Welcome to Prodigi Solutions
AI solutions tailored to your business needs
Leveraging cutting-edge AI technologies into your workflow, driving efficiency, innovation, and growth.
Welcome to Prodigi Solutions
Professional Data Solutions
Leveraging cutting-edge AI technologies into your workflow, driving efficiency, innovation, and growth.
Welcome to Prodigi Solutions
Microsoft Cloud Technologies
Leveraging cutting-edge AI technologies into your workflow, driving efficiency, innovation, and growth.
Welcome to Prodigi Solutions
AI solutions tailored to your business needs
Leveraging cutting-edge AI technologies into your workflow, driving efficiency, innovation, and growth.
Welcome to Prodigi Solutions
Professional Data Solutions
Leveraging cutting-edge AI technologies into your workflow, driving efficiency, innovation, and growth.
Welcome to Prodigi Solutions
Microsoft Cloud Technologies
Leveraging cutting-edge AI technologies into your workflow, driving efficiency, innovation, and growth.
Welcome to Prodigi Solutions
AI solutions tailored to your business needs
Leveraging cutting-edge AI technologies into your workflow, driving efficiency, innovation, and growth.
Welcome to Prodigi Solutions
Professional Data Solutions
Leveraging cutting-edge AI technologies into your workflow, driving efficiency, innovation, and growth.
Welcome to Prodigi Solutions
Microsoft Cloud Technologies
Leveraging cutting-edge AI technologies into your workflow, driving efficiency, innovation, and growth.
Welcome to Prodigi Solutions
AI solutions tailored to your business needs
Leveraging cutting-edge AI technologies into your workflow, driving efficiency, innovation, and growth.
Welcome to Prodigi Solutions
Professional Data Solutions
Leveraging cutting-edge AI technologies into your workflow, driving efficiency, innovation, and growth.
Welcome to Prodigi Solutions
Microsoft Cloud Technologies
Leveraging cutting-edge AI technologies into your workflow, driving efficiency, innovation, and growth.
Trusted by 25+ companies
Services
Services
Services
Transform your business with Data
Transform your business with Data
Transform your business with Data
Seamless MS Fabric Integration
We dive deep into your business processes to identify areas ready to gather data. We engage with your business & IT teams, analyze needs and pinpoint where MS Fabric can make a big impact.
Seamless MS Fabric Integration
We dive deep into your business processes to identify areas ready to gather data. We engage with your business & IT teams, analyze needs and pinpoint where MS Fabric can make a big impact.
ML/MLOPS Development
Unlock the potential of advanced Machine Learning services within MS Fabric. Prodigi Solutions will deliver end to end ML/GenAI solutions for your company.
Generating Answer:
Our team of experts specializes in building custom GPT models tailored to your specific needs, whether it's text generation, language translation, or content summarization.
Write here…
ML/MLOPS Development
Unlock the potential of advanced Machine Learning services within MS Fabric. Prodigi Solutions will deliver end to end ML/GenAI solutions for your company.
Generating Answer:
Our team of experts specializes in building custom GPT models tailored to your specific needs, whether it's text generation, language translation, or content summarization.
Write here…
Generate PBI Dashboars with Co-Pilot
Gain strategic insights and actionable recommendations with Microsoft Fabric AI-powered business consulting services.
Conversion
Sales
Generate PBI Dashboars with Co-Pilot
Gain strategic insights and actionable recommendations with Microsoft Fabric AI-powered business consulting services.
Conversion
Sales
Digital Transformation
Chart a course for success in the rapidly evolving digital landscape with our AI strategy development services.
Vision
Planning
Marketing
Digital Transformation
Chart a course for success in the rapidly evolving digital landscape with our AI strategy development services.
Vision
Planning
Marketing
Seamless MS Fabric Integration
We dive deep into your business processes to identify areas ready to gather data. We engage with your business & IT teams, analyze needs and pinpoint where MS Fabric can make a big impact.
ML/MLOPS Development
Unlock the potential of advanced Machine Learning services within MS Fabric. Prodigi Solutions will deliver end to end ML/GenAI solutions for your company.
Generating Answer:
Our team of experts specializes in building custom GPT models tailored to your specific needs, whether it's text generation, language translation, or content summarization.
