Softhouse
AI & Machine Learning2025-10-20T15:16:46+02:00

Take Your Business to the Next Level with AI

We focus on concrete solutions that create real value and give your company a competitive edge. Through strategic projects and inspiring events, we help businesses work smarter and make more data-driven decisions.

AI Strategy

Shape your organization’s AI strategy and roadmap.

AI Project

Get your AI solution designed, developed, trained, tested, and market-ready.

AI Expert

Give your team a boost with one of our AI experts.

AI Training

Tailored AI training programs for your organization in any advancement level you want.

Creating the Services and Products of the Future with AI

We help you leverage AI to develop innovative services and products that drive real business value.

  • AI/ML Proof of Value Projects – Demonstrate the potential value of your data when combined with AI.
  • AI Exploration Workshops – Gain insights into AI’s possibilities and strategic applications.

Our team leads cutting-edge AI innovation projects while ensuring that your data is handled with the highest security standards.

  • Tailored AI Solutions – We combine the right components, integrating the latest technologies such as ChatGPT, LangChain, and Whisper, alongside proven frameworks like TensorFlow, PyTorch, and Scikit-Learn.

  • Machine Learning Expertise for Teams – Our experts guide the entire ML pipeline, from data processing to product deployment.

  • Proof of Concept – A time-limited innovation project that evaluates the business value of AI/ML, whether in data processing, production, or knowledge sharing.

  • AI Exploration Workshops – We educate and guide you in exploring AI’s opportunities and limitations, ensuring you maximize its potential.

AI Strategy

We support you at every stage of your AI journey, whether you need help developing an AI strategy or simply want inspiration to get started.

  • Get AI inspiration to spark new ideas
  • Receive solution proposals with recommended platforms or AI solutions, including implementation estimates
  • Evaluate ROI and potential cost savings
  • Assess data & AI maturity
  • Develop your organization’s AI strategy and roadmap

AI Projects

Launch your AI project with expert guidance. We tailor Artificial Intelligence solutions to fit your organization’s unique needs.

  • Prototyping – Rapidly test AI concepts and ideas
  • Proof of Concept – Validate AI’s business impact
  • UX/UI for AI/ML – Create intuitive and user-friendly AI experiences
  • Cloud Solutions for AI/ML – Scalable and efficient AI infrastructure
  • Coaching & Training – Upskill your team for AI adoption

From design and development to training, testing, and deployment, we ensure your AI solution is market-ready

AI Expert

An AI expert works within your team to design, develop, train, and test AI models. They also provide advice and guidance on AI, ensuring you understand both its capabilities and limitations.

Our AI experts have a strong background in:

  • Machine learning and deep learning
  • Experience ranging from applied projects to academic research

Leverage top AI expertise to drive innovation and success in your organization!

AI Training

We tailor AI training programs for your organization or leadership team, equipping you with the skills to work more efficiently using AI tools

  • Use ChatGPT or Copilot to save time on repetitive tasks

  • Learn how to compile documents and reports effortlessly
  • Improve customer service quality and reduce response times

Get hands-on experience with practical AI applications that enhance productivity and streamline workflows!

Curious About How We’ve Made a Difference?

  • AI for Smarter Construction Cost Estimation

  • AI for Smarter Energy Data – Understanding Household Needs in Real Time

  • With AI and Computer Vision for image classification at nanometer scale

  • A Powerful Chip Simulator

  • Automated Pallet Inspection with Computer Vision

  • Enhanced Image Recognition & Computer Vision

Expertise in AI & Machine Learning

We have been building advanced machine learning and AI solutions for several years and we regularly share our knowledge in this rapidly evolving field. For us, AI isn’t just a trendy buzzword. It’s about delivering real, tangible value to businesses, helping you optimize operations and make the most of your data.

Image analysis and computer vision are among the most mature fields in AI.

We have had the privilege of helping numerous clients develop advanced deep learning models across a wide range of applications—from biometrics to industrial solutions.

Machine learning can be applied in many ways, from sophisticated image-based products to solving challenges in traditional manufacturing, such as monitoring production quality and improving efficiency.

Some of Our Expertise:

  • Quality Control – Detecting defects and contamination in production
  • Image & Object Classification
  • Document Digitization – Extracting and understanding structured text, maps, and more for seamless integration into digital workflows
  • Inventory Management – Automated counting and tracking
  • Predictive Maintenance – Monitoring machines and tools to prevent failures
  • Biometric Access Control – Face recognition, fingerprint scanning, palm recognition, and more

Let us help you leverage computer vision to drive efficiency and innovation in your business!

