SciTransfer
SERRANO · Project

Smart Cloud Platform That Moves Your Workloads Between Edge, Cloud and HPC Automatically

digitalTestedTRL 5

Imagine you have three different kitchens — a tiny one at home (edge), a regular restaurant kitchen (cloud), and a massive industrial one (HPC supercomputer). Right now, if you're cooking a big meal, you have to manually decide which dish goes where, and moving ingredients between kitchens is a nightmare. SERRANO built a smart manager that looks at what you're cooking, figures out which kitchen handles each dish best, and moves everything around automatically — all while keeping your recipes secret. It works for everything from securing your files in the cloud to catching factory machine breakdowns in real time.

By the numbers
EUR 4,343,180
EU funding for platform development
11
consortium partners
9
countries in the consortium
4
SMEs in consortium
55%
industry partner ratio
3
validated use cases (secure storage, fintech, manufacturing)
27
total project deliverables
The business problem

What needed solving

Companies today run workloads across edge devices, cloud servers, and sometimes HPC clusters — but managing this mix is manual, error-prone, and insecure. Moving data and tasks between these layers requires specialized expertise, and a wrong decision means either wasted money (over-provisioning) or poor performance (under-provisioning). Security adds another layer of complexity when sensitive financial or industrial data moves across distributed infrastructure.

The solution

What was built

SERRANO built and tested an integrated platform that creates a single abstraction layer across edge, cloud, and HPC resources. The final version of the integrated platform was delivered with cognitive (AI-driven) resource orchestration, secure distributed storage, hardware and software acceleration, and zero-touch adaptability. It was validated through 3 use cases: secure cloud storage, fintech digital services, and manufacturing machine anomaly detection.

Audience

Who needs this

Fintech companies running latency-critical transaction processing across multiple cloud providersManufacturing companies needing real-time machine anomaly detection at the edgeCloud service providers looking to offer seamless edge-to-HPC orchestrationEnterprises managing sensitive data across hybrid and multi-cloud environmentsIT infrastructure managers at mid-large companies struggling with workload placement decisions
Business applications

Who can put this to work

Financial Services
mid-size
Target: Fintech companies and digital banks running latency-sensitive trading or payment platforms

If you are a fintech company dealing with millisecond-critical transaction processing and the headache of managing workloads across different cloud providers — this project developed an integrated platform that automatically moves your safety-critical digital services to the fastest available infrastructure (edge, cloud, or HPC) while maintaining security. The platform was tested specifically on latency-sensitive financial sector use cases across a consortium of 11 partners in 9 countries.

Manufacturing & Industry 4.0
mid-size
Target: Factory operators and industrial companies needing real-time machine monitoring

If you are a manufacturer struggling with machine breakdowns that cost you production hours — this project developed and tested a machine anomaly detection system that runs across edge and cloud resources. Instead of sending all your sensor data to a distant data center (slow and expensive), the platform processes data at the edge for speed and offloads heavier analysis to the cloud or HPC automatically. The system was validated as one of 3 high-impact use cases in the project.

Cloud Infrastructure & Storage
enterprise
Target: Companies managing sensitive data across multiple cloud providers

If you are a business storing critical data across different cloud services and worrying about security and compliance — this project built a secure cloud and edge storage layer that works across diverse cloud resources. It handles encryption, dynamic data movement, and automated orchestration so your IT team doesn't have to manually manage where data sits. The platform was developed with 6 industry partners including 4 SMEs who contributed real-world requirements.

Frequently asked

Quick answers

What would it cost to adopt this technology?

The SERRANO platform was developed with EUR 4,343,180 in EU funding across 11 partners over 3 years. Licensing and adoption costs would depend on negotiations with the consortium partners. Based on available project data, no commercial pricing model has been published yet.

Can this work at industrial scale?

The platform was designed to orchestrate workloads across edge, cloud, and HPC resources — which is inherently a scale problem. It was tested through 3 use cases including fintech transaction processing and manufacturing anomaly detection. The final integrated platform underwent diverse testing, but large-scale production deployment data is not available in the project records.

Who owns the intellectual property and how can I license it?

The IP is distributed among the 11 consortium partners across 9 countries. With 6 industry partners (including 4 SMEs) and a 55% industry ratio, there is strong commercial interest in the consortium. Licensing discussions would need to go through the coordinator (EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON, Greece).

How does this differ from existing cloud orchestration tools like Kubernetes?

SERRANO goes beyond standard container orchestration by creating a single abstraction layer across edge, cloud, AND HPC resources — treating them as one borderless infrastructure. It adds cognitive (AI-driven) orchestration that automatically decides where to run workloads based on application requirements, security needs, and real-time conditions. Standard tools typically manage only one tier of infrastructure.

Is this ready to deploy in a production environment?

The project delivered a final integrated platform that went through diverse testing. However, as a Research and Innovation Action (RIA), the technology is at a tested/validated stage rather than commercial deployment. Moving to production would likely require additional engineering and integration work with your existing infrastructure.

What security certifications does this have?

The project focused heavily on security and privacy in distributed computing and storage. Based on available project data, specific security certifications are not mentioned in the objectives or deliverable descriptions. You would need to consult the consortium directly about compliance with specific standards like ISO 27001 or SOC 2.

Consortium

Who built it

The SERRANO consortium brings together 11 partners from 9 countries, with a strong 55% industry ratio (6 industry partners, including 4 SMEs). This signals real commercial intent — more than half the consortium has direct market access. The coordinator is a Greek research institute, supported by 3 universities and 2 research organizations providing the scientific backbone. The geographic spread across Cyprus, Germany, Denmark, Greece, Spain, Israel, Luxembourg, Romania, and the UK gives the technology broad European market exposure. With 4 SMEs involved, the technology was shaped by organizations that need practical, deployable solutions rather than purely academic outputs.

How to reach the team

The coordinator is a Greek research institute (EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON). SciTransfer can facilitate an introduction.

Next steps

Talk to the team behind this work.

Want to explore how SERRANO's cloud continuum platform could solve your infrastructure challenges? SciTransfer connects businesses with EU research teams — contact us for a tailored briefing.