Quando costruisci applicazioni web, arriva sempre quel momento: un solo server non basta più. Serve ridondanza. Serve resilienza. Serve un load balancer. Molti pensano subito a soluzioni enterprise complesse. Noi abbiamo testato qualcosa di diverso: Caddy. 👉 Reverse proxy + load balancer 👉 HTTPS automatico 👉 Configurazione minimale Ma la vera domanda è: cosa succede quando le cose si rompono davvero? Abbiamo costruito un piccolo lab e simulato scenari reali: backend che crasha, servizi lenti (il caso più subdolo) e routing intelligente del traffico 💡 Risultato? Con poche righe di configurazione, Caddy: gestisce failover in modo trasparente, evita che un nodo lento degradi tutto il sistema e instrada il traffico in modo dinamico (least_conn, cookie, ecc.) 👉 Il punto non è distribuire traffico. 👉 Il punto è proteggere l’utente dai problemi dell’infrastruttura. Nel blog entriamo nel dettaglio tecnico (con esempi reali 👇) Kudos to Lorenzo Ajo 🔗 https://lnkd.in/dRXsVMea
D/Vision Lab
Information Technology & Services
Dalmine, Bergamo 1,401 followers
Decision-grade software for medical and regulated complex systems
About us
D/Vision Lab builds decision-grade software for medical and regulated complex systems. We design and develop advanced software solutions where data, images, sensors, models, and algorithms must work together reliably within real operational workflows. Our primary focus is diagnostic medical imaging, where regulatory constraints, system integration, and clinical usability are critical. At the same time, we apply the same engineering approach to industrial and R&D environments, transferring innovation across domains. We work on end-to-end systems, from data acquisition to visualization and decision support, with a strong focus on reliability and long-term sustainability. integration with existing infrastructures and real-world adoption, not experimental prototypes. We are not a generic software vendor. We act as a technology partner for companies that need to turn technical complexity into operational, maintainable, and scalable software systems. We operate in strategic sectors such as healthcare, industrial, and design, transforming complex data into interactive, intuitive, and valuable solutions. Our services include 3D configurators, interactive dashboards, medical imaging applications, and augmented and virtual reality platforms. Contact us to discover how we can take your business to the next level.
- Website
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https://www.dvisionlab.com
External link for D/Vision Lab
- Industry
- Information Technology & Services
- Company size
- 2-10 employees
- Headquarters
- Dalmine, Bergamo
- Type
- Privately Held
- Founded
- 2019
- Specialties
- data visualization, data analysis, medical imaging, synthetic data, 3D Rendering, software, and cloud
Products
![Click here to view DICOM Vision]()
DICOM Vision
Healthcare Analytics Software
DICOM Vision is an innovative cloud-based platform designed for viewing and analyzing medical images. Developed to meet the needs of healthcare professionals and institutions, it guarantees accessibility, accuracy and compliance with international standards. Key features: - Access anywhere: View and manage images directly in the browser. - Advanced visualization: Support for 2D and 3D images, including the possibility of performing volumetric rendering. - DICOM standards: Full compliance with DICOM standards for managing and sharing images securely. - Interactivity: Intuitive tools for image manipulation. - Collaboration: Secure and collaborative sharing with other professionals. Benefits: - More accurate diagnoses thanks to detailed visualizations. - Optimization of healthcare workflow. - Reduction of operational costs thanks to the cloud model
Locations
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Primary
Get directions
Via Monte Pasubio, 5
c/o POINT
Dalmine, Bergamo 24044, IT
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Get directions
Piazza della Repubblica, 2
Bergamo, Bergamo 24121, IT
Employees at D/Vision Lab
Updates