Write here…
Generate PBI Dashboars with Co-Pilot
Gain strategic insights and actionable recommendations with Microsoft Fabric AI-powered business consulting services.
Conversion
Sales
Digital Transformation
Chart a course for success in the rapidly evolving digital landscape with our AI strategy development services.
Vision
Planning
Marketing
Services
Services
Services
Capabilities
Microsoft
Microsoft
Microsoft
MS Fabric
Data Governance
Data Activator
POWER BI
Data Factory
Informatica
Data Science
Tableau
Process
Empower Your Growth with
Tailored Solutions
1.
Pro-Forecast
Forecasting Solution that fits your business needs, with options for scalability and customization.
1.
Pro-Forecast
Forecasting Solution that fits your business needs, with options for scalability and customization.
2.
API Integration
Our experts review your request and schedule a consultation to discuss your specific needs.
2.
API Integration
Our experts review your request and schedule a consultation to discuss your specific needs.
3.
Pro-Finance
We deliver a solution tailored to your requirements with a clear and detailed timeline.
3.
Pro-Finance
We deliver a solution tailored to your requirements with a clear and detailed timeline.
4.
Training
We improve and iterate based on performance monitoring and analysis.
4.
Training
We improve and iterate based on performance monitoring and analysis.
Benefits
What we offer
Efficiency Improvement
Streamline your business operations and needs with MS Fabric cloud service solutions.
Cost Reduction
Reduce operational costs by gathering all the data sources in to Microsoft Fabric Platform.
Customization
Let all the users to create their own model, self service BI platform in Microsoft Fabric Platform.
Scalability
Scale your operations seamlessly with AI automation that can adapt to your growing business needs.
Improved Accuracy
Increase accuracy and reduce errors in data processing and decision-making with data-driven solutions.
Data Insights
Unlock valuable insights from your data, enabling Co-Pilot in PowerBI.
ProDigi With Numbers.
Completed Projects
Happy Customers
Years of Experience
Happy Colleagues
Work
Some of our work
2025
Energy
Fabric Migration
Overview:
One of the main challenges in the energy sector ,is the instant increase in size of data and the disability of existing systems to scale sufficiently against this growth. Performance bottlenecks experienced in large data processes make it increasingly difficult to maintain and manage the system. In order to follow innovations in technology and move to a more scalable, flexible and modern infrastructure, we initiated the Microsoft Fabric transformation project with the decision of Entek. The advanced data processing capabilities, ease of integration and scalable architecture offered by Fabric made this transition inevitable.
Challenge:
One of the main challenges in the energy sector ,is the instant increase in size of data and the disability of existing systems to scale sufficiently against this growth. Performance bottlenecks experienced in large data processes make it increasingly difficult to maintain and manage the system.
Solution:
In order to follow innovations in technology and move to a more scalable, flexible and modern infrastructure, we initiated the Microsoft Fabric transformation project with the decision of Entek. The advanced data processing capabilities, ease of integration and scalable architecture offered by Fabric made this transition inevitable.
Result:
Reduced response times by 50%, improved customer satisfaction scores by 30% and freed up human agents to focus on more complex issues.
2025
Energy
Fabric Migration
Overview:
One of the main challenges in the energy sector ,is the instant increase in size of data and the disability of existing systems to scale sufficiently against this growth. Performance bottlenecks experienced in large data processes make it increasingly difficult to maintain and manage the system. In order to follow innovations in technology and move to a more scalable, flexible and modern infrastructure, we initiated the Microsoft Fabric transformation project with the decision of Entek. The advanced data processing capabilities, ease of integration and scalable architecture offered by Fabric made this transition inevitable.
Challenge:
One of the main challenges in the energy sector ,is the instant increase in size of data and the disability of existing systems to scale sufficiently against this growth. Performance bottlenecks experienced in large data processes make it increasingly difficult to maintain and manage the system.
Solution:
In order to follow innovations in technology and move to a more scalable, flexible and modern infrastructure, we initiated the Microsoft Fabric transformation project with the decision of Entek. The advanced data processing capabilities, ease of integration and scalable architecture offered by Fabric made this transition inevitable.