Through anomaly detection and time series analysis, we help businesses identify irregularities and predict future events before they happen.

Using AI-powered models, we analyze large datasets in real time to uncover patterns, anticipate trends, and trigger alerts when anomalies occur—whether in industrial systems, financial data, or user behavior. We develop robust and intelligent solutions that provide our clients with better decision-making support, reduced risks, and optimized operations.

With Natural Language Processing (NLP) and Large Language Models (LLMs), we build intelligent systems that understand, analyze, and generate text in a human-like way.

From chatbots and automated text analysis to semantic search and language comprehension, we create solutions that make data and communication more accessible and powerful. By combining advanced language models with tailored software, we help businesses automate processes, improve efficiency, and make better decisions.

How do you handle operations and maintenance after a model is implemented?2025-10-20T15:15:11+02:00
We support the entire lifecycle — from model development to deployment and operations. After implementation, monitoring, maintenance, retraining, and ongoing performance analysis are essential. With the right processes in place, we ensure your AI solution continues to deliver and adapt over time.
Which industries and use cases are best suited for AI and machine learning?2025-10-20T15:15:27+02:00
AI and machine learning can be applied across many industries — from manufacturing (quality control) and retail (customer analytics) to healthcare (image analysis), logistics (predictive maintenance), and services (automation and support). Our experience shows that the best results come when the problem is well-defined, data is available, and business value is clear.

How do you ensure AI solutions comply with regulations and ethical standards?2025-10-20T15:15:36+02:00
We actively address issues such as data protection (GDPR), bias, transparency, and accountability from the earliest stages. By embedding these principles in both use cases and technology, we help you deliver AI solutions that are not only functional but also sustainable and aligned with the right frameworks.

How long does it take to see measurable impact from an AI solution?2025-10-20T15:15:43+02:00
The timeline depends on data maturity, complexity, and how well the AI solution is integrated into your operations. Value-creating prototypes can often be delivered within weeks or a few months. Further iterations and adjustments are usually needed to reach full-scale impact. Having clear KPIs and follow-up plans from the start is key to managing outcomes effectively.

What does it take for an organisation to succeed with AI solutions?2025-10-20T15:15:51+02:00
It’s about more than technology: you need strong data quality and organisation, clear goals and priorities, and a solid strategy for integrating AI into your business. Without these components, AI projects risk remaining pilots or isolated initiatives with limited impact.

Can you support both technology choices and model development for machine learning?2025-10-23T09:07:59+02:00
Yes. Our offer includes consulting on technology platforms (cloud, frameworks, training, and inference environments) and practical model development and deployment. We work with tools such as TensorFlow, PyTorch, and scikit-learn to ensure the technology fits your performance, security, and operational needs.
How do you turn data insights into real business value with AI?2025-10-20T15:16:01+02:00
Our process starts with understanding your business and data sources. Then we identify practical use cases, build a prototype, and test at small scale to measure impact. Once value is proven, we scale up and deploy. This structured approach ensures you achieve real business results rather than just a technical experiment.

What does Explainable AI mean and why is it important?2025-10-20T15:16:06+02:00
Explainable AI means being able to show how and why an AI or machine learning system arrived at a specific decision or result. It builds trust, supports accountability, and is often a regulatory requirement. By working with models and processes that are understandable and transparent, we help you ensure your AI works effectively and can be explained both internally and externally.

Competencies

Expert areas
  • Computer Vision & Image Analysis

  • Natural Language Processing (NLP)

  • Forecasting

  • Anomaly detection

  • Generative AI

  • Time Series Analysis

  • Data Management

  • MLOps

  • System development

Programming languages
  • Python

  • C, C++

  • R

  • Java, C#

Tools/Libraries
  • Numpy, Scipy, Scikit-learn

  • OpenCV

  • LangChain, Langfuse

  • Pandas

  • TensorFlow, PyTorch

  • Matplotlib, Seaborn

  • MLFlow

  • Tableau

  • Docker

  • Kubernetes

Platforms
  • Google Cloud Platform (GCP)

  • Microsoft Data Platform

  • Microsoft Azure

  • Amazon Web Services

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