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🇮🇹 🧠 Non abbiamo costruito un viewer. Abbiamo costruito un #engine. Nel medical imaging, il problema non è “vedere le immagini”. Il problema è lavorarci sopra: in modo veloce, interattivo, integrabile. Negli ultimi anni abbiamo lavorato su piattaforme #web per imaging #clinico, #AI e visualizzazione avanzata. E a un certo punto è diventato chiaro: i tool esistenti non bastavano. 👉 Da qui nasce #Lumen. Un engine per: - visualizzazione 2D/3D ad alte #performance nel #browser - gestione di workflow #DICOM complessi - integrazione nativa con AI e analisi dati - costruzione di applicazioni #cloud-ready Abbiamo pubblicato solo alcuni esempi iniziali, per mostrare le potenzialità. Nei prossimi mesi la piattaforma verrà arricchita con nuovi tool, funzionalità e use case concreti. Non è una demo. È qualcosa che stiamo costruendo davvero. Se stai lavorando su piattaforme di imaging, soluzioni AI in ambito medicale o sistemi complessi da portare sul web può valere la pena parlarne. 🌐 https://lnkd.in/dPBM9Sjy -------------------------------------------------------------------------- 🇬🇧 🧠 We didn’t build a viewer. We built an engine. In #medicalimaging, the challenge is not just “seeing images”. It’s about working with them — fast, interactive, and integrated into real workflows. Over the years, we’ve built multiple web-based #platforms for clinical imaging, AI, and advanced #visualization. At some point, it became clear: existing tools weren’t enough. 👉 That’s why we built #Lumen. An engine for: - high-performance 2D/3D visualization in the browser - complex DICOM #workflows - native integration with AI and #dataanalysis - building cloud-ready imaging applications We’ve released a first set of examples to showcase its capabilities. Over the next months, we’ll expand it with new tools, features and real-world use cases. This is not a demo. It’s something we are actively building. If you’re working on imaging platforms, AI-driven medical solutions or complex systems moving to the web it might be worth a #conversation. 🌐 https://lnkd.in/dPBM9Sjy #MedicalImaging #DICOM #HealthTech #AIinHealthcare #3DVisualization #WebGL #CloudPlatforms
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Great to see DICOM Vision featured by General Medical Merate S.p.A. At D/Vision Lab, this is exactly the kind of systems we design and build. Not just viewers. Not isolated features. 👉 Complete imaging platforms integrated into real clinical workflows, connected with existing systems, and ready to scale. Over time, we’ve seen the same challenge across companies: building medical imaging software is not just about rendering images — it’s about architecture, performance, interoperability and clinical usability. That’s where we focus. If you are: • developing a medical product • integrating DICOM into your platform • working on advanced visualization or AI workflows → we can help you build it properly. We work with MedTech companies, healthcare providers and technology partners to turn complex requirements into production-ready systems. 📩 Open to new collaborations — feel free to reach out. #MedicalImaging #MedTech #DICOM #SoftwareEngineering #HealthcareIT #AI #DVisionLab
🔎 #DICOMVISION – PLATFORM CAPABILITIES 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝘃𝗲 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 Remote access and shared image review: • Secure multi-user access to imaging studies • Real-time collaboration across sites • Centralized cloud-based workflows • Designed for distributed clinical teams 🔗 Click here to explore DICOM Vision: https://dicom.vision/ #GMMGROUP #GMM #Generalmedicalmerate #DicomVision #DVisionLab #ArtificialIntelligence #digitalization #MedTech #medicaldevices #radiology #Medicalimaging
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Il #medtech sta entrando in una fase in cui le singole competenze non bastano più. Non basta fare #AI. Non basta fare #software. Non basta fare dispositivi. Serve integrare tutto questo in sistemi che funzionano davvero, dentro contesti reali, con vincoli reali. È da qui che nasce questa iniziativa insieme a NRG – MedTech Engineering partner: mettere attorno allo stesso tavolo chi questi sistemi li progetta, li sviluppa e li porta in #produzione. Non per parlare di trend. Ma per condividere cosa significa, oggi, costruire soluzioni nel medtech. 📍 Posti limitati https://lnkd.in/ddQ6-d2x
Perché nasce MEDTECH NEXT? Perché nel medtech oggi il problema non è innovare, è portare l’innovazione a terra. AI che funziona in demo ma non entra nei flussi clinici. Software che non dialoga con hardware, DICOM e sistemi legacy. Architetture che non reggono audit, scalabilità e normativa. E ogni volta il risultato è lo stesso: progetti che rallentano, costi che aumentano, rischio che cresce. Chi lavora in R&D lo sa. La complessità non è tecnica, è sistemica. E non si risolve con un singolo fornitore. Serve integrazione. Serve metodo. Servono partner che parlino la stessa lingua tecnica, clinica e regolatoria. Da qui nasce MEDTECH NEXT 2026. Non come evento, ma come risposta a un problema reale. Un momento di confronto tra chi deve prendere decisioni concrete: CTO, R&D, innovation leader, industria. E un primo passo verso qualcosa di più: un modo diverso di lavorare insieme. L’11 