Result:
Reduced response times by 50%, improved customer satisfaction scores by 30% and freed up human agents to focus on more complex issues.
2025
Energy
Fabric Migration
Overview:
One of the main challenges in the energy sector ,is the instant increase in size of data and the disability of existing systems to scale sufficiently against this growth. Performance bottlenecks experienced in large data processes make it increasingly difficult to maintain and manage the system. In order to follow innovations in technology and move to a more scalable, flexible and modern infrastructure, we initiated the Microsoft Fabric transformation project with the decision of Entek. The advanced data processing capabilities, ease of integration and scalable architecture offered by Fabric made this transition inevitable.
Challenge:
One of the main challenges in the energy sector ,is the instant increase in size of data and the disability of existing systems to scale sufficiently against this growth. Performance bottlenecks experienced in large data processes make it increasingly difficult to maintain and manage the system.
Solution:
In order to follow innovations in technology and move to a more scalable, flexible and modern infrastructure, we initiated the Microsoft Fabric transformation project with the decision of Entek. The advanced data processing capabilities, ease of integration and scalable architecture offered by Fabric made this transition inevitable.
Result:
Reduced response times by 50%, improved customer satisfaction scores by 30% and freed up human agents to focus on more complex issues.
2024-2025
Airline
ML/MLOPS Projects
Overview:
This case study explores how a financial institution automated its document processing tasks using AI technology. By deploying an AI-driven system capable of extracting and analyzing data from various documents, the company was able to streamline its operations, reduce errors, and expedite decision-making processes.
Challenge:
Manual processing of loan applications leading to bottlenecks and delays in approvals.
Solution:
With the team we have developed "Payload Prediction", "Delay Prediction", "Spare Part Wheel and Brake Prediction", "Trip Fuel Prediction" projects.
Result:
The developed model has an accuracy rate of over 95% in weight estimation per flight. The savings in fuel consumption have reduced carbon emissions.
2024-2025
Airline
ML/MLOPS Projects
Overview:
This case study explores how a financial institution automated its document processing tasks using AI technology. By deploying an AI-driven system capable of extracting and analyzing data from various documents, the company was able to streamline its operations, reduce errors, and expedite decision-making processes.
Challenge:
Manual processing of loan applications leading to bottlenecks and delays in approvals.
Solution:
With the team we have developed "Payload Prediction", "Delay Prediction", "Spare Part Wheel and Brake Prediction", "Trip Fuel Prediction" projects.
Result:
The developed model has an accuracy rate of over 95% in weight estimation per flight. The savings in fuel consumption have reduced carbon emissions.
2024-2025
Airline
ML/MLOPS Projects
Overview:
This case study explores how a financial institution automated its document processing tasks using AI technology. By deploying an AI-driven system capable of extracting and analyzing data from various documents, the company was able to streamline its operations, reduce errors, and expedite decision-making processes.
Challenge:
Manual processing of loan applications leading to bottlenecks and delays in approvals.
Solution:
With the team we have developed "Payload Prediction", "Delay Prediction", "Spare Part Wheel and Brake Prediction", "Trip Fuel Prediction" projects.
Result:
The developed model has an accuracy rate of over 95% in weight estimation per flight. The savings in fuel consumption have reduced carbon emissions.
2024
Call Center
Customer support
Overview:
We examine how Call Center company optimized its customer support processes using MS PowerBI. By implementing dashboards based on call data, the company streamlined its customer interactions, reducing response times and enhancing user satisfaction.
Challenge:
High volume of customer inquiries leading to long response times and decreased customer satisfaction.
Solution:
Implementing PowerBI reports to handle common customer needs and provide real-time support.
Result:
Reduced response times by 50%, improved customer satisfaction scores by 30%, and freed up human agents to focus on more complex issues.
2024
Call Center
Customer support
Overview:
We examine how Call Center company optimized its customer support processes using MS PowerBI. By implementing dashboards based on call data, the company streamlined its customer interactions, reducing response times and enhancing user satisfaction.
Challenge:
High volume of customer inquiries leading to long response times and decreased customer satisfaction.
Solution:
Implementing PowerBI reports to handle common customer needs and provide real-time support.
