Code with Purpose,
 AI with Impact

We don’t just build software – we craft intelligent systems. Our projects combine the precision of code with the depth of AI to address real-world challenges in automation, decision-making, data analysis, and beyond. These case studies reflect how we turn possibility into performance.

News Article Proofreading
Farm Profit Management & Planning
AI Based Factory Automatization
Workday Management Software

News Article Proofreading

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News Article Proofreading

Mission

The project aimed to advance media monitoring with cutting-edge NLP, tackling the challenge of quickly and accurately capturing the most relevant articles among the hundreds of thousands published daily.

Execution

We built an AI system that classifies multilingual articles in real time, using advanced language models to ensure scalability and consistent quality across hundreds of thousands of documents daily.

Outcome

The solution streamlines media monitoring by reducing manual work, speeding up response time, and ensuring key information is delivered through advanced NLP and robust infrastructure.

Farm Profit Management
& Planning

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Farm Profit Management & Planning

Mission

The objective was to help agribusiness stakeholders make smarter, data-driven investment decisions.
We aimed to uncover hidden patterns in farmer transactions that impact profitability

Execution

Our approach combined statistical evaluation with data modeling to identify profit drivers. Patterns of investment and resource allocation were mapped and compared.

Outcome

The client gained a clear view of which activities and investments delivered the highest returns.
They were able to prioritize resources with confidence and reduce inefficiencies.

AI Based Factory
Automatization

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AI Based Factory Automatization

Mission

The aim of the project was to modernize and automate the quality control process for roof tile manufacturers. We set out to reduce dependency on manual inspection, which is often time-consuming and error-prone.

Execution

We developed an AI-driven system combining imaging, acoustic analysis, and topographic scanning. Each tile is processed in real time to detect cracks, irregularities, or structural defects.
 The system automatically classifies tiles into first-class, second-class, or defective categories.

Outcome

This integration ensured a fully automated inspection pipeline with minimal human intervention. Manufacturers achieved faster and more reliable quality control across production lines. Error rates in defect detection decreased significantly compared to manual inspection.

Workday Management
Software

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Workday Management Software

Mission

We wanted to remove the clutter of fragmented apps and bring everything into one seamless system. The goal was not just task tracking, but creating a smarter, stress-free way of working.

Execution

We developed an intuitive in-house system for managing tasks and workflows. The platform consolidates everything users need in one place, from task tracking to prioritization.

Outcome

Our solution helps employees stay organized, manage tasks efficiently, and have all essential tools and information at their fingertips – making daily work smoother and more productive.

Smart Foil Monitoring System

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Smart Foil Monitoring System

Mission

The project was initiated with the goal of increasing reliability in foil processing. We set out to address a common challenge in production — we tried to identify foil creasing at the earliest possible stage in order to secure consistent quality and minimize unnecessary losses.

Execution

To achieve this, we developed a monitoring system capable of detecting foil creasing in real time. The system provides clear visual and auditory alerts, while adjustable sensitivity levels allow it to be tailored to different production requirements.

Outcome

With this approach, foil processing becomes more predictable, efficient, and cost-effective. The solution not only reduces waste and downtime but also supports higher production standards by ensuring that potential defects are recognized before they escalate.

Satellite-Based Landfill Monitoring System

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Satellite-Based Landfill Monitoring System

Mission

Enable smarter environmental protection by providing a centralized platform for monitoring landfills and supporting data-driven decision-making.

Execution

Leverage satellite imagery (Copernicus Sentinel-2), GIS, and AI to detect illegal dumpsites, track changes in real time, and generate alerts and reports.

Outcome

Authorities gain timely insights and actionable data, improving response speed, reducing environmental risks, and enabling scalable expansion across sectors.

AI in National Electricity Provider

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AI in National Electricity Provider

Mission

Assess how AI and IoT can enhance the performance of the national electricity provider and identify high-impact opportunities for transformation. Define a clear strategic direction aligned with global trends and best practices in the energy sector.

Execution

Conduct a comprehensive analysis of operations, supported by data collection, advanced analytics, and modeling of potential AI applications. Map tailored AI-driven solutions and evaluate their feasibility, risks, and implementation potential.

Outcome

Deliver a strategic roadmap for AI adoption, including defined use cases and pilot projects ready for implementation. Enable improved efficiency, reduced costs, and increased reliability and sustainability of the electricity system.