Machine learning, NLP, computer vision, LLM integration and RAG. From data to real value: intelligent automation, accurate forecasting and AI assistants embedded in your processes.
Service · Artificial IntelligenceFrom classical machine learning models to the latest-generation LLMs
Artificial Intelligence is no longer the future it is the present. At NRC Company we develop custom AI solutions that transform business data into real value, automating complex processes and delivering strategic insights for faster, more informed decisions.
From classical machine learning to the latest generation of generative models, our team of data scientists and ML engineers designs end-to-end pipelines: from data collection and preparation, to model training, through to production deployment and monitoring with mature MLOps practices.
We integrate the most advanced Large Language Models into your workflows, creating intelligent virtual assistants, RAG (Retrieval-Augmented Generation) systems that answer based on company documentation, and AI agents capable of executing complex tasks autonomously.
A comprehensive overview of the artificial intelligence domains we master.
Predictive models, classification, clustering, regression and recommendations with scikit-learn, XGBoost, LightGBM. MLOps, monitoring and automated retraining.
Deep neural networks with TensorFlow and PyTorch for complex problems: image recognition, sequence modelling, generative models and transfer learning.
Sentiment analysis, text classification, named entity recognition, machine translation, summarisation. BERT, transformer and Hugging Face models.
Object detection with YOLO, image classification, OCR, video analysis, industrial quality control. Edge computing and real-time processing.
Integration of GPT, Claude, Gemini, Mistral and Llama. Advanced prompt engineering, fine-tuning, function calling and safety guardrails.
RAG systems with vector databases (Pinecone, Weaviate, Qdrant) for chatbots that answer based on your company documentation.
Autonomous agents with LangChain, LlamaIndex and Semantic Kernel. Complex task execution, tool orchestration and enterprise system integration.
Demand forecasting, churn prediction, risk scoring, predictive maintenance. Interactive dashboards with KPI threshold alerts.
ETL pipelines with Apache Kafka and Spark, dbt for transformations, MLflow for tracking, deployment with Kubeflow and model drift monitoring.
AI roadmap, feasibility assessment, build vs buy, high-value use case identification, team training and model governance.
Concrete AI applications for every sector and business size.
Multilingual virtual assistants powered by LLMs and RAG that answer customers and employees 24/7 using your internal documentation.
Predictive models to optimise stock levels, plan production, forecast churn and identify commercial opportunities with superior accuracy.
Computer vision for automated product inspection on the production line, reducing defects and manual inspection costs.
Intelligent OCR with NLP to automatically extract information from invoices, contracts, orders and complex documents.
Personalised recommendation systems for e-commerce, content, training and financial services, boosting engagement and conversions.
Real-time detection systems for payments, access events and suspicious transactions. Dramatic reduction in losses and false positives.
A structured path to take AI from strategy to production, with measurable ROI.
Identification of the highest-value use cases, assessment of available data and definition of measurable KPIs.
Dataset preparation, model experimentation, rapid proof of concept to validate the technical and business hypothesis.
Final model development, fine-tuning, metrics evaluation, integration with business systems and UI.
Production deployment, performance monitoring, drift detection, automated retraining and model maintenance.
Tangible impact on business processes, backed by data and industry KPIs.
Answers to the most common questions about our artificial intelligence services.
We develop classical machine learning models (regression, classification, clustering), deep learning (computer vision, NLP), LLM integrations with GPT/Claude/Gemini, RAG on company data, predictive analytics, AI agents and intelligent automation.
Yes. We integrate the leading LLMs (OpenAI GPT, Anthropic Claude, Google Gemini, Mistral, Llama) into your systems via API or on-premises. We implement RAG with vector databases, advanced prompt engineering and safety guardrails for reliable, context-aware responses based on your data.
Data security is a top priority. We use on-premises models where required, end-to-end encryption, data isolation, full audit logs and GDPR compliance. For sensitive data we offer self-hosted deployments with open-source LLMs (Llama, Mistral), avoiding third-party cloud transit.
A proof of concept typically takes 4–8 weeks. ML models in production take 3–6 months. LLM and RAG integrations can go live in a matter of weeks thanks to established frameworks. We work in phases with measurable KPIs at every iteration.
Reduction in operational time of 30–70%, automation of repetitive processes, better-informed decisions through accurate forecasting, 24/7 customer service with intelligent chatbots, automated quality control and new data-driven products. We define clear KPIs from the outset.
AI is within reach for any business. For SMEs we propose pragmatic solutions using LLM APIs and pre-trained models that require modest investment. For enterprise clients we design complete MLOps pipelines with proprietary models and dedicated infrastructure.
A free session to identify the highest-value use cases for your business and define a concrete, measurable AI roadmap.