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Solutions

Services

Partnerships

About

Blog

Let’s Talk

Scalable AI & Data Solutions for Business Growth

Build AI-ready data pipelines, optimize ML workflows, and implement Generative AI to enhance decision-making, automation, and business intelligence.

Let’s Work Together

Refine your data strategy and establish a strong foundation for seamless AI adoption.

Our data specialists collaborate with you to optimize data management and build the infrastructure required to support AI and ML adoption. By aligning your systems with best practices, we ensure scalability, efficiency, and smooth integration of advanced technologies.

Let’s Connect

Data Engineering

Build scalable data pipelines with our experts. Collect, organize, and analyze data to deploy ML models that enhance customer experience and drive value.

Our Data Engineerig Solutions:

Let’s Work Together

Build or modernize
AI-ready data stream
We help businesses create or modernize AI-ready data streams that deliver real-time, high-quality data for advanced analytics and AI-driven insights. By designing scalable, resilient pipelines, we streamline data ingestion, processing, and transformation from diverse sources. Our approach prepares your infrastructure to support machine learning models and real-time decision-making.
Moving on-premises data streams to the cloud
We migrate on-premises data streams to the cloud, enabling scalable, secure, and real-time data access for analytics. Our approach minimizes disruption, optimizes performance, and ensures data integrity, empowering you to leverage cloud-native capabilities for enhanced agility and insights.
Prepare your data streams for increased amounts of data
We optimize your data architecture to handle growing volumes, ensuring scalability, efficiency, and resilience. By implementing advanced ingestion and processing strategies, we enable seamless management of increasing data loads. This proactive approach supports future growth, maintains performance, and delivers timely insights without compromising reliability.
Implementing business intelligence (BI) and smart data
insight solutions
We transform raw data into actionable insights with tailored BI strategies, advanced analytics, and real-time reporting. Our solutions enhance decision-making, monitor performance, and provide businesses with the tools to uncover trends and drive strategic growth.
Providing data engineering teams
Our dedicated data engineering teams specialize in building and maintaining robust data infrastructures tailored to your business needs. We design scalable data pipelines, ensure data quality, and optimize data storage solutions to support analytics and business intelligence initiatives. By seamlessly integrating with your existing teams, we help you harness the full potential of your data for informed decision-making and strategic growth.
Build or modernize
AI-ready data stream
We help businesses create or modernize AI-ready data streams that deliver real-time, high-quality data for advanced analytics and AI-driven insights. By designing scalable, resilient pipelines, we streamline data ingestion, processing, and transformation from diverse sources. Our approach prepares your infrastructure to support machine learning models and real-time decision-making.
Moving on-premises data streams to the cloud
We migrate on-premises data streams to the cloud, enabling scalable, secure, and real-time data access for analytics. Our approach minimizes disruption, optimizes performance, and ensures data integrity, empowering you to leverage cloud-native capabilities for enhanced agility and insights.
Prepare your data streams for increased amounts of data
We optimize your data architecture to handle growing volumes, ensuring scalability, efficiency, and resilience. By implementing advanced ingestion and processing strategies, we enable seamless management of increasing data loads. This proactive approach supports future growth, maintains performance, and delivers timely insights without compromising reliability.
Implementing business intelligence (BI) and smart data
insight solutions
We transform raw data into actionable insights with tailored BI strategies, advanced analytics, and real-time reporting. Our solutions enhance decision-making, monitor performance, and provide businesses with the tools to uncover trends and drive strategic growth.
