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

Building a Production-Ready Canva-like Editor with Konva.js, React 19 and Next.js 15
This blog explains how to build a production-ready canvas editor with Konva.js, React, and Next.js, covering architecture, performance, and key engineering decisions.

Why AI Agents Fail in Production: Building Systems That Recover | Pushkar
Pushkar’s thegeekconf mini talk explores why AI agents that perform well in demos often struggle in production, and how loud failures, clean context, step monitoring, guardrails, and better agent loops can make them more reliable and predictable.

GeekyAnts Launches AntFlow AI for Spec-Driven Software Engineering
This article covers the launch of AntFlow AI and its spec-driven approach to agentic software development.

GeekyAnts Introduces Report Intelligence Accelerator to Reduce Manual Executive Reporting Work
Report Intelligence Accelerator turns business data into executive-ready reports while keeping human review and governance in place.

Building PCI DSS-Ready AI Finance Products: Chatbot Architecture, Payment Security, and Production Challenges
A practical guide to building PCI DSS-compliant AI finance products, covering chatbot architecture, payment security, and governance for enterprise leaders.

What a PHP-to-NestJS Banking Migration Taught Us About Architecture, Security, and Trust
This blog explores the architecture, security, performance, and documentation lessons from migrating a legacy PHP/Laravel banking platform to NestJS.




