You plant the idea, we make it bloom.Plant

Krasamo is a mobile-first digital services and consulting company focused on the Internet-of-Things and Digital Transformation.

WHAT WE DO

UI/UX Design

UI/UX Design

All great software begins with a great UI/UX design. Providing users with a clean, intuitive, consistent user experience is essential to the success of your software project. Our UI/UX team can design (or redesign) your user experience. Our design process can identify common use scenarios and help you choose a user experience that is tailored to your customers’ needs.

#UIUXDesign

IoT—Internet of Things
IoT—Internet of Things

Inexpensive sensors and actuators that are connected to the internet can extend the reach of computational devices and artificially intelligent systems to improve quality of life, conserve power, automate mundane tasks, and improve business efficiency and effectiveness. IoT has been a core focus for Krasamo since our inception. Our engineers have the software and hardware skills to bring IoT solutions to life.

#InternetofThings

Mobile Apps

Mobile Apps

Krasamo has been developing production-quality mobile apps since 2010. Our team has experience in developing both native and cross-platform mobile applications. Our collaborative software development process ensures high-quality results, rapid turnaround, accountability and transparency.

#Mobile #iOS #Android

Cloud Solutions

Cloud Solutions

Cloud computing services such as Google Cloud Platform, Amazon AWS, and Microsoft Azure enable the creation of robust services for mobile and web projects. These platforms provide sophisticated building blocks that allow our experienced developers to quickly assemble the robust and scalable services you need to power your next project.

#CloudSolutions

Digital Transformation

Digital Transformation
and Custom Workflows

Improving productivity for a nontechnical workforce is a huge challenge. Krasamo has designed and implemented custom mobile workflow solutions that help our enterprise customers effectively manage data entry, track and manage their workforce, and provide just-in-time training and support. We can help you make your workforce more productive through Digital Transformation!

#DigitalTransformation

Digital Strategy

Digital Strategy

All businesses need a digital strategy to achieve their goals in the most efficient way and stay relevant in the market. We help our customers create and sustain value through digital solutions, creating the synergies needed to grow in the digital age. Leveraging data and analytics, we help our customers pinpoint and implement innovative solutions and delightful digital experiences.

#DigitalStrategy

OUR WORK

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intelliGen Refrigeration Local Monitor System

intelliGen Refrigeration Local Monitor System

Krasamo helped Heatcraft design and implement the intelliGen(TM) Refrigeration Local Monitoring System. The intelliGen Local project was designed to allow the user could manipulate the settings and functions of the refrigeration system on the web from the physical location.

BLOG

Air Quality Monitoring Systems in Smart Buildings

Air Quality Monitoring Systems in Smart Buildings

Discover cutting-edge air quality monitoring systems for smart buildings that enhance occupant health, comfort, and energy efficiency. Leveraging IoT technology, these systems optimize HVAC and ventilation, ensuring compliance with air quality standards and regulations. Make data-driven decisions for a healthier indoor environment with real-time monitoring applications, customizable sensor networks, and embedded processing. Upgrade your smart building today with advanced air quality monitoring solutions.

Essential IoT Skills for System Development

Essential IoT Skills for System Development

This article outlines the essential IoT skills required for successful system development, including hardware design, firmware/software development, sensor/actuator integration, network engineering, IoT security, cloud computing, and data analytics/machine learning. As IoT systems grow in complexity, understanding these skills becomes vital for businesses to remain competitive. Enterprises without in-house expertise can partner with established IoT development companies to access specialized skills quickly. The key takeaway is that investing in planning resources focused on security, scalability, and efficiency is critical to designing and developing successful IoT systems.

Blockchain for IoT Helps Secure Data and Transactions

Blockchain for IoT Helps Secure Data and Transactions

Blockchain can enhance the security and trust of data and transactions in IoT systems by automating processes, reducing data breaches, increasing transparency, and providing data integrity. Platforms such as IOTA and Hyperledger Fabric offer secure device interactions and support smart contracts and dApps. However, implementing blockchain in IoT systems presents challenges, such as energy consumption, lack of regulation, and governance structures. Blockchain in IoT systems provides a more secure and trustworthy system for various use cases, including healthcare, supply chain, smart cities, and energy management. Creating IoT systems that support private blockchain can enhance data security and transactions.

IIoT-Driven Transformation: Boosting Industrial Efficiency & Innovation

IIoT-Driven Transformation: Boosting Industrial Efficiency & Innovation

This paper discusses the transformative potential of the Industrial Internet of Things (IIoT) in enhancing operational efficiency and reducing expenses in plants and buildings. By leveraging wireless sensors, data collection, analytics, and machine learning, IIoT systems create a competitive advantage through improved interoperability and connectivity. We explore the factors driving IIoT adoption, the benefits it offers, and the different types of IIoT software. The paper also highlights Krasamo’s expertise in IoT consulting services and their comprehensive range of IoT offerings to help enterprises implement and benefit from IIoT systems.

Creating a Machine Learning Use Case: Steps and Considerations

Creating a Machine Learning Use Case: Steps and Considerations

This article discusses the steps and considerations for creating a machine learning use case to improve business processes. It explains the concept of machine learning and the importance of data quality and volume in creating accurate predictions. The article outlines the steps in creating an ML use case, including defining the problem, collecting and preparing data, defining product objectives and metrics, training and evaluating the model, and deploying the model. The article also discusses the types of ML problems and how to discover ML use cases in existing business processes. Overall, the article emphasizes the importance of understanding business problems and identifying opportunities to use ML to create enhanced solutions.