Result:
Reduced response times by 50%, improved customer satisfaction scores by 30%, and freed up human agents to focus on more complex issues.
2024
Call Center
Customer support
Overview:
We examine how Call Center company optimized its customer support processes using MS PowerBI. By implementing dashboards based on call data, the company streamlined its customer interactions, reducing response times and enhancing user satisfaction.
Challenge:
High volume of customer inquiries leading to long response times and decreased customer satisfaction.
Solution:
Implementing PowerBI reports to handle common customer needs and provide real-time support.
Result:
Reduced response times by 50%, improved customer satisfaction scores by 30%, and freed up human agents to focus on more complex issues.
2025
Finance
Financial KPI
Overview:
This case study explores how a financial institution automated its document processing tasks using AI technology. By deploying an AI-driven system capable of extracting and analyzing data from various documents, the company was able to streamline its operations, reduce errors, and expedite decision-making processes.
Challenge:
The trial balance and tax declaration data of +30 companies within the holding cannot be consolidated and displayed or requires a lot of time.
Solution:
We will receive data from the companies and modeling on Microsoft Fabric and reporting it on Power BI in a way suitable for Copilot use and at the same time ensuring the establishment of a hierarchical structure between the holding and companies using RLS.
Result:
By automating the systems, we prevent human errors and reduce a significant amount of effort. At the same time, it is possible to make comparisons using AI on the basis of all items within and between companies.
2025
Finance
Financial KPI
Overview:
This case study explores how a financial institution automated its document processing tasks using AI technology. By deploying an AI-driven system capable of extracting and analyzing data from various documents, the company was able to streamline its operations, reduce errors, and expedite decision-making processes.
Challenge:
The trial balance and tax declaration data of +30 companies within the holding cannot be consolidated and displayed or requires a lot of time.
Solution:
We will receive data from the companies and modeling on Microsoft Fabric and reporting it on Power BI in a way suitable for Copilot use and at the same time ensuring the establishment of a hierarchical structure between the holding and companies using RLS.
Result:
By automating the systems, we prevent human errors and reduce a significant amount of effort. At the same time, it is possible to make comparisons using AI on the basis of all items within and between companies.
2025
Finance
Financial KPI
Overview:
This case study explores how a financial institution automated its document processing tasks using AI technology. By deploying an AI-driven system capable of extracting and analyzing data from various documents, the company was able to streamline its operations, reduce errors, and expedite decision-making processes.
Challenge:
The trial balance and tax declaration data of +30 companies within the holding cannot be consolidated and displayed or requires a lot of time.
Solution:
We will receive data from the companies and modeling on Microsoft Fabric and reporting it on Power BI in a way suitable for Copilot use and at the same time ensuring the establishment of a hierarchical structure between the holding and companies using RLS.
Result:
By automating the systems, we prevent human errors and reduce a significant amount of effort. At the same time, it is possible to make comparisons using AI on the basis of all items within and between companies.
2025
ENERGY / TRAVEL
CARBON FOOTPRINT
Overview:
This case aims to improve visibility over employee travel activities and measure their environmental impact. By collecting travel data—including flight, car rental, and accommodation details—into a centralized system, the company gains the ability to monitor which employees are traveling, where they are, and how much carbon footprint is generated per trip. This data-driven approach enables better planning, sustainability awareness, and corporate responsibility tracking.
Challenge:
As employee travel volumes increased, it became difficult to track who was where at any given time. Additionally, there was no structured way to calculate or report the environmental impact of these travels. The lack of a unified system for gathering travel data hindered both operational transparency and sustainability reporting.
Solution:
We developed a reporting infrastructure that integrates travel-related data—including flights, rental cars, and hotel stays—into Microsoft Fabric. Using Power BI, we created dashboards that allow real-time visibility of employee locations and automatically calculate carbon emissions per travel type using predefined formulas and emissions factors.
Result:
Increased operational transparency, improved coordination for traveling employees, and enabled the company to monitor and reduce its carbon footprint by 20% through awareness and better travel planning.