Providing data engineering teams
Our dedicated data engineering teams specialize in building and maintaining robust data infrastructures tailored to your business needs. We design scalable data pipelines, ensure data quality, and optimize data storage solutions to support analytics and business intelligence initiatives. By seamlessly integrating with your existing teams, we help you harness the full potential of your data for informed decision-making and strategic growth.
Build or modernize
AI-ready data stream
We help businesses create or modernize AI-ready data streams that deliver real-time, high-quality data for advanced analytics and AI-driven insights. By designing scalable, resilient pipelines, we streamline data ingestion, processing, and transformation from diverse sources. Our approach prepares your infrastructure to support machine learning models and real-time decision-making.
Moving on-premises data streams to the cloud
We migrate on-premises data streams to the cloud, enabling scalable, secure, and real-time data access for analytics. Our approach minimizes disruption, optimizes performance, and ensures data integrity, empowering you to leverage cloud-native capabilities for enhanced agility and insights.
Prepare your data streams for increased amounts of data
We optimize your data architecture to handle growing volumes, ensuring scalability, efficiency, and resilience. By implementing advanced ingestion and processing strategies, we enable seamless management of increasing data loads. This proactive approach supports future growth, maintains performance, and delivers timely insights without compromising reliability.
Implementing business intelligence (BI) and smart data
insight solutions
We transform raw data into actionable insights with tailored BI strategies, advanced analytics, and real-time reporting. Our solutions enhance decision-making, monitor performance, and provide businesses with the tools to uncover trends and drive strategic growth.
Providing data engineering teams
Our dedicated data engineering teams specialize in building and maintaining robust data infrastructures tailored to your business needs. We design scalable data pipelines, ensure data quality, and optimize data storage solutions to support analytics and business intelligence initiatives. By seamlessly integrating with your existing teams, we help you harness the full potential of your data for informed decision-making and strategic growth.
Build or modernize
AI-ready data stream
We help businesses create or modernize AI-ready data streams that deliver real-time, high-quality data for advanced analytics and AI-driven insights. By designing scalable, resilient pipelines, we streamline data ingestion, processing, and transformation from diverse sources. Our approach prepares your infrastructure to support machine learning models and real-time decision-making.
Moving on-premises data streams to the cloud
We migrate on-premises data streams to the cloud, enabling scalable, secure, and real-time data access for analytics. Our approach minimizes disruption, optimizes performance, and ensures data integrity, empowering you to leverage cloud-native capabilities for enhanced agility and insights.
Prepare your data streams for increased amounts of data
We optimize your data architecture to handle growing volumes, ensuring scalability, efficiency, and resilience. By implementing advanced ingestion and processing strategies, we enable seamless management of increasing data loads. This proactive approach supports future growth, maintains performance, and delivers timely insights without compromising reliability.
Implementing business intelligence (BI) and smart data
insight solutions
We transform raw data into actionable insights with tailored BI strategies, advanced analytics, and real-time reporting. Our solutions enhance decision-making, monitor performance, and provide businesses with the tools to uncover trends and drive strategic growth.
Providing data engineering teams
Our dedicated data engineering teams specialize in building and maintaining robust data infrastructures tailored to your business needs. We design scalable data pipelines, ensure data quality, and optimize data storage solutions to support analytics and business intelligence initiatives. By seamlessly integrating with your existing teams, we help you harness the full potential of your data for informed decision-making and strategic growth.

