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machine learning development


If you are in need of state-of-the-art machine learning development services, STS Software GmbH is your one-stop-shop.

STS Software GmbH is home to a team of top-notch data scientists and machine learning experts, who are committed to coming up with game-changing solutions for various sectors. Hence, we take pride in being an industry-leading machine learning development company that focuses on solving problems in a variety of industries via the creation and deployment of machine learning-based applications.

machine learning development company

We are proud of our long track record of providing exceptional software solutions.


STS Software GmbH’s expertise in machine learning development services is at the heart of what we provide. With the extensive background and expertise, our seasoned specialists turn raw data into insights that drive businesses forward.

Machine Learning Consulting & Strategy Building

Our goal at STS Software GmbH - a top machine learning development company is to help companies grasp the revolutionary potential of AI-powered products.

  • Determine if machine learning can help the client solve business challenges and achieve its objectives.
  • Identify use cases in the client's workflows and processes that might benefit from machine learning solutions.
  • Educate executives on ML capabilities, limits, and recommended practices.
  • Create an organized plan for ML adoption based on business goals.
  • Evaluate various ML tools and solution providers to suggest the best match.

MLOps Consulting

Here at STS Software GmbH, we take pride in having been a reliable machine learning development company around the world in general and in the European region in particular. Improve the performance of your machine learning models by using our MLOps Consulting service.

  • Provide input throughout the process design phase of ML model governance, monitoring, deployment, and retraining.
  • The use of MLOps tools, such as MLflow, to monitor metrics, models, and experiments is highly recommended.
  • Develop systems to train, deploy, and monitor ML at scale.
  • Establish protocols to monitor production-related risks, model drift, and performance.
  • Suggest rules for ML model compliance, explainability, and ethics in governance.

Data Engineering

STS Software GmbH - leading machine learning development company in Switzerland - provides a specific Data Engineering solution that will redefine the basis of your machine learning applications.

  • Determine the quality and usefulness of existing data sources by auditing, cataloging, and mapping them.
  • Plan the processes that will transfer, modify, and prepare data so that ML systems may use it.
  • Learn which variants and feature modifications work best for training ML models.
  • Set up cloud or on-premise big data environments like data lakes for ML applications.

Custom ML Model Development

STS Software GmbH's professional team specializes in developing machine learning models that are suited to your specific requirements, so you can jump into the potential of custom machine learning development. Here at STS Software GmbH, we go beyond building ML models, crafting solutions that expand the boundaries of intelligent technology.

  • Define the issue and the results you want from the ML models.
  • Research and assess several algorithms that might be used to solve the issue.
  • When developing models, make use of machine learning methods such as deep learning, boosting, bootstrapping, and frameworks like TensorFlow.
  • Set goal criteria, assess tradeoffs, and fine-tune model hyperparameters.
  • Model descriptions and transparency may be achieved by using approaches such as LIME and SHAP.

ML-Powered Solutions Development

By harnessing the power of machine learning (ML) methodologies and approaches, we tackle specific challenges and enhance functionality across diverse domains. Our comprehensive suite of ML-Powered Solutions encompasses a wide range of offerings, including:

  • Machine learning app development.
  • Machine learning web development.
  • Machine learning platform development.

ML Deployment and Integration

Utilize our professional machine learning integration services - at the leading AI-ML development company in Switzerland and Europe - to eliminate any obstacles between development and production.

  • Build integration pipelines that put models into many platforms, such as applications, databases, dashboards, and more.
  • Optimal infrastructure size for providing, scaling, and monitoring models at a reasonable cost.
  • Create SDKs and APIs to make it simple to integrate ML with other systems.
  • Monitor models in production and set up alerts for drift, drops in performance etc.

Ready to harness the transformative potential of Machine Learning for your business? Contact us now to discuss how our tailored solutions can drive your success forward.


Headquartered in Switzerland, we are a prominent machine learning development company that has a track record of remarkable work and excellent accuracy. Experience a new level of creativity and technological capability with STS Software GmbH's Machine Learning Expertise as you start a revolutionary journey with us.

Deep Learning

Our experienced data engineers can properly guide DL frameworks through the complexities of loss functions, resulting in more accurate models. Improve your image recognition skills; revolutionize your interaction with text data by exploring the complexities of NLP architectures.

  • Experience with popular DL frameworks like TensorFlow, PyTorch, Keras.
  • Ability to implement models, layers, loss functions, and optimizers.
  • Computer Vision: experience with convolutional neural networks (CNNs), computer vision techniques like pattern recognition and image segmentation.
  • NLP: experience with recurrent networks like LSTMs, GRUs, and popular NLP architectures like BERT, Transformers, and seq2seq models, Optical Character Recognition (OCR).

