AI Consulting

Effixis navigates the data transformation with you: we offer a wide range of data & AI services to help organizations tackle their most ambitious challenges.

What we do

We develop AI solutions to tackle your most ambitious challenges

Problem solvers by heart

Before being data scientists with a high technical expertise, our team is foremost trained and ready to tackle complex business challenges, because not every case requires AI. We develop solutions tailored to your unique needs, making processes more efficient, optimizing products and unlocking new data-driven business models.

The right tech-stack for the right challenge

Developing successful data & AI solutions requires a wide range of skills and competencies. Our team covers the whole spectrum of IT and data science, allowing us to support you in the end-to-end development exactly where you need us.

Creating business value through AI

We ideatecraft, run and maintain long-lasting AI solutions that generate business value for our clients. From Proof of Concept (PoC) to the setup of a solution in production, we streamline the process of taking machine learning models to productionmaintaining and monitoring them, so you extract the most out of your data.

Increasing technology adoption overall

Whether you are new to AI or looking to take your implementation to the next level, we help you achieve your goals. AI projects are successful only if your team is ready to embrace the change in a business process. For this reason, we support you in your business transformation journey.

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sucessfully realized

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from various industries

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from different backgrounds in the team

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of experience in Data Science

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across Europe

how we do it

Our process

Embark on a seamless journey from ideation to cloud deployment with our NLP solutions – we are here to guide you every step of the way.


We will work closely with you to identify and understand your unique business requirements and objectives, so we can tailor our NLP solutions to fit your specific needs.


Once we have gathered your requirements, we will develop a Proof of Concept and Proof of Value to demonstrate the potential value and effectiveness of our NLP solutions in addressing your business needs.


Once you are satisfied with the Proof of Concept, we will deploy our NLP models and solution either on-premise or in the cloud, ensuring seamless integration with your existing infrastructure and systems.


As part of our commitment to driving meaningful impact, we will continue to work with you beyond deployment to drive workforce transformation, upskilling your employees and enabling them to make the most of our NLP solutions.

See what our customers say

Get inspired and discover how your organization can benefit from the smarter use of data & AI.

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Embark on a seamless journey from ideation to cloud deployment with our NLP solutions – we are here to guide you every step of the way.
The right data & AI strategy is fundamental for the success of digital transformation initiatives, as it provides a framework for effectively leveraging data and AI technologies to drive business outcomes.
Identify and prioritize key business problems Our experts help you identify and prioritize key business problems that can be addressed with data & AI, so your teams can focus their resources and efforts on the initiatives that will have the most impact.  Align data with business objectives The appropriate data and AI strategy can help ensure that data and AI initiatives are aligned with business objectives and that investments in these areas are targeted at the most important areas of the business.   Improve decision-making By leveraging our AI technologies, your organization can improve decision-making, enabling more informed and data-driven decisions that are based on accurate and timely insights. For more information, see the AI for Intelligence teams section here. 
Data engineering is the process of designing, building, and maintaining the infrastructure and architecture needed to collect, store, process, and analyze large volumes of data. The goal is to create a robust and reliable data architecture that can support the needs of data scientists, analysts, and business stakeholders who rely on data to make informed decisions.   Infrastructure While our preferred infrastructure is Azure, we are also capable of delivering effective solutions on other cloud platforms (GCP, AWS) or on-premise infrastructure. We have a proven track record of successfully delivering on-edge solutions, and we are constantly staying up-to-date with the latest technologies and tools to ensure that we can provide the best possible solutions for our clients. In addition, we are able to easily leverage the Open AI services to provide added value to our solutions.   Security We pay careful attention to data security and ensure that our developers easily adopt secure practices while also providing ongoing monitoring for our deployed solutions. Our goal is to make secure practices a seamless part of the development process and to maintain the security and integrity of our solutions throughout their lifecycle.    CI/CD and automation By implementing CI/CD (Continuous Integration/Continuous Deployment) pipelines, we are able to automate the process of building, testing, and deploying our applications, which helps to increase development velocity and reduce potential manual errors. CI/CD is an essential part of our approach to software development and is closely related to MLOps, which involves applying similar automation principles to machine learning workflows.
Business analytics is a critical component of modern business operations, providing organizations with the ability to derive insights from data and make informed decisions.
  Data Pipelines We build a sequence of processes that extract, transform and load data from various sources (spreadsheets, databases, APIs, and cloud storage) into a destination storage location. Our processes ensure that the data is structured, cleaned, and ready for analysis.    Dashboarding and Reporting After the data collection process, we implement dashboards using the technology that suits your needs (Power BI or Tableau), so you can gain insights from your data and take informed decisions.   Conversational Agents We leverage state-of-the-art algorithms such as GPT (Generative Pre-trained Transformers) to develop conversational agents, allowing users to directly ask questions to their databases in natural language. It allows users to explore their data and get personalized insights.
We transform the latest state-of-the-art machine learning (ML) research found in the literature into solutions that are tailored to meet the unique needs of your business, from the initial identification phase to the implementation stage.
Forecasting We identify patterns, analyze data and make predictions about future events. It can be used in a variety of applications in different sectors and business lines, including marketing to predict customer behavior, healthcare to predict billing in hospitals, and finance.   Classification & clustering These are 2 fundamental techniques in machine learning. Classification is the action of categorizing data into specific predefined categories (eg. customer segments), based on previously labeled examples. Clustering is an unsupervised technique that groups similar data points together based on similarities. The objective is to identify patterns and relationships in data without prior knowledge of categories.
Our main expertise at Effixis is leveraging Natural Language Processing (NLP) techniques for extracting valuable information from large textual data, as well as generating content for many purposes across different industries.
  Entity extraction Entity extraction involves identifying and extracting entities (such as people, places, organizations, and products) from unstructured text data. You have expertise in using NLP techniques such as named entity recognition (NER) to identify and extract entities from large volumes of textual data. Sentiment analysis Analyze the sentiment (positive, negative, or neutral) expressed in text data. You have expertise in using techniques such as machine learning and deep learning to perform sentiment analysis on large volumes of text data.
MLOps (Machine Learning Operations) is a set of practices and tools used to manage the lifecycle of machine learning models. We offer a range of services to support the deployment, monitoring, and maintenance of the AI models, making sure they are deployed, monitored and maintained:
Model Deployment We deploy your AI models to various environments, such as cloud platforms, on-premise servers, and edge devices.   Monitoring and Logging Our team monitors and logs services to track the performance of AI models in real time. We also offer automated alert systems to notify teams of any issues that arise.   Model Maintenance Our experts ensure that your AI models remain accurate and efficient over time. This includes periodic retraining of models, updating of data pipelines, and performance tuning.   Governance and Compliance Effixis provides governance and compliance services to ensure that organizations’ AI models meet regulatory requirements and ethical standards. MLOps is important because it helps organizations manage the complex and dynamic nature of machine learning models. These models can require frequent updates and adjustments to maintain accuracy and efficiency, and MLOps helps streamline this process. MLOps also helps ensure that AI models are deployed and managed in a secure and compliant manner, reducing the risk of data breaches and regulatory violations. By leveraging MLOps services like those, you can focus on creating value from your AI models rather than worrying about their maintenance and performance.


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