Every case study below is a story of a real business problem solved with the right technology. Numbers don't lie — here's what we've delivered.
ContentFlow Studio, a content agency managing 12+ creator channels, was drowning in repetitive production work. We built a full LangChain-powered content pipeline that automated ideation, scripting outlines, SEO optimization, and cross-platform repurposing.
Their team of 5 was spending 80% of their time on templated, repeatable tasks — research, scripting, format adaptation — leaving little room for creative strategy. They had tried ChatGPT but couldn't get consistent, on-brand outputs.
We built a custom multi-agent pipeline using LangChain and GPT that ingests trending topic data, generates brand-aligned scripts, adapts content for YouTube, Instagram, and LinkedIn, and produces SEO metadata automatically.
"3 Square transformed how we operate. The ROI was immediate."
— Priya Sharma, Founder
RetailEdge, a growing e-commerce SME with 3,000+ monthly support tickets, needed to scale customer support without hiring more agents. We deployed a RAG-based AI support system connected to their product catalog and FAQs.
Their 4-person support team was overwhelmed with repetitive queries about order status, returns, and product specs. Average response time had grown to 8 hours. Customer satisfaction was declining.
We built a Claude-powered support agent with full RAG integration into their Shopify product database, order management system, and FAQ docs. The agent handles tier-1 queries autonomously and escalates edge cases with full context to human agents.
"Just showed up and it worked. No technical headaches whatsoever."
— Rahul Gupta, CEO
TechScale, a B2B SaaS company with a 40,000-line codebase, was running entirely manual QA. Every release required a 2-week manual regression cycle that blocked product velocity. We built a full Playwright E2E automation suite integrated into their CI/CD.
The engineering team was shipping features fast but QA was the bottleneck. Manual testing covered only 40% of critical paths. Three consecutive releases had production incidents that slipped through.
We architected a Playwright-based E2E test suite covering 200+ user journeys, integrated it into GitHub Actions for automated regression on every PR, and built a Grafana-based reporting dashboard for real-time test visibility.
"Our team now ships with real confidence. Game-changing."
— Marcus Chen, VP Engineering
FinQuick needed a financial analytics dashboard for their SME clients — replacing a slow, outdated Excel-based reporting process. We designed and built a full-stack React + FastAPI platform with real-time data visualization and bank API integration.
SME clients were receiving monthly static PDF reports. Finance teams needed real-time insights but had no technical infrastructure. The previous vendor had delivered an unusable product after 6 months.
We built a React + TypeScript frontend with Recharts dashboards, a FastAPI backend with PostgreSQL, and integrated Open Banking APIs for automatic transaction syncing. Deployed to AWS with a full CI/CD pipeline.
"Delivered what two previous vendors couldn't in half the time."
— Aryan Mehta, CTO
EduCore, an online learning platform, wanted to offer personalized tutoring at scale without hiring hundreds of human tutors. We built an AI tutoring assistant powered by GPT with a custom RAG system trained on their entire course curriculum.
With 10,000+ enrolled students and only 15 human tutors, response times for student questions averaged 48 hours. Students were churning due to lack of immediate support. A generic chatbot had failed previously because it couldn't handle subject-specific questions.
We built a GPT-powered AI tutor with a Pinecone vector store containing their full 500+ hour course library. The system understands curriculum context, handles multi-turn conversations, tracks student progress, and escalates complex topics to human tutors with full conversation context.
"Students love it. Completion rates went up 35%. That's real impact."
— Neha Sharma, Product Lead
ShopMind needed a Flutter mobile app (iOS + Android) with an embedded AI recommendation engine that increased average order value. We built the full app from design to App Store launch in 10 weeks.
Their web platform was converting well but 70% of traffic was mobile with no native app. A third-party recommendation engine was producing irrelevant suggestions and failing to account for real-time inventory and seasonal trends.
We built a Flutter app with a custom AI recommendation system using collaborative filtering and LLM-augmented product descriptions. The backend used FastAPI with Redis for real-time inventory-aware recommendations.
"10 weeks from wireframes to App Store. Exactly what we needed."
— Dev Kapoor, CEO
Every project above started with a 30-minute discovery call. Let's figure out your biggest opportunity together.