Big Data

With STS Software GmbH as your doorway for success in Big Data technologies, you can enter an era of limitless possibility. We expertly and finessely traverse the expansive data landscape as pioneers in the field.

  • Understanding distributed computing frameworks like Hadoop, Spark, Flink, etc. for storage and processing of large datasets.
  • Architecting the right big data stack.
  • Experience with distributed storage systems like HDFS, data lakes, and NoSQL databases.
  • Building real-time streaming pipelines with tools like Kafka, Kinesis, Spark Streaming.

Machine Learning Algorithms

Our team is skilled at developing types of machine learning solutions that make use of a wide range of methodologies, from the most basic concepts to the most cutting-edge methods. Investigate the domains of Reinforcement Learning, Unsupervised Learning, and Supervised Learning.

  • Understanding the different types of machine learning: supervised, unsupervised learning, Semi-supervised learning, Empowering Learning, Active Learning.
  • Understanding of various ML algorithms: Linear Regression, Logistic regression, Decision Trees, Random Forest, Support Vector Machines (SVMs), Neural Networks, Ensemble Methods, Clustering Algorithms.
  • Skills for properly implementing algorithms in languages like Python, R, Java.

Data Preprocessing

Data quality and relevance are improved by methodical cleaning, transformation, and organization in our approach to machine learning challenges. Thus, the preprocessing journey is made easier with these well designed machine learning pipelines.

  • Programming skills to automate preprocessing steps for reusability and integration into ML pipelines.
  • Statistical analysis skills to examine data for issues like bias, noise, outliers.
  • Data engineering expertise to assemble, clean, integrate data from disparate sources into a unified ML-ready dataset.
  • Software engineering skills for workflow automation, testing, and integration of preprocessing code into production ML pipelines.


With AutoML, our professionals can quickly and easily optimize the settings of various machine learning models to fit the specific properties of datasets with the help of AutoML.

  • Simplify and speed up the process of developing machine learning models.
  • Reducing the time and resources needed to develop models.
  • AutoML tools can handle large datasets and complex model architectures, making them scalable for enterprise-level applications.

Machine Learning Frameworks

We make full use of sophisticated algorithms and models by being experts in using state-of-the-art ML frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras.

  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Keras


Experience the highest levels of artificial intelligence at STS Software GmbH, one of Europe's top machine learning development companies, with a brilliant team of specialists from Switzerland, where innovation and dependability meet. Our mission is to redefine dependability in machine learning development services by implementing specific solutions.

In addition to being a top machine learning development company for a long time, STS Software GmbH is a global organization with a diverse talent pool, a wealth of industry knowledge, agile hiring practices, and solid project management strategies.

cost effective

STS Software GmbH’s goal is to offer clients cost-effective, top-notch solutions for every project, but notably the machine learning development services, so they can get the most out of them.

International Business Network

Canadian, American, Australian, and Singaporean offices give STS Software GmbH a global footprint. Thanks to the close collaboration of a team of passionate developers and talented machine learning experts, we are proud to be the leading machine learning development company in Switzerland and the European region.

Talented AI Developers in their Youth

Our ML team is composed of skilled data scientists, project managers, and machine learning experts who are enthusiastic about state-of-the-art tools and methods. Every aspect of a standard project is handled by our staffing unit - those specializing in software engineering, business analysis, consulting, project management, and quality assurance.

Robust Project Management Methodologies

Agile and Scrum are two development methodologies that STS Software GmbH, one of the leading machine learning development companies in Europe and even Asia, is proficient in. In order to collaborate with clients and execute projects efficiently, our team leverages Scrum and other Agile approaches.

STS Software GmbH's data scientists, project managers, and machine learning developers are highly flexible, allowing them to assist clients across many industries in overcoming challenges and capitalizing on new opportunities through the application of machine learning.

Advanced Technologies and Tools

STS Software GmbH’s AI Lab has access to cutting-edge frameworks. In order to boost innovation and improve operational effectiveness, our machine learning experts take advantage of technological adoption by enthusiastically adopting the most recent developments. Furthermore, this is demonstrated by a variety of elements, such as reliable machine learning development services.

Flexible Hiring Models

Our hiring procedure - especially for machine learning development services - has been continuously refined through the use of adaptive approaches, allowing us to consistently have a reliable human resource and adaptable talent training.

ISO Certifications

Experience excellence in quality management and information security with our prestigious ISO9001 and ISO27001 certifications. Our unwavering commitment to upholding stringent standards guarantees you the utmost in quality and security.

data security

Rest assured, we take the utmost care in protecting your valuable client information. With our ironclad Non-Disclosure Agreements and state-of-the-art data security measures, your data is in safe hands.


