Czario covers all the components of the IoT architecture to develop IoT-capable software solutions.
Ranging from manufacturing, healthcare, and retail to automobiles, our IoT application development services cater to a wide range of industries. We design, develop and implement IoT-capable enterprise applications for SaaS applications and smart products.
If you have varying requirements to an IoT application’s functionality, we will closely analyze the requirements specification, define the project scope and complexity, and provide a delivery schedule.
In case you have a vision of an IoT application and want to materialize it into a ready-to-use IoT solution, we carry out a feasibility study and analyze legal, regulatory, resource and other requirements to create a well-defined IoT application specification.
We can implement an IoT application in parallel to ideation to see if it fits your needs. Agile launching lets us create and test a minimum viable product or a first application version with a lean set of high-priority features within 3-6 months and releasing new features every 2-4 weeks (iteration).
Our UI/UX designers wrap robust application functionality into a user-friendly and appealing interface to provide IoT application users with a convenient way of accessing IoT inputs and translated data that will soon turn into a digital asset.
For software product companies, we design, model, and implement APIs to allow you reliably integrate IoT functionality into your software product. For enterprises, our engineering team makes sure that the developed IoT application seamlessly integrates with relevant external systems, such as ERP, MES, OMS, and others.
We place a premium on applications’ quality from the very start of the project and focus on the prevention and early detection of defects. At the application design stage, we conduct comprehensive verification of requirements and application architecture.
At the development stage, we ensure quality with a well-structured and well-documented code, and perform regular code reviews and unit testing. At the testing stage, we conduct risk-based testing and pay special attention to critical application functionalities, perform exploratory testing to detect non-obvious application defects, and employthe right degree of automation to increase test coverage and eliminate regression errors.
Our expertise in cyber security helps us incorporate timely and wise security measures as early as at the application design phase and conduct vulnerability assessment and penetration testing for all major releases.
For enterprise clients, we provide comprehensive training including step-by-step guides, onsite training, and expert workshops before an application or an application build goes live to help your developers/system administrators/generic users get used to the new processes and ensure high user adoption.
For enterprises, we release an IoT application or its version into the existing enterprise IT environment while noting the challenges that need to be addressed in the next version.
We will carry out IoT application monitoring and performance management, proactively diagnose and fix application defects/downtime issues, and perform daily administration tasks including security updates, user and access management to make sure your IoT-integrated product or enterprise IoT application runs without hiccups and stays at speed and up-to-date with your business needs.
We are ready to deliver a comprehensive knowledge transfer plan and share our expertise with your IT team to enable you to manage and develop an IoT application with in-house resources.
We use a modular, scalable, and modernized IoT architecture that catalyzes fast vertical and horizontal scaling and allows enhancing the functional modules, while expanding the existing functionality to new device models with significantly lesser effort.
Our embedded software engineers have extensive experience in creating software integrated with endpoint IoT devices. The embedded software we create efficiently handles sensor data flow and works in alignment with various environments.
Our engineers create lightweight yet robust embedded software that dynamically adapts to the limited computing resources of IoT gateways.
We use proven development and testing frameworks, such as Apache Spark, Apache Storm, Amazon Kinesis Streams, and others to empower your IoT solution with an event stream processing engine to carry out real-time data analytics.
With more than ten years of experience in big data, we design, implement, and maintain reliable and scalable data lakes and big data warehouses for well-tuned IoT data management. At the data lake and a big data warehouse design stage, we consciously map the requirements to the IoT application functionality and performance to choose those technologies and their configurations that provide optimal storage and computing capabilities without incurring excessive costs.
Our IoT panel of experts leverage our experience in data analytics to develop IoT data into actionable insights, visualized in a clear and well-structured manner.
Our data science engineers have vast experience in implementing smoothly functioning and well-performing machine learning-driven applications and are ready to share their expertise to extend the functional scope of your