AI & ML

WeKan specializes in machine learning, computer vision, and predictive analytics, helping businesses improve efficiency and drive innovation.

our AI & ML Services:

AI Readiness consulting
We assess your organization’s current capabilities and readiness for AI adoption. Through comprehensive evaluations of your data infrastructure, technology stack, and business processes, we identify gaps and opportunities to help you leverage AI effectively.
AI Engineering
Our team designs, develops, and deploys AI solutions tailored to your business needs. We focus on building scalable machine learning models, integrating AI into existing systems, and optimizing data pipelines to enhance performance and extract meaningful insights.
ML Engineering
We provide end-to-end machine learning expertise, from data preparation and model development to deployment and ongoing optimization. Our approach ensures ML models are scalable, secure, and aligned with your business objectives, delivering actionable insights and intelligent automation.
AI Readiness consulting
We assess your organization’s current capabilities and readiness for AI adoption. Through comprehensive evaluations of your data infrastructure, technology stack, and business processes, we identify gaps and opportunities to help you leverage AI effectively.
AI Engineering
Our team designs, develops, and deploys AI solutions tailored to your business needs. We focus on building scalable machine learning models, integrating AI into existing systems, and optimizing data pipelines to enhance performance and extract meaningful insights.
ML Engineering
We provide end-to-end machine learning expertise, from data preparation and model development to deployment and ongoing optimization. Our approach ensures ML models are scalable, secure, and aligned with your business objectives, delivering actionable insights and intelligent automation.
AI Readiness consulting
We assess your organization’s current capabilities and readiness for AI adoption. Through comprehensive evaluations of your data infrastructure, technology stack, and business processes, we identify gaps and opportunities to help you leverage AI effectively.
AI Engineering
Our team designs, develops, and deploys AI solutions tailored to your business needs. We focus on building scalable machine learning models, integrating AI into existing systems, and optimizing data pipelines to enhance performance and extract meaningful insights.
ML Engineering
We provide end-to-end machine learning expertise, from data preparation and model development to deployment and ongoing optimization. Our approach ensures ML models are scalable, secure, and aligned with your business objectives, delivering actionable insights and intelligent automation.
AI Engineering
Our team designs, develops, and deploys AI solutions tailored to your business needs. We focus on building scalable machine learning models, integrating AI into existing systems, and optimizing data pipelines to enhance performance and extract meaningful insights.
ML Engineering
We provide end-to-end machine learning expertise, from data preparation and model development to deployment and ongoing optimization. Our approach ensures ML models are scalable, secure, and aligned with your business objectives, delivering actionable insights and intelligent automation.

Let’s Work Together

Generative AI

Deploy Generative AI with confidence. From data preparation to seamless integration, our AI solutions drive efficiency and deliver measurable business impact.

Some of our Generative AI Services:

LLMs into Your Business
Leverage Generative AI to enhance decision-making, uncover valuable insights, and streamline operations. Our ML engineers support everything from strategic design to execution, ensuring end-to-end AI implementation that drives efficiency and competitive advantage.
Vector Semantic Search
Enhance search accuracy with context-aware AI. By capturing language nuances, our solution helps users find relevant information beyond simple keyword searches. Ideal for recommendation systems, knowledge retrieval, and NLP applications, Vector Semantic Search improves search relevance and delivers deeper insights.
GenAI Development
From text and image generation to personalized recommendations, we design and implement AI solutions tailored to your business. With expertise in model training, fine-tuning, and seamless integration, we enable organizations to harness GenAI for creativity, efficiency, and a competitive edge.
Fine-tuning AI Models
Optimize pre-trained models to align with your business needs. By refining model parameters with your unique data, we enhance relevance, accuracy, and precision. Our AI solutions are tailored to industry requirements, ensuring optimal performance and meaningful outcomes within your operational context.
LLMs into Your Business
Leverage Generative AI to enhance decision-making, uncover valuable insights, and streamline operations. Our ML engineers support everything from strategic design to execution, ensuring end-to-end AI implementation that drives efficiency and competitive advantage.
Vector Semantic Search
Enhance search accuracy with context-aware AI. By capturing language nuances, our solution helps users find relevant information beyond simple keyword searches. Ideal for recommendation systems, knowledge retrieval, and NLP applications, Vector Semantic Search improves search relevance and delivers deeper insights.
GenAI Development
From text and image generation to personalized recommendations, we design and implement AI solutions tailored to your business. With expertise in model training, fine-tuning, and seamless integration, we enable organizations to harness GenAI for creativity, efficiency, and a competitive edge.
Fine-tuning AI Models
Optimize pre-trained models to align with your business needs. By refining model parameters with your unique data, we enhance relevance, accuracy, and precision. Our AI solutions are tailored to industry requirements, ensuring optimal performance and meaningful outcomes within your operational context.
LLMs into Your Business
Leverage Generative AI to enhance decision-making, uncover valuable insights, and streamline operations. Our ML engineers support everything from strategic design to execution, ensuring end-to-end AI implementation that drives efficiency and competitive advantage.
Vector Semantic Search
Enhance search accuracy with context-aware AI. By capturing language nuances, our solution helps users find relevant information beyond simple keyword searches. Ideal for recommendation systems, knowledge retrieval, and NLP applications, Vector Semantic Search improves search relevance and delivers deeper insights.
GenAI Development
From text and image generation to personalized recommendations, we design and implement AI solutions tailored to your business. With expertise in model training, fine-tuning, and seamless integration, we enable organizations to harness GenAI for creativity, efficiency, and a competitive edge.
Fine-tuning AI Models
Optimize pre-trained models to align with your business needs. By refining model parameters with your unique data, we enhance relevance, accuracy, and precision. Our AI solutions are tailored to industry requirements, ensuring optimal performance and meaningful outcomes within your operational context.
LLMs into Your Business
Leverage Generative AI to enhance decision-making, uncover valuable insights, and streamline operations. Our ML engineers support everything from strategic design to execution, ensuring end-to-end AI implementation that drives efficiency and competitive advantage.
Vector Semantic Search
Enhance search accuracy with context-aware AI. By capturing language nuances, our solution helps users find relevant information beyond simple keyword searches. Ideal for recommendation systems, knowledge retrieval, and NLP applications, Vector Semantic Search improves search relevance and delivers deeper insights.
GenAI Development
From text and image generation to personalized recommendations, we design and implement AI solutions tailored to your business. With expertise in model training, fine-tuning, and seamless integration, we enable organizations to harness GenAI for creativity, efficiency, and a competitive edge.
Fine-tuning AI Models
Optimize pre-trained models to align with your business needs. By refining model parameters with your unique data, we enhance relevance, accuracy, and precision. Our AI solutions are tailored to industry requirements, ensuring optimal performance and meaningful outcomes within your operational context.

