Artificial Intelligence for Industry and Services: from data to measurable results
We design custom AI solutions integrated into your systems, not isolated demos.
We don't build "AI demos"
We integrate artificial intelligence into real systems, with real data, for concrete results.
Software engineering first,
AI as a tool.
At Cocce we have been designing complex systems for over 25 years. Artificial intelligence is a powerful tool for us, but it is our solid experience in designing and developing software architectures that makes the difference. We integrate AI where it generates measurable value, within a path of business process optimisation.
- Real software experience - We design solid software architectures, then integrate AI where it generates measurable value.
- Integration with existing systems - We work with your data and your processes; we don't ask you to change them.
- Knowledge of industrial processes - For decades we have worked with manufacturing, healthcare and service companies. We know the context.
- Real system integration - We integrate AI with machinery, IoT sensors, ERP systems, enterprise databases and cloud platforms.
- No GPT wrappers - We don't sell ChatGPT subscriptions. We build custom, proprietary, integrated AI solutions.
AI technologies
Machine Learning, Generative AI, RAG and semantic engines: we apply the most advanced technologies to real business problems.
.01
Machine Learning
Classification, prediction, anomaly detection, forecasting. We train models on your data to generate forecasts, identify anomalies and optimise decision-making processes.
.02
Generative AI
LLMs, enterprise chatbots, AI knowledge bases, document generation. We integrate large language models into your processes to automate content creation and analysis.
.03
RAG and semantic engines
Semantic search, embeddings, vector databases, Qdrant, Elasticsearch. We build systems that understand the meaning of enterprise documents and return precise, contextual answers.
.04
Computer Vision
Image recognition, automated quality control, AI OCR, defect recognition. Computer vision systems for automated inspection and monitoring of production processes.
.05
Enterprise LLM integration
We integrate OpenAI models, private LLMs and on-premise solutions into your systems. Document chatbots, customer care automation, report generation, intelligent workflows.
.06
Predictive systems
Predictive maintenance, production data analysis, forecasting. Models that learn from your historical data to anticipate failures, optimise production and reduce operating costs.
.07
MCP Server integration
We connect your business software to AI models through the Model Context Protocol. We build custom MCP servers for ERPs, CRMs and proprietary tools. Discover the MCP service →
Use cases by industry
Concrete AI solutions for the industries we serve.
.01
Manufacturing / Automotive
- Predictive maintenance
- Quality control with computer vision
- IoT and sensor integration
.02
Healthcare
- Clinical data integration
- Decision support
- Medical knowledge base
.03
Logistics
- Inventory optimisation
- Forecasting
- Traceability
.04
Professional bodies / Public sector
- Service automation
- Document chatbots
- Digital self-service
Industrial AI for Industry 4.0
Artificial intelligence applied to production and industrial processes to optimise efficiency, quality and maintenance.
From production data
to intelligent decisions.
Manufacturing generates enormous amounts of data: machine parameters, IoT sensors, production cycles, quality checks. The real challenge is turning this data into operational decisions. With our industrial AI systems, machines don't just produce: they communicate, learn and optimise in real time.
- Predictive maintenance - We anticipate failures before they happen, reducing machine downtime and maintenance costs.
- IoT and MQTT integration - We connect sensors and machinery to acquire data in real time and feed AI models.
- Industrial automation - AI-based control and monitoring systems to optimise production cycles.
- Production data analysis - Intelligent dashboards that turn raw data into KPIs and operational insights.
- Predictive quality - Models that identify production anomalies before they generate scrap or rework.
Industrial Computer Vision
Computer vision systems for quality control, defect recognition and automated inspection.
- Automated quality control - Visual inspection systems that detect defects, imperfections and non-conformities in real time.
- AI OCR and document intelligence - Advanced optical character recognition to automate data extraction from documents, labels and components.
- Defect recognition on production lines - Deep learning models trained to identify visual anomalies in finished and semi-finished products.
- Automated inspection - Systems that replace manual visual inspection with cameras and AI algorithms, operating 24/7.
Digital eyes
for your production.
Industrial computer vision makes it possible to automate visual quality checks, reducing human error and increasing inspection speed. Our systems integrate with existing production lines and learn from your quality standards to deliver consistent, repeatable results over time.
Generative AI for Businesses
LLMs, enterprise chatbots, AI knowledge bases and document workflow automation: generative AI applied to real business processes.
.01
Private enterprise chatbots
Virtual assistants based on LLMs trained on your enterprise documents. Precise, contextual and secure answers, without sharing data with third parties.
.02
AI knowledge base
Turn your enterprise documentation into a knowledge base you can query in natural language. Technical manuals, procedures, regulations, reports: everything accessible with a single question.
.03
AI document generation
Automated creation of reports, quotes, technical documents and marketing content, based on AI models trained on your standards and templates.
.04
OpenAI and private LLM integration
We connect GPT, Llama, Mistral and other LLMs to your business systems. Cloud or on-premise solutions based on your privacy and latency requirements.
.05
Customer care automation
Chatbots and virtual assistants for customer service that understand natural language, access your knowledge base and integrate with your CRM systems.
.06
Intelligent workflows
AI-automated business processes: approvals, document classification, request routing, automatic alerts based on predictive analysis.
