Transform testing into an intelligent quality approach that connects evidence to action across the delivery lifecycle.

Modern software delivery demands more than more tests. It requires an approach that interprets signals, adjusts flow, and reduces variance so teams can make better decisions, faster. Quality becomes the connective tissue of engineering, translating evidence into action and turning insight into confidence.

At Gorilla Logic, we embed that approach into delivery. Our Intelligent Quality Engineering model uses AI and automation to surface signals, tighten feedback loops, and validate release readiness. By combining continuous testing, test data generation, and quality insights, we help teams accelerate feedback, expand coverage, and sustain confidence in every release.

Our Offerings

Reduce risk, accelerate releases, and improve software quality with AI-driven testing:

  • Quality & Performance Rapid Diagnosticbaseline quality practices and pinpoint improvement priorities
  • QA & Test Automation Roadmap & Pilot actionable automation plan validated through a working pilot
  • Test Data Generation & E2E Automation Accelerators (Construct™)”broader coverage and faster release cycles through AI-driven automation
  • Quality Insights & Release Readinessvisibility into quality metrics, automation coverage, and release health to improve confidence and governance
  • AI-Augmented Test Automation (AI-Enabled Pods)new automation to expand coverage and shorten test cycles
  • Sustaining Quality Engineering (AI-Enabled Pods) continuous enhancements, defect reduction, and performance optimization
Explore our Work