Ubiquitous

Bring Artificial Intelligence to your Edge and IoT devices

Manage and monitor your fleet of cameras and smart devices easily and intuitively. With ubiquitous you develop and deploy your Computer Vision and Edge AI applications in minutes, reducing cost and development time.

Automate your business with Computer Vision at the Edge

With ubiwork you bring artificial intelligence to your Edge and IoT devices and simplify their management with the scalability and resilience of the cloud. With our proprietary optimization algorithms, you’ll have access to highly performing and energy-efficient solutions.

Create faster, smarter, and more interconnected solutions​

Edge computing is tailored for continuous, real-time solutions. By handling data in close proximity to its origin, latency is reduced, enabling organizations to acquire immediate actionable insights. This enables businesses to instantly address customer needs, enhance warehouse operations for peak efficiency and safety, drive innovation in autonomous vehicles, and much more.

Smart Industries

Edge AI streamlines manufacturing processes with real-time data and enhances retail through personalized customer experiences and intelligent analytics.

Smart Cities

In smart cities, Edge AI processes real-time data, optimizing services and enhancing overall urban functionality for increased efficiency, connectivity and livability.

Smart Agricolture

Utilizing IoT sensors and data analytics supports the optimization of farming practices, leading to improved resource efficiency and sustainable growth in crop yields.

Renewable Energy

Edge AI boosts the energy sector by enabling real-time monitoring, optimizing grids, forecasting renewable energy, improving security, and enhancing asset management.

How it works

Effortlessly monitor deployments using personalized dashboards, update applications with just a few clicks, and troubleshoot issues via remote access to systems and applications — all through the streamlined interface of ubidash.

Create faster, smarter, and more interconnected solutions

Edge computing overcomes the limitations of the cloud by reducing latency and enabling the integration of artificial intelligence in all scenarios where data must be processed locally. Our solutions can be applied in the manufacturing industry to smart farming, and we support both on-grid and off-grid applications.​

Detecting defective products

With smart cameras you can recognize defects or anomalies on your products during production.

Real-time monitoring and surveillance

With artificial intelligence you can monitor what is happening in real time by tracking objects and movements.

Automatic production control

Monitor production by categorizing products and monitoring the congestion status of the production line.

Crop monitoring

Edge AI helps you optimize the efficiency of your crops through active and intelligent monitoring.

About us

ubiquitous

Ubiquitous is a pre-seed startup that comes to life from the research laboratories of Sapienza University of Rome. We develop innovative and scalable green-Edge AI solutions.

Mission

Our mission is to simplify the lifecycle management of Green Edge AI solutions, making people's lives easier and making AI applications more pervasive.

Research & Innovation

Our products are the result of years of R&D which has allowed us to develop profound expertise and contribute to the advancement of state-of-the-art technologies.

Our Team

Our team brings together experience in Edge Computing and AI applied to Computer Vision. This combination allows us to support you in developing any Edge AI solution.

Gabriele Proietti Mattia, PhD

CEO & Co-founder

He has expertise in designing decentralized scheduling and load balancing algorithms in Edge and Fog Computing environments.

Luca Maiano, PhD

CTO & Co-founder

Expert in Computer Vision and AI, he has gained profound experience in the field first as a Data Scientist and then as a researcher.

Roberto Beraldi, PhD

R&D & Co-Founder

Associate Professor with more than 20 years of expertise in distributed systems and distributed scheduling in Edge and Fog Computing environments.

Irene Amerini, PhD

R&D & Co-Founder

Associate Professor with more than 10 year of experience in Computer Vision and AI, as well as Deep Neural Networks and Media Forensics.

Ready to scale your Edge AI applications?

We can assist you in creating, building, and implementing your Edge AI solutions. Our support spans from crafting a proof of concept to scaling up during the development process.

Ready to simplify your edge and AI solutions?

FIll out the form below and we will cantact you as soon as possible