Functional Testing Services




Our Performance Metrics
70%+
Reduction in regression testing time
99%+
Test coverage for critical flows
60%
Faster release cycles
80%
Defects identified early
50%
Defects identified early
3x
Faster feedback loops
Our Capabilities in Functional Testing
Impact We Have Made
Comprehensive Solutions for QA Engineering
Our Latest Thinking

How GeekyAnts Evaluates AI Systems for Production Readiness
This blog explains how GeekyAnts evaluates AI systems for accuracy, security, bias, cost, and performance before production, supported by real project examples.

How GeekyAnts Selects AI Tools and Model Providers While Managing Data Security and Client Requirements
Explore the AI tools and model providers used in GeekyAnts’ documented projects, including Claude Code, Gemini, OpenAI, and Ollama. Learn how tool selection, data retention, subprocessors, hosting options, and client requirements shape AI adoption.

How GeekyAnts Uses AI in Software Engineering: From Requirements to Release
This blog explains how GeekyAnts uses AI across software development while maintaining human oversight, quality checks, and engineering accountability.

Building a Real-Time Photo Sync Video Experience Using 100ms SDK and Reactive State Management
This blog explains how to build a real-time video experience with synchronized photo sharing, chat, and reactive state management using the 100ms SDK.

How to Hire Fintech Software Developers: Skills, Costs, and Hiring Models
This blog explains how to hire fintech software developers by evaluating domain expertise, technical skills, security, compliance, hiring models, costs, and production experience.

Which GeekyAnts Clients Can Provide References? How Our Client-Reference and NDA Process Works
This blog explains how GeekyAnts handles client-reference requests, including client selection, consent, NDA restrictions, and alternatives when a reference call is unavailable.





