Projects That Drive Results

From automation tools to advanced platforms, our projects speak for themselves. Let’s build something that works beautifully.

AI

AI-Driven Risk Detection Platform

Client: Confedential

Complete design and concept for an enterprise AI platform that monitors internal systems to detect and prevent security breaches in real time using behavioral analysis.


The Challenge

Large enterprises face growing risks from internal threats, human error, and delayed breach detection due to the scale of their operations.


Our Solution

We created an AI system that learns typical user behavior, flags unusual activity, and sends alerts before damage is done — all while respecting system performance and privacy constraints.


Results

  • 50% reduction in average incident response time
  • 80% detection accuracy of abnormal behaviors
  • Seamless integration with internal SIEM tools
  • Concept received interest from 2 cybersecurity investors

Technologies Used

Python
PostgreSQL
React
Grafana
Scikit-learn
View Case Study
AI-Driven Risk Detection Platform
AI

Urban Infrastructure Optimization

Client: Confedential

Development of a city planning assistant that uses zoning, traffic, and satellite data to recommend optimal road layouts and utility planning for urban areas.


The Challenge

City planners lacked a unified system for merging geospatial insights with predictive infrastructure modeling, leading to inefficient planning.


Our Solution

We built a concept engine that processes OSM and zoning datasets, visualizes inefficiencies, and recommends smart road networks and public service placements.


Results

  • Optimized 3 simulated city districts with 25% better traffic flow
  • Visual mapping of zoning conflicts
  • Supported polygon-based and raster-layer input
  • Presented at a smart city tech event

Technologies Used

Pyrosm
GeoPandas
TensorFlow
Leaflet.js
Mapbox
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Urban Infrastructure Optimization
AI

AI Customer Support Engine

Client: Confedential

Design of an AI-powered virtual assistant to resolve customer queries using NLP, emotional tone detection, and contextual memory.


The Challenge

The client’s support team was overwhelmed with repeated tickets and poor sentiment feedback due to slow response times.


Our Solution

We deployed an AI assistant that responds to common support queries with context-aware responses, detects emotional sentiment, and auto-escalates complex cases.


Results

  • 65% reduction in first-response time
  • 40% of tickets resolved without human agents
  • 92% accuracy in sentiment classification
  • Customizable knowledge base integration

Technologies Used

Python
spaCy
FastAPI
MongoDB
Tailwind CSS
View Case Study
AI Customer Support Engine

Our Other Projects

Browse our complete portfolio of successful projects across various industries and services.

Creative Agency Website

Client: Confedential

A high-contrast, interactive website built with modern UX for a fictional creative agency.

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Financial Web Platform – Green Investments

Client: Confedential

A fintech dashboard prototype for managing and visualizing climate-focused investment portfolios.

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