Let’s Work Together

AI solutions in action

Explore how our AI-driven solutions have transformed businesses across industries, improving efficiency, accuracy, and decision-making.

Are you ready
to adopt to
Gen AI?

Enterprise Architecture Transformation

Leverage our GenAI-powered application modernization to cut migration times in half while significantly increasing development speed for new applications.

Find Out More!

Case Studies

Below is some of the work we’ve done over the years.

Travel
Amadeus
WeKan in partnership with MongoDB helped Amadeus modernize its Revenue Management System resulting in improved customer experience. Amadeus was running their Revenue Management System (RMS) on an on-prem Oracle database, but the redo log performance was poor, with a throughput of only 360 MB/sec even at peak performance. This resulted in latency when calculating the availability and pricing of airline tickets, resulting in a poor customer experience.
Application Modernisation
Logistics
GETIR
The Getir team is using MongoDB to support the different use cases of their applications, from real-time tracking of deliveries, to analytical queries for data analysis. Wekan helped Getir by focusing on the infrastructure improvements related to MongoDB Atlas by right sizing and auto-scaling as required. For subsequent improvements, we would require the involvement of the application teams to optimize further.

The Objective of the work was to assist the customer by optimizing the MongoDB Atlas deployments within their ecosystem to accomplish gains in cost benefits without degrading the performance of applications
Application Modernisation
Logistics
SNCF
CapGemini lead System Integrator at SNCF, hired Wekan as a specialized SI in order to accelerate development and go-to-market for their SMT application built on top of MongoDB. Our team of on-site architects and software engineers worked hand-in-hand with CapGemini on the creation of a new Microservice called Charge de Maintenance Potentiel restant” which main purpose is to allow SNCF team to programmatically understand remaining potential for allocation of Assets (trains) whilst taking into consideration required operations of maintenance. This Application Modernisation workload is a part of a Three-year transformation program at SNCF.
Application Modernisation
Oracle Replace
Travel
Amadeus
WeKan in partnership with MongoDB helped Amadeus modernize its Revenue Management System resulting in improved customer experience. Amadeus was running their Revenue Management System (RMS) on an on-prem Oracle database, but the redo log performance was poor, with a throughput of only 360 MB/sec even at peak performance. This resulted in latency when calculating the availability and pricing of airline tickets, resulting in a poor customer experience.
Application Modernisation
Logistics
GETIR
The Getir team is using MongoDB to support the different use cases of their applications, from real-time tracking of deliveries, to analytical queries for data analysis. Wekan helped Getir by focusing on the infrastructure improvements related to MongoDB Atlas by right sizing and auto-scaling as required. For subsequent improvements, we would require the involvement of the application teams to optimize further.

