You plant the idea, we make it bloom.
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
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.

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.

Mobile Apps

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.

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!

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.
OUR WORK


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
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
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.
Designing Machine Learning Systems for Business: Considerations and Best Practices
Table of Content...
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.
AI Consulting: Accelerating Adoption Across Business Functions
In today’s digital age, adopting AI solutions is crucial for businesses to gain a competitive advantage. However, many organizations lack the necessary data and machine learning (ML) skill set to create valuable AI solutions. This is where AI consultants play a key role, bridging the skill set gap and accelerating the adoption of AI across business functions. AI consultants help assess an organization’s maturity level and design a transformation approach that fits the client’s goals. They also promote the creation of collaborative, cross-functional teams with analytical and ML skills, and work on creating consistency in tools, techniques, and data management practices to enable successful AI adoption.
Building Machine Learning Features on IoT Edge Devices
Enhance IoT edge devices with machine learning using TensorFlow Lite, enabling businesses to create intelligent solutions for appliances, toys, smart sensors, and more. Leverage pretrained models for object detection, image classification, and other applications. TensorFlow Lite supports iOS, Android, Embedded Linux, and Microcontrollers, offering optimized performance for low latency, connectivity, privacy, and power consumption. Equip your IoT products with cutting-edge machine learning capabilities to solve new problems and deliver innovative, cost-effective solutions for a variety of industries.