2025
ENERGY / TRAVEL
CARBON FOOTPRINT
Overview:
This case aims to improve visibility over employee travel activities and measure their environmental impact. By collecting travel data—including flight, car rental, and accommodation details—into a centralized system, the company gains the ability to monitor which employees are traveling, where they are, and how much carbon footprint is generated per trip. This data-driven approach enables better planning, sustainability awareness, and corporate responsibility tracking.
Challenge:
As employee travel volumes increased, it became difficult to track who was where at any given time. Additionally, there was no structured way to calculate or report the environmental impact of these travels. The lack of a unified system for gathering travel data hindered both operational transparency and sustainability reporting.
Solution:
We developed a reporting infrastructure that integrates travel-related data—including flights, rental cars, and hotel stays—into Microsoft Fabric. Using Power BI, we created dashboards that allow real-time visibility of employee locations and automatically calculate carbon emissions per travel type using predefined formulas and emissions factors.
Result:
Increased operational transparency, improved coordination for traveling employees, and enabled the company to monitor and reduce its carbon footprint by 20% through awareness and better travel planning.
2025
ENERGY / TRAVEL
CARBON FOOTPRINT
Overview:
This case aims to improve visibility over employee travel activities and measure their environmental impact. By collecting travel data—including flight, car rental, and accommodation details—into a centralized system, the company gains the ability to monitor which employees are traveling, where they are, and how much carbon footprint is generated per trip. This data-driven approach enables better planning, sustainability awareness, and corporate responsibility tracking.
Challenge:
As employee travel volumes increased, it became difficult to track who was where at any given time. Additionally, there was no structured way to calculate or report the environmental impact of these travels. The lack of a unified system for gathering travel data hindered both operational transparency and sustainability reporting.
Solution:
We developed a reporting infrastructure that integrates travel-related data—including flights, rental cars, and hotel stays—into Microsoft Fabric. Using Power BI, we created dashboards that allow real-time visibility of employee locations and automatically calculate carbon emissions per travel type using predefined formulas and emissions factors.
Result:
Increased operational transparency, improved coordination for traveling employees, and enabled the company to monitor and reduce its carbon footprint by 20% through awareness and better travel planning.
About us
Who we are
Our story
This is a journey. A path set out by 6 data-loving minds to support companies.
We offer custom solutions and support companies in all steps of their IT journey.
Our goal is to be a company that is known in the world in its field and has provided customer satisfaction in the next ten years.
The People Behind The Magic
Our team is comprised of dedicated professionals who are passionate about leveraging data intelligence to drive innovation.
About:
Together with his team, he has been providing consultancy services in data analysis, modeling and reporting for many years. He is enthusiastic about simplifying and explaining large systems and processes. He is also passionate about illustrating data analysis with compositions and powerful and impactful designs.
About:
Together with his team, he has been providing consultancy services in data analysis, modeling and reporting for many years. He is enthusiastic about simplifying and explaining large systems and processes. He is also passionate about illustrating data analysis with compositions and powerful and impactful designs.
About:
Together with his team, he has been providing consultancy services in data analysis, modeling and reporting for many years. He is enthusiastic about simplifying and explaining large systems and processes. He is also passionate about illustrating data analysis with compositions and powerful and impactful designs.
About:
As a consultant focused on data, he overcomes the projects and leads the products energy market. He actively contributes to Microsoft Fabric transformation initiatives and support the modernization of both on-premises and cloud-based data platforms. From ETL workflows to data modeling, reporting, and performance analytics, he is an expert on delivering end-to-end solutions that help energy companies build more efficient and sustainable decision support systems.
About:
As a consultant focused on data, he overcomes the projects and leads the products energy market. He actively contributes to Microsoft Fabric transformation initiatives and support the modernization of both on-premises and cloud-based data platforms. From ETL workflows to data modeling, reporting, and performance analytics, he is an expert on delivering end-to-end solutions that help energy companies build more efficient and sustainable decision support systems.
About:
As a consultant focused on data, he overcomes the projects and leads the products energy market. He actively contributes to Microsoft Fabric transformation initiatives and support the modernization of both on-premises and cloud-based data platforms. From ETL workflows to data modeling, reporting, and performance analytics, he is an expert on delivering end-to-end solutions that help energy companies build more efficient and sustainable decision support systems.
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