The Objective of the work was to assist the customer by optimizing the MongoDB Atlas deployments within their ecosystem to accomplish gains in cost benefits without degrading the performance of applications
Application Modernisation
Logistics
SNCF
CapGemini lead System Integrator at SNCF, hired Wekan as a specialized SI in order to accelerate development and go-to-market for their SMT application built on top of MongoDB. Our team of on-site architects and software engineers worked hand-in-hand with CapGemini on the creation of a new Microservice called Charge de Maintenance Potentiel restant” which main purpose is to allow SNCF team to programmatically understand remaining potential for allocation of Assets (trains) whilst taking into consideration required operations of maintenance. This Application Modernisation workload is a part of a Three-year transformation program at SNCF.
Application Modernisation
Oracle Replace
Travel
Amadeus
WeKan in partnership with MongoDB helped Amadeus modernize its Revenue Management System resulting in improved customer experience. Amadeus was running their Revenue Management System (RMS) on an on-prem Oracle database, but the redo log performance was poor, with a throughput of only 360 MB/sec even at peak performance. This resulted in latency when calculating the availability and pricing of airline tickets, resulting in a poor customer experience.
Application Modernisation
Logistics
GETIR
The Getir team is using MongoDB to support the different use cases of their applications, from real-time tracking of deliveries, to analytical queries for data analysis. Wekan helped Getir by focusing on the infrastructure improvements related to MongoDB Atlas by right sizing and auto-scaling as required. For subsequent improvements, we would require the involvement of the application teams to optimize further.

The Objective of the work was to assist the customer by optimizing the MongoDB Atlas deployments within their ecosystem to accomplish gains in cost benefits without degrading the performance of applications
Application Modernisation
Logistics
SNCF
CapGemini lead System Integrator at SNCF, hired Wekan as a specialized SI in order to accelerate development and go-to-market for their SMT application built on top of MongoDB. Our team of on-site architects and software engineers worked hand-in-hand with CapGemini on the creation of a new Microservice called Charge de Maintenance Potentiel restant” which main purpose is to allow SNCF team to programmatically understand remaining potential for allocation of Assets (trains) whilst taking into consideration required operations of maintenance. This Application Modernisation workload is a part of a Three-year transformation program at SNCF.
Application Modernisation
Oracle Replace
Travel
Amadeus
WeKan in partnership with MongoDB helped Amadeus modernize its Revenue Management System resulting in improved customer experience. Amadeus was running their Revenue Management System (RMS) on an on-prem Oracle database, but the redo log performance was poor, with a throughput of only 360 MB/sec even at peak performance. This resulted in latency when calculating the availability and pricing of airline tickets, resulting in a poor customer experience.
Application Modernisation
Logistics
GETIR
The Getir team is using MongoDB to support the different use cases of their applications, from real-time tracking of deliveries, to analytical queries for data analysis. Wekan helped Getir by focusing on the infrastructure improvements related to MongoDB Atlas by right sizing and auto-scaling as required. For subsequent improvements, we would require the involvement of the application teams to optimize further.

The Objective of the work was to assist the customer by optimizing the MongoDB Atlas deployments within their ecosystem to accomplish gains in cost benefits without degrading the performance of applications
Application Modernisation
Logistics
SNCF
CapGemini lead System Integrator at SNCF, hired Wekan as a specialized SI in order to accelerate development and go-to-market for their SMT application built on top of MongoDB. Our team of on-site architects and software engineers worked hand-in-hand with CapGemini on the creation of a new Microservice called Charge de Maintenance Potentiel restant” which main purpose is to allow SNCF team to programmatically understand remaining potential for allocation of Assets (trains) whilst taking into consideration required operations of maintenance. This Application Modernisation workload is a part of a Three-year transformation program at SNCF.
Application Modernisation
Oracle Replace