Every machine learning development project at STS Software GmbH has been handled with the same level of diligence and attention to detail, which is something we are extremely aware of.


Frame the Problem and Business Objectives

Step one, "Frame the Problem and Business Objectives," is where we lay out the outline for your machine learning development path. In order to fully grasp all aspects of your organization's environment and obstacles, our experts work directly with you.

  • Ensuring Accurate Scope Definition
  • Optimal Use of Resources
  • Flexible Adjustment


Gather and Analyze Data

This phase is the heart of machine learning: gathering high-quality, extensive data to use as a basis for training models and making accurate predictions.

  • Mastery of Data
  • Prospective Study
  • Better Ability to Foretell Future Events


Data Cleaning and Preprocessing

The Data Cleaning and Preprocessing step of STS Software GmbH's rigorous Machine Learning Development Process emphasizes our dedication to providing top-notch data for effective ML models.

  • Improved Accuracy of Data
  • Enhanced Precision of the Model
  • Making Feature Engineering A Bit Simpler


Feature Engineering

A crucial component of STS Software GmbH's Machine Learning Development Process, "Feature Engineering for Machine Learning" is responsible for expertly molding raw data into strong insights into the future.

  • Maximized Efficiency of the Model
  • Reducing Dimensions
  • Flexibility in Response to Dynamic Data


Model Selection

In this phase, you will search for machine learning algorithms and carefully assess each one until you find the one that best fits your specific company goals. Working with STS Software GmbH, you can be sure that your projects will be supported by the best machine learning algorithms, leading to top-notch outcomes and cutting-edge technology.

  • Customized Approaches
  • Achieving Maximum Efficiency
  • Scenario Planning


Model Training

By collaborating with our AI Lab, you may see a careful model training process that makes use of train data, enhancing the accuracy and adaptability of your machine learning models.

  • Train Data for Accurate Predictions
  • Greater Concentration of Data
  • Resistance to Difficult Conditions


Model Evaluation

To make sure the model is up to par in terms of precision and efficiency, this stage includes a thorough evaluation utilizing several machine learning metrics. Discover directly how our model assessment approach ensures that your machine learning solutions are exactly on par in terms of effectiveness and dependability by using machine learning metrics as the benchmark of excellence.

  • Measurable Results
  • Consistency with Goals
  • Improving Over Time


Hyperparameter Tuning

The "Hyperparameter Tuning" step is crucial to STS Software GmbH's Machine Learning Development Process since it uses advanced methods like batch size adjustment and Bayesian optimization to fine-tune the model's variables.

  • Batch Size Optimization
  • Optimal Bayesian Procedures
  • The Capacity to Handle Complex Models


Deploy into Production

At STS Software GmbH, this phase places an emphasis on triple-repetition-level accuracy in ongoing ML model monitoring. This is the point at which deployment transforms into a seamless integration, and via continual ML model monitoring, perfection is maintained.

  • Ongoing Monitoring of ML Models
  • Identifying Issues Proactively
  • Getting the Most Out of Your Resources


Project Management

The "Project Management" aspect of STS Software GmbH's all-encompassing Machine Learning Development Process is directed by seasoned project managers who are also experts in machine learning development.

  • Harmony in Strategy
  • Final Goals Reached at Appropriate Times
  • Preventative Problem Solving


As we explore the complicated area of intelligent technologies, STS Software GmbH is proud to showcase the expertise under various Machine Learning Models areas. With extensive expertise and practical understanding in implementing a wide variety of models to tackle various organizational challenges, our team of competent data scientists and machine learning engineers is ready to take the lead.

Supervised Learning

  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forests
  • Naive Bayes
  • K-Nearest Neighbors
  • Support Vector Machines
  • Neural Networks
  • Convolutional Neural Networks

Unsupervised Learning

  • Clustering: K-means Clustering, Hierarchical Clustering
  • Dimensionality Reduction: PCA (Principal Component Analysis), t-Distributed Stochastic Neighbor Embedding (t-SNE)
  • Anomaly Detection
  • Generative Adversarial Networks (GANs)
  • Self-Organizing Maps (SOM)

Reinforcement Learning

  • Q-Learning
  • Deep Q-Networks (DQN)


Data Processing


Data Visualization


Data Handling and Analysis


Machine Learning

k-mean Cloud

Deep Learning


MLOps (Machine Learning Operations)


Computer Vision


Natural Language Processing (NLP)


Recommender Systems


Large Language Models (LLM)




AI on Cloud




Product Recognition

Utilizing AI-based Computer Vision techniques, the Product Recognition system autonomously detects and categorizes products present within images or videos.

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At STS Software GmbH, we offer three main types of engagement. Our engagement models are designed to meet specific needs and provide the best solutions for your project's success. Whether you need a full-stack ML development team, some extra brain power in the form of staff augmentation, or a model based on specific projects, we can help.

