
Pioneering
the future with
Fog-as-a-Service
(FaaS)
About the company

Vision
Revolutionize the way humans interact with technology and the world.

Mission
Enable and accelerate the development of future technologies and applications that were not possible before.
At CloudAtlas, we stand at the convergence of top-tier scientific research and groundbreaking applications. Our commitment to Fog-as-a-Service (FaaS) is more than just a technological endeavor; it’s a pledge to transform industries worldwide.
Through our esteemed collaborations with global universities and elite research centers, we’re crafting a new technological era. Dive deeper to discover how we’re making our vision a reality.
Our partners












Features & Benefits

Localized Processing with AI
Leveraging AI, CloudAtlas processes data near its source, enabling faster decision-making and ultra-low latency in real-time applications.

Seamless Integration
Integrate effortlessly with existing systems, offering scalable solutions without overhauls.

Enhanced Security
State-of-the-art security protocols protect your data at every stage, giving you peace of mind.

Optimized Storage Solutions
With AI at its core, our system dynamically adjusts storage intelligently balancing costs and performance by seamlessly switching between local and cloud storage.

Real-time Analytics
Instantly analyze data at the fog level, allowing for swift and informed decisions.

Adaptive Load Balancing
CloudAtlas AI-driven load distribution consistently maintains performance, even during peak demands, guaranteeing an uninterrupted user experience.
Architecture

Use Cases of
CloudAtlas FaaS

Smart Cities
Enhance urban life by processing traffic, public transport, and utility data on-site, resulting in real-time adaptive systems that reduce congestion and improve city services.

IoT Devices
With the power of FaaS, everyday devices, from smart fridges to wearable fitness trackers, can function with enhanced efficiency, ultra-low latency, and real-time data processing.

Agriculture & Precision Farming
Analyze soil, weather, and crop data right in the field, allowing farmers to make immediate decisions about irrigation, planting, and harvesting for optimized yields.

Retail Experience
Enhance in-store shopping by processing customer data locally for real-time personalized offers, stock management, and improved customer service without the lag of cloud-based systems.

Connected Vehicles
Cars equipped with FaaS can process vast amounts of sensory data on the go, optimizing navigation, enhancing safety features, and providing real-time updates on road conditions.

Manufacturing & Industry 4.0
Production lines adapt in real-time to changes in demand, equipment status, and supply chain disruptions by processing data locally, minimizing downtime, and enhancing productivity.
Case studies
Core Team
Vytautas Bernotas
Co-founder & CEO
Entrepreneur with over 10 years of hands-on experience in technology, business management, strategy and execution. Co-founded and bootstrapped a cloud company to €5M ARR.
Vytautas Paulauskas
Co-founder & CTO
Over 10 years of engineering experience in edge computing and virtualized distributed systems in pharma and food industries.
Rūta Jankūnienė, PhD
CSO
Ph.D. in Technology Science with over 20 years of research experience, more than 30 scientific publications, and a lecturer at leading Lithuanian higher education institutions.
Dmitrij Nesterenko
Co-founder, CFO & COO
Experienced in international project management, funding and financial management within a global bank, with over 10 years of hands-on financial expertise.
Donatas Prialgauskas
CInO & Head of AI Architecture
Multifaceted Lead DevSecOps engineer with over 10 years of technical expertise in software development, cloud infrastructure, automation and process management.
Gediminas Jankauskas
Co-founder & CBDO
Co-founder of a cloud company with over 10 years of partnership with Vytautas Bernotas. Expert business developer & strategist, successfully expanded business to global markets
Tomas D.
Head of EdgeOps & Platform engineering
Seasoned technical leader with over 15 years of DevOps and engineering experience at companies like Hewlett-Packard and Microsoft
Linas D.
Head of Security Engineering
Over 10 years of experience in DevSecOps, cybersecurity, systems management & hardening in advertising, hosting and healthcare industries.
Žadvydė Vėbraitė
CMO & Founder's Associate
Communications professional with extensive hands-on experience in market research, strategic planning and execution.

The development of innovative distributed multi-layer system
CloudAtlas currently implements the project “The development of innovative distributed multi-layer system”
The goal of the project is to create a distributed multi-layer computing and data transmission network using edge, fog and cloud computing with integrated AI data models of varying complexity and reliability.
The project is implemented in accordance with the 2022-2030 economic transformation and competitiveness development program by the Ministry of Economy and Innovation of the Republic of Lithuania: measure no. 05-001-01-05-07 “Create a consistent system for promoting innovative activities”; activity “Encourage innovation supply” (Central and Western Lithuania).
The project is financed by the European Regional Development Fund.
Total budget is EUR 305,770; amount of funding allocated by the EU fund is EUR 200,000.
The duration of the project is from August, 2023 to February, 2025.