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Microsoft Analytics on Azure Partner

Transform Your Data into Intelligent Decisions

Prodigi Solutions delivers end-to-end Business Intelligence and AI solutions powered by Microsoft Fabric and Azure.

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40+
Experts
75%
Certified
30+
Enterprise Clients
Microsoft Fabric Excellence

Next-Gen Analytics with Microsoft Fabric

Experience the unified data platform of the future. We help you migrate, architect, and optimize your entire data estate on Fabric.

Fabric Services Our Roadmap
100%
Cloud Native
One
Unified Lake
Real-time
Insights
AI & Machine Learning

Predictive Power for Industrial Innovation

From payload prediction to smart call analytics. Our ML & AI CoE builds custom models that solve real-world industry challenges.

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MLOps
Standard
Deep
Learning
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ROI
About Us

Prodigi Solutions Yazılım A.Ş.

Founded in June 2022, we are a fast-growing data & AI company headquartered at Biruni Teknopark, Istanbul. Our second office in Kozyatağı serves as a branch hub, with a Netherlands office coming soon for European expansion.

Our team of 40 seasoned professionals brings an average of 6.5 years of specialized experience in data engineering, analytics, and machine learning — ensuring every project delivers measurable business value.

Azure Solutions Architect Expert Azure Data Engineer Azure Data Scientist Azure AI Engineer Power BI Data Analyst Fabric Analytics Engineer
✅ Microsoft Analytics on Azure Partner

40+

Employees

6.5y

Avg. Expert Experience

75%

Certified Engineers

2

Office Locations

Capabilities

Our Centers of Excellence

Four specialized practice areas covering the full data ecosystem — from strategy and governance to AI implementation and managed operations.

🗄️

Data CoE

  • Data Strategy
  • Data Modelling
  • Data Integration
  • Master Data Management (MDM)
  • Data Governance
📊

Analytical CoE

  • Data Warehouse Solutions
  • Industry-Specific Use Cases
  • Customer Segmentation
  • Advanced Modelling
  • IoT / Data Lake Foundation
🤖

ML & AI CoE

  • Cloud Architecture & Services
  • AI Implementation
  • ML / MLOps Library
  • Predictive Maintenance
  • Forecasting & Clustering
⚙️

Managed Services

  • 5×9 Operation Services
  • 7×24 Critical Support
  • SLA-based Activity Management
🏗️

Microsoft Fabric Platform Services

  • Data Integration (Data Factory)
  • Data Engineering (Synapse)
  • Data Warehouse (Synapse)
  • Data Science (Synapse)
  • Real-Time Analytics
  • Business Intelligence (Power BI)
  • Unified Data Foundation (OneLake)
  • Observability (Data Activator)
Innovations

Innovative Products

PSight
AI Data Assistant

PSight

PSight is an on‑premise AI data assistant that lets organizations query their SSAS Tabular models using natural language. Without needing SQL or DAX expertise, it instantly transforms business questions into insights, delivering results as tables or visualizations while keeping all data securely within the company’s infrastructure.

Capabilities

  • Natural Language Querying: Ask questions in English or Turkish, automatically converted into DAX queries.
  • Smart Error Correction: AI reads SSAS error messages and self‑corrects faulty queries.
  • Conversation Memory: Remembers the last five turns, enabling refined follow‑up questions.
  • Automatic Visualization: Generates bar charts, line charts, or tables based on data structure.
  • Multi‑Model & Multi‑LLM Support: Connects to multiple SSAS Tabular models and works with Ollama, LM Studio, or vLLM backends.
End-to-End

Our Project Roadmap

We cover the entire data value chain — from raw data sources to AI-powered business intelligence.

📥

Business & Data Analysis

Requirements gathering, data quality, documentation

🔄

Data Transfer

Azure Data Flow, SSIS, NiFi, Informatica ETL pipelines

🏛️

Data Model

Inmon / Kimball / Hybrid warehouse architecture

📈

Analytics & Reporting

Power BI, Qlik, Tableau, Tabular Model

🧠

Advanced Analytics

Demand, segmentation, optimization — R, Python, Azure ML

← Full Business Intelligence Spectrum →
Portfolio

Data Science Projects

Measurable outcomes across industries.

✈️

Payload Prediction

This regression model analyzes flight and passenger data to reduce pre-takeoff load weight deviation from 750 kg to 190 kg. Integrated with Azure ML, it maximizes flight planning capacity and operational efficiency through automated MLOps processes.

