Case Studies

Real problems. Real solutions. Real results.

Systems that work in production, not just demos.

Sensify

Industrial IoT Platform

Problem

An industrial IoT startup had developed sensor hardware ready for production, but lacked the backend infrastructure to process data at scale, manage devices, and automate operational alerts.

Approach

We designed a serverless architecture to handle high-frequency sensor data ingestion, real-time processing, and alert automation. The system was built with production reliability and scalability from day one.

Solution

Complete backend infrastructure deployed on AWS, including Lambda functions for data processing, IoT Core for device management, PostgreSQL for data storage, and a real-time dashboard with configurable SMS alerts.

Results

  • 24/7 uptime processing sensor data every minute
  • Real-time dashboard showing all device metrics
  • Configurable SMS alert system in production
  • Scalable architecture ready for device fleet expansion

Stack

AWS LambdaIoT CorePostgreSQLPythonAPI REST
Retail

Smart POS with Total Control

Problem

A grocery retailer was struggling with an obsolete POS system that couldn't track batch inventory, generate comparative reports, or provide visibility into operations. Owners had no way to monitor the business remotely.

Approach

We built a modern POS architecture using Electron for the desktop app, AWS Lambda for backend processing, and added an AI-powered Telegram bot to enable natural language queries about sales and inventory.

Solution

A complete POS replacement with batch inventory tracking, advanced comparative metrics, real-time operational visibility, and a Telegram bot powered by LLM that lets owners ask questions in plain language.

Results

  • Real-time sales and inventory monitoring from anywhere
  • Batch tracking with expiration date management
  • Comparative metrics across periods and locations
  • Natural language queries via Telegram bot

Stack

ElectronReactAWS LambdaPostgreSQLLLMPython
Eukitas

SaaS Fundraising Platform

Problem

Non-profit organizations lacked a modern, scalable platform to manage fundraising campaigns and accept donations online. Existing solutions were expensive and inflexible.

Approach

We designed a true multi-tenant SaaS architecture where each organization has isolated data and branding, with Stripe integration for secure payments and AWS infrastructure for automatic scaling.

Solution

A complete digital platform built with Next.js and TypeScript, featuring organization management, campaign creation, donor tracking, Stripe payment processing, and automated reporting.

Results

  • Multiple organizations managing campaigns independently
  • Secure payment processing via Stripe
  • Scalable cloud architecture handling growth automatically
  • Real SaaS model with tenant isolation

Stack

Next.jsTypeScriptAWS LambdaPostgreSQLStripe