Discover Triggo, our semantic search engine for enterprise documents
Discover TriggoWhy choose Cocce for your AI
We are not a company that "uses ChatGPT". We are a software house that integrates AI into complex business processes.
.01
Real software experience
Over 25 years of custom software development. We design solid architectures, write quality code and manage complex infrastructures. AI builds on this expertise.
.02
Custom development, not products
Every AI solution we build is unique and tailored to your needs. We don't sell standardised platforms: we build software that adapts to your processes.
.03
Integration with existing systems
We connect AI to your ERPs, CRMs, MES, databases and machinery. No radical change: we enhance what already works.
.04
AI + software engineering
Artificial intelligence is only effective when integrated into a well-designed software system. We combine AI and software engineering expertise for results that work in production.
.05
Pragmatic approach
We don't chase trends. We analyse your business, identify where AI generates real value and build only what is needed. We measure results, not promises.
.06
Governance and seniority
Our AI projects are led by senior developers with years of experience. Data governance, code quality and maintainability are not optional: they are our standard. Read our AI manifesto.
Case studies: AI applied to real problems
We have integrated artificial intelligence into concrete projects for companies in different industries. Here are some examples.
Comparin System
Tensiometer calibration systems and wheel inspection traceability
Industry: Industrial / Automotive
Problem: Automate the calibration and testing of tensiometers and wheels, integrating measurement hardware with data acquisition and analysis software.
Solution: Data acquisition system from ANT+ sensors, rapid prototyping, hardware/software integration with real-time monitoring dashboards. AI analyses test data to identify anomalies and trends.
Technologies: ANT+, Delphi, IoT sensors, real-time data analysis
What could not be done with low-code/no-code tools: industrial hardware (ANT+ sensors, wheel testing), multi-site Italy-Romania logic and predictive reordering algorithms require a custom software architecture.
Triggo
Semantic Search Engine for Enterprise Documents
Industry: Knowledge Management / Document Intelligence
Problem: Companies accumulate huge amounts of technical documents, PDFs, emails and reports. Finding specific information becomes a long and inefficient operation.
Solution: Semantic search engine based on vector similarity search and generative AI. It lets you query your document assets in natural language and get precise answers in seconds.
Technologies: Natural Language Processing, embeddings, vector database, semantic search, RAG
What could not be done with low-code/no-code tools: semantic search over heterogeneous documents, custom embeddings and integration with enterprise knowledge bases require a proprietary RAG engine and models trained on the client's data.
Euphra
AI Platform for Clinical Data Integration and Analysis
Industry: Healthcare
Problem: Clinical data is spread across multiple systems and formats, making integrated analysis and medical decision support difficult.
Solution: A platform that centralises healthcare data acquisition, uses machine learning to analyse clinical patterns and accelerates medical decisions thanks to AI-generated insights.
Technologies: Machine Learning, data integration, healthcare AI, predictive analytics
What could not be done with low-code/no-code tools: integrating heterogeneous medical instruments, normalising clinical data and meeting healthcare compliance requirements cannot be handled with templates or standardised platforms.
Gruppo Refrattivo Italiano
Eye examination acquisition system for over 20,000 patients
Industry: Healthcare / Ophthalmology
Problem: Manage and centralise the acquisition of eye examinations from different instruments, for over 20,000 patients across shared locations.
Solution: A data integration system that collects and normalises examinations from different medical devices, making them accessible from a single platform. Machine learning patterns to support diagnosis.
Technologies: System integration, data normalisation, healthcare data analysis
What could not be done with low-code/no-code tools: integrating heterogeneous medical instruments, managing 18,000 records with response times under 1s and healthcare compliance cannot be handled with templates or no-code tools.
Ideas turned into concrete results
See all projectsFrequently asked questions about AI for businesses
How much does it cost to develop AI software?
The cost depends on the complexity of the project, the available data, the type of model and the integration with existing systems. Every AI solution we build is unique and custom. The first step is a free analysis of your project to assess feasibility, timelines and costs.
Can AI be integrated into existing software?
Yes, it is our core business. We analyse your current systems (ERP, CRM, MES, databases, applications) and identify the points where AI can be integrated to generate value without disrupting the existing infrastructure.
Which companies can use Machine Learning?
Practically every company that generates data. Machine learning is useful for classification, prediction, anomaly detection and process optimisation. Industries such as manufacturing, healthcare, logistics, finance and services are among those that benefit most.
Is it possible to create private enterprise chatbots?
Absolutely. We can build LLM-based chatbots that work exclusively with your enterprise data, without sharing it with third parties. On-premise or private cloud solutions, with full GDPR compliance and complete control over your data.
What is the difference between Generative AI and Machine Learning?
Machine Learning is the set of techniques that allow computers to learn from data to make predictions or classifications. Generative AI is a branch of ML that creates new content (text, images, code) based on learned patterns. Both have different and complementary business applications.
What is a RAG system?
RAG (Retrieval-Augmented Generation) is an architecture that combines search with AI generation. It allows a language model to answer questions based on real enterprise documents, reducing hallucinations and ensuring verified answers. It is the technology behind our AI knowledge base systems and semantic engines such as Triggo.
There are no pre-packaged products or software to buy. There is only the desire to get to know each other and build the unique AI solution for your business.
