, Machine Learning, AI Platforms, Robotics, Business Intelligence, AI Hardware, Computer Vision and more.
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