giugno iniziamo questa conversazione a Milano. Ma il punto non è l’evento. È quello che succede dopo. -- Why does MEDTECH NEXT exist? Because in medtech today, the challenge isn’t innovation. It’s bringing innovation into real-world use. AI that works in demos but never reaches clinical workflows. Software that doesn’t integrate with hardware, DICOM or legacy systems. Architectures that fail under audits, scalability demands and regulatory pressure. And every time, the result is the same: projects slow down, costs increase, risk grows. Anyone working in R&D knows this. The complexity isn’t just technical. It’s systemic. And it can’t be solved by a single vendor. It requires integration, method, partners who speak the same technical, clinical and regulatory language. That’s why MEDTECH NEXT 2026 exists. Not as just another event, but as a response to a real problem. A moment of dialogue between those who make real decisions: CTOs, R&D leaders, innovation teams, industry. And a first step toward something more: a different way of working together. On June 11, we’ll start this conversation in Milan. But the point isn’t the event. It’s what happens next. #MedTech #MedicalDevices #HealthcareInnovation #NRGsys #DVisionLab
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Dalle callback al #rendering: costruire un tool TPA in CornerstoneTools Nel nostro ultimo blog post entriamo nel dettaglio di un tema molto pratico per chi lavora con il #medicalimaging web-based: come costruire un tool personalizzato in CornerstoneTools, partendo dalla gestione degli eventi fino al rendering finale. 🔧 Un deep dive tecnico su: - gestione delle #callback e degli eventi - ciclo di vita del #tool - integrazione con il rendering #pipeline - progettazione di #strumenti realmente utilizzabili in contesto #clinico 👏 Un grazie a Laura Borghesi per aver scritto un articolo chiaro e concreto su un tema tutt’altro che banale. 📖 Leggi l’articolo: https://lnkd.in/ddviqGuF
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🚀 Making DICOM metadata readable for developers Working with #medicalimaging means dealing with complex standards like DICOM every day. While extremely powerful, #DICOM metadata can be difficult to interpret quickly when exploring datasets, debugging pipelines, or preparing data for AI workflows. At D/Vision Lab we built a small #opensource #Python tool to make this easier: dicom-insight. The goal is simple: turn complex DICOM metadata into clear, human-readable summaries and structured reports useful for developers, data scientists, and imaging researchers. With dicom-insight you can: • Quickly inspect DICOM studies and series • Generate structured reports from metadata • Explore imaging datasets more easily • Integrate metadata analysis into data pipelines The project uses a modern Python workflow with uv for fast environment and dependency management. 📖 Blog post https://lnkd.in/diRVezVY 💻 GitHub repository https://lnkd.in/dAvTP4nT We hope it can be useful for developers working with medical imaging, PACS integrations, and AI pipelines. kudos to Simone Manini -------------------------------------------------------------- 🚀 Rendere i metadata DICOM leggibili per gli sviluppatori Chi lavora con il medical imaging si confronta ogni giorno con lo standard DICOM. È uno standard estremamente potente, ma i metadata possono risultare difficili da interpretare rapidamente quando si analizzano dataset, si sviluppano pipeline o si preparano dati per sistemi di AI. In D/Vision Lab abbiamo sviluppato un piccolo tool Python open-source per semplificare questo processo: dicom-insight. L’obiettivo è semplice: trasformare metadata DICOM complessi in report chiari e leggibili, utili per sviluppatori, data scientist e ricercatori. Con dicom-insight è possibile: • Analizzare rapidamente studi e serie DICOM • Generare report strutturati dai metadata • Esplorare dataset di imaging più facilmente • Integrare l’analisi dei metadata nelle pipeline dati Il progetto utilizza un workflow Python moderno con uv per la gestione veloce delle dipendenze. 📖 Articolo completo https://lnkd.in/diRVezVY 💻 Repository GitHub https://lnkd.in/dAvTP4nT kudos to Simone Manini #medicalimaging #dicom #python #opensource #healthtech #ai #datavisualization