Accuracy: 94.2%
⏱️

Delay Prediction

By analyzing flight history and real-time weather, this model predicts operational delays with a margin of error of just 7 minutes. It supports proactive planning, significantly enhancing passenger satisfaction and resource management.

Error: ±7m
⚙️

Smart Spare Parts Stock Optimization

Leveraging hybrid time-series algorithms, this system achieves over 96% accuracy in predicting location-based parts requirements. It minimizes procurement waiting times and reduces inventory costs within just three months of deployment.

Precision: 96%+
🏭

Press Machine Tonnage Prediction

A regression model developed with Azure ML predicts press tonnage in automotive production lines with ±20-ton precision. Real-time parameter analysis helps extend equipment lifespan and maintain consistent product quality.

Precision: ±20t
⛽

Trip Fuel Prediction

This ML-based model optimizes operational costs by reducing fuel consumption variance per flight from 315 to 130 liters. Its continuous learning infrastructure serves as a digital audit mechanism for long-term fuel efficiency.

Impact: -58% Variance
🏥

Length of Stay Prediction in Healthcare

Built on Microsoft Fabric, this MLOps-driven classification model predicts daily hospital stay durations for diabetes patients. It improves hospital capacity planning and resource allocation, increasing operational efficiency.

Efficiency: +22%
⚡

Grid-Based Energy Consumption Forecasting

An integrated service leveraging portfolio and weather data forecasts 45-day consumption for 1,000 smart meters with 93% accuracy. The model enhances precision in energy management and supports strategic planning and portfolio optimization.

Accuracy: 93%
📈

Electricity Market Price Forecasting (PTF)

A machine learning model trained on energy, economic, and weather data predicts hourly market prices with a deviation as low as 7%. These high-accuracy forecasts provide a strategic advantage in energy trading and strengthen financial risk management.

Deviation: <7%
🧪

Industrial Alcohol Processing Time Prediction

Using sensor data and Microsoft Fabric AutoML , this solution predicts recipe-based processing times with only 9% deviation. It removes uncertainty from production planning, enabling faster and more predictable operations.

Deviation: 9%
🔬

Polymer Production Anomaly Detection

A classification model achieving 97% accuracy detects real-time production anomalies by monitoring solid ratios in polymer processes.

Accuracy: 97%
🌋

Geothermal Production Optimization

This optimization-driven approach identifies critical parameters to increase daily average production by 3.73 MW. With 95% accuracy, the system ensures a data-driven path to maximizing energy output.

Impact: +3.73 MW
💧

Geothermal Brine Flow Rate Optimization

The optimization model, which simulates pollution and maintenance processes in power plant lines, has identified an additional earnings potential of approximately 5 million TL over 16 months. Balancing maintenance costs with production efficiency, this structure provides the ideal cleaning schedule to maximize net profit.

ROI: 5M TL
🌤️

Weather-Driven Energy Forecasting (Flash Prediction)

Utilizing a two-stage approach, this system predicts cooling water temperatures and energy production 24 hours in advance with 94% accuracy. It serves as a vital decision support tool for reliable energy supply planning in geothermal power plants.

Accuracy: 94%
🧵

Carbon Fiber RCA

Within the scope of this project, machine learning is used to identify the parameters causing quality defects like "Flatness" and "Dry Fiber." This approach increases production efficiency and standardizes quality through root cause analysis.

Efficiency: Optimized
TRUSTED BY

Our Clients

Proud to serve leading enterprises across automotive, energy, retail, healthcare,
aviation, and finance.

Collaboration

How We Work Together

Flexible engagement models tailored to your project needs — from turnkey delivery to long-term managed operations.

🎯

Project-Based

Turnkey project approach with fixed scope, timeline, and deliverables. Ideal for well-defined transformation initiatives.

👥

Dedicated Team

Embedded team with diverse competencies assigned exclusively to your project — scaling up or down as needed.

🛡️

Managed Service

SLA-based ongoing operations and activity management with 5x9 or 7x24 support coverage.

Microsoft Incentives · Advanced Specialization Partner
CONTACT

Let's Build Something Together

Ready to unlock the full potential of your data? Reach out and our team will get back to you within one business day.

🏢

Headquarters

Biruni Teknopark, Istanbul, Turkey

📍

Branch Office

Kozyatağı, Istanbul, Turkey

🌍

International

Netherlands Office — Coming Soon

✉️

Email

info@prodigisol.com

Send Us a Message