Dedicated Development Team

At STS Software GmbH, a top machine learning development company in Asia and Europe, you can find a dedicated development team of talented engineers. You can rest assured that a hardworking team will attend to your project with utmost dedication using this strategy, offering you expert solutions and facilitating seamless collaboration.

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dedicated development team model
It staff augmentation model

IT Staff Augmentation

With Staff Augmentation, data scientists with specialized expertise can be added to your team as an extension of STS Software GmbH's solutions.

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Project-Based Model

Our machine learning development services are built upon the Project-Based Model, which is then monitored by experienced project managers. This approach ensures efficient execution of all aspects of machine learning projects, including technical knowledge, timeliness, workflow, and final outputs, with project managers overseeing the development process...

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project-based model

What Outsourcing Model Should I Choose?

Support your in-house team or build an external one? Let our experts guide you through the best software development outsourcing models and nail down the perfect choice!

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STS Software GmbH's commitment to excellence is shown in our extensive skill across a wide range of industry-leading machine learning development services. As we explore the intricate field of intelligent technologies, we are proud to display our extensive skills in this area.

When it comes to machine learning development services, experienced data scientists and machine learning engineers make up our front-line team; they have extensive expertise in the field and have deployed a wide variety of models to address different business problems.

Transportation and Logistics

Logistics organizations may take use of Machine Learning Development Services for demand forecasting, which helps them have just the right amount of goods on hand while cutting down on holding costs and keeping up with demand swings.

  • Predictive Maintenance
  • Demand Forecasting
  • Route Optimization


In the dynamic and ever-changing global financial industry, STS Software GmbH is at the forefront of offering advanced Machine Learning Development Services. In order to redefine financial processes, our AI Lab uses the significant capabilities of machine learning to build software for the financial sector.

  • Trading
  • Financial Analysis
  • Financial Forecasting


The healthcare business is constantly changing, and STS Software GmbH is pleased to bring in machine learning development services to meet the needs of many users. And this is changing the way we tackle issues related to healthcare.

  • Drug Discovery
  • Genomics
  • Medical Imaging
  • Precision Medicine


By integrating sophisticated algorithms when it comes to Machine Learning Development Services, STS Software GmbH improves the accuracy and efficiency of insurance procedures in crucial areas like forecasting, claims processing, underwriting, and fraud detection.

  • Fraud Detection
  • Forecasting
  • Underwriting
  • Claims Processing


With STS Software GmbH's Machine Learning Development Services, you may embark on a transformational path within the manufacturing sector that will guarantee accuracy, efficiency, and resiliency in the face of changing problems.

  • Process Optimization
  • Predictive Maintenance
  • Anomaly Detection


Providing individualized Machine Learning Development Services that reimagine the way in which the industry functions, STS Software GmbH is an outstanding representation of innovation.

  • Demand Forecasting
  • Product Recommendation
  • Customer Segmentation
  • Sale Forecasting

Real Estate

When it comes to Machine Learning Development Services, STS Software GmbH continues to provide cutting-edge solutions that change the way businesses tackle problems.

  • Price Prediction
  • Risk Assessment


With specialized Machine Learning Development Services, STS Software GmbH is reshaping the operations, predictive maintenance, and security environment in the ever-changing telecom industry.

  • Predictive Maintenance
  • Spam Detection


Choosing STS Software GmbH as your machine learning development partner means you’ll have our specialists who are fully devoted to providing you with specific assistance. Custom machine learning development is our main focus.

The adaptability and transformative potential of this advanced technology are shown by STS Software’s machine learning application development expertise, which covers a broad range of applications. We are experts in building different types of machine learning applications that are tailored to the specific requirements of companies in a wide range of sectors.

A thorough and well-executed procedure is guaranteed by the timeframe for a machine learning development project at STS Software GmbH, which is impacted by a number of variables. Planning and execution are the two main stages that typically make up a machine learning development project life cycle.

Typically, STS Software’s machine learning development projects last for weeks or months, with a focus on thorough problem-solving, model development, testing, and deployment.

STS Software GmbH’s AI Lab implements a comprehensive strategy based on knowledge and industry standards to address machine learning challenges. Scalability is a primary focus right from the start of our machine learning model development process.

Specifically, our team ensures that scalability-related difficulties are actively managed throughout the whole machine learning model development lifecycle. In order to create models that can successfully deal with varied datasets and changing business needs, we use advanced methods to reduce the possibility of overfitting and underfitting. Models are subject to rigorous testing and validation procedures to eliminate any possibility of bias.

Let’s Talk

Together with our developers and analysts, we begin by discussing and analysing our client’s needs, sketching the outline