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Building technology that reaches real clinical environments is something we are deeply proud of. Over the past years at D/Vision Lab we have been working on complex problems around medical imaging, data visualization and cloud software. One of the results of this journey is DICOM Vision, a platform we designed to make medical images easier to access, share and collaborate on, directly from the browser. Seeing the platform presented within the innovation ecosystem of General Medical Merate S.p.A. and showcased to the international radiology community during #ECR has been a great milestone for our team. It is a strong validation of a simple idea we believe in: ➡ complex data should become accessible, collaborative and actionable. Proud of the work done by the team and excited for what comes next. #MedicalImaging #Radiology #MedTech #DICOM #DataVisualization #CloudSoftware #DVisionLab #DICOMVision
🔎 #DICOMVISION – PLATFORM CAPABILITIES 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 Medical image rendering and interaction: • High-performance 2D/3D DICOM visualization • Multiframe and multimodality support • Optimized for large imaging datasets • Web-based, no local installation 🔗 Click here to explore DICOM Vision: https://dicom.vision/ #GMMGROUP #GMM #Generalmedicalmerate #DicomVision #DVisionLab #ArtificialIntelligence #digitalization #MedTech #medicaldevices #radiology #Medicalimaging
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Proud to see DICOM Vision showcased at #ECR2026 in Vienna. The platform, developed by D/Vision Lab and part of the GMM Group ecosystem, is being presented this week at Stand 229, where visitors can discover a new approach to cloud-based medical imaging. DICOM Vision is designed to simplify access, sharing and collaboration on diagnostic images, enabling: • browser-based visualization of DICOM studies • remote collaboration between clinicians • integration with AI-powered workflows In the video you can see the visual installation displayed on the wall at the GMM stand, featuring the DICOM Vision platform. If you are attending ECR, come and meet the team at Stand 229. #ECR2026 #MedicalImaging #Radiology #MedTech #DVisionLab #DICOMVision #GMMGroup
🚀 DICOM Vision at ECR 2026 This week we are at #ECR2026 in Vienna together with General Medical Merate S.p.A., where DICOM Vision is showcased at Stand 229. DICOM Vision is a cloud platform for medical imaging, designed to enable: • fast and secure access to DICOM studies directly from the browser • remote collaboration between clinicians • integration with advanced AI workflows In the video you can see the visual showcase of DICOM Vision displayed on the wall at the GMM stand during the exhibition. If you are attending ECR, come and visit us at Stand 229 GMM Group A special thanks also to Incubatore d’Impresa Bergamo Sviluppo - Azienda Speciale della Camera di Commercio di Bergamo, which supported the early stages of this journey. #ECR2026 #MedicalImaging #Radiology #MedTech #DICOM #HealthcareInnovation #DICOMVision #GMMGroup
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We are at European Congress of Radiology 2026 in Vienna this week. Together with General Medical Merate S.p.A., you can find us at Booth 229, where D/Vision Lab and DICOM Vision are showcasing our technologies for the future of #medicalimaging. At the booth we are presenting a live demo of DICOM Vision, our cloud #platform for medical imaging, designed to enable: • advanced DICOM image #visualization • #AI-powered workflows and analysis • remote #collaboration between clinicians • seamless #integration with clinical systems and imaging devices The platform allows radiologists, clinicians and healthcare organizations to access, analyze and collaborate on imaging data from anywhere, while keeping compatibility with real clinical infrastructures. If you are attending #ECR, come visit us at Booth 229 and see the system in action. We are always interested in meeting #partners, innovators and companies working in medical imaging and #digitalhealth. #ECR2026 #Radiology #MedicalImaging #MedTech #DICOM #ArtificialIntelligence #DigitalHealth #DVisionLab #DICOMVision #GMMGrou
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Agentic Coding: oltre il “copilot”, verso sistemi che ragionano sul codice Negli ultimi mesi si parla molto di AI applicata allo sviluppo software. Ma cosa significa davvero passare da un semplice assistente di completamento a un sistema #agent? Nel nostro ultimo blog post Alessandro Re affronta il tema dell’#agenticcoding: 🔹 cosa distingue un agente da un semplice #LLM 🔹 come orchestrare task, memoria e contesto 🔹 quali sono i limiti reali oggi 🔹 dove ha senso integrarlo in un workflow di sviluppo strutturato Non si tratta di sostituire gli sviluppatori, ma di progettare sistemi che possano ragionare su obiettivi, suddividere problemi e interagire con tool esterni in modo controllato. Un tema tecnico, ma centrale per chi costruisce software complesso. 📖 Leggi l’articolo completo: https://lnkd.in/dMdeUu5U
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