Artificial intelligence & machine learning
From AI assisted coding to agentic AI and vibe coding - our teams combine long-term AI expertise with strong engineering practices to build innovative solutions while maintaining full control over quality and outcomes.
Artificial intelligence and machine learning
AI and machine learning are transforming how organizations automate processes, extract insights, and deliver intelligent products. From predictive analytics to generative AI, these technologies enable new business models and efficiencies.
At the same time, AI is reshaping how software itself is built, from AI assisted coding to intent-driven AI development and Agentic AI whilst maintaining control over the outcomes they produce. Tasks that once required significant manual effort can now be assisted or generated, changing the role of developers toward decision-making and orchestration.
At NetRom, we apply AI and ML in a practical manner - it has been deeply ingrained in our engineering processes for over 10 years. Our teams use various AI development approaches to accelerate and improve delivery while maintaining full control over architecture, quality, and business logic. In parallel, we work on long-term AI projects with our clients, building deep expertise in both technology and industry-specific use cases.
500+
university schooled developers
8 countries
we're active in
96%
client satisfaction
27+ years
of experience in software development
6 years
average duration of client collaborations
10+ years
of employee loyalty
Artificial intelligence and machine learning
Deep learning frameworks
TensorFlow, PyTorch, ONNX, and Hugging Face transformers enable development of advanced AI models for NLP, vision, and predictive analytics.
LLM orchestration & AI services
Tools such as OpenAI API, Azure ML, and LangChain support integration of large language models into enterprise applications.
Model interoperability
ONNX and ONNX Runtime allow models to run across platforms, improving flexibility and performance.
MLOps
MLflow and Weights & Biases support experiment tracking, reproducibility, and model lifecycle management.
Neural architectures
Transformers and CNNs are widely used for language processing and computer vision tasks.
NLP methods
Techniques such as Tf-Idf, Word2Vec, and BERT enable text analysis and semantic understanding.
Computer vision
OpenCV supports image processing, recognition, and automation use cases.
Client cases
DDi: From an ambitious idea to an innovative AI platform in nine months
Alpina Group consolidates applications to enable innovation with development partner NetRom
From a capacity challenge to AI-driven innovation
A professional team that guarantees high-quality service
Make better software with engineers who understand your world
You work with people who know your industry, challenge you when it matters, and stay accountable for delivering real, measurable results - not just output.
Build momentum with a team that’s designed for you - and stays
You get a team tailored to your needs that remains consistent over time, so knowledge compounds and progress doesn’t reset every few months.
Reduce complexity with one partner working across your full software lifecycle
From design to build to run, everything works together seamlessly, so you’ll benefit from in-depth knowledge, synergies and you can focus on realizing your roadmap.
Improve speed and predictability using AI - without losing control
You benefit from AI-driven efficiency, while experienced engineers remain accountable for quality, decisions, and outcomes.
Stay in control of your software and your future with a partner by your side
You grow and evolve your software together with us, but you remain in charge - keeping knowledge, ownership, and strategic freedom inside your organization.
Scale with confidence – while maintaining the stability and reliability
You get the reliability of a stable team, the flexibility to adapt when needed, and access to a broader network of expertise behind the scenes.
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