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 Local LLMs Using Dart FFI And llama.cpp: Beyond Wrapper Packages
Build local LLMs in Flutter with Dart FFI and llama.cpp, and see how native bridges, GGUF models, memory management, and token streaming enable private, on-device AI.

My Flutter App Froze With Three Photos on Screen. Here's What I Was Doing Wrong
This blog explains how rethinking Flutter’s image-processing architecture fixed severe performance issues and improved rendering efficiency.

AI in Wealth Management: What It Takes to Turn a Smart Demo Into a Production-Ready Product
Learn what it takes to turn an AI wealth management demo into a production-ready product. Explore production-readiness criteria, architecture, data foundations, governance, monitoring, rollout strategies, and AI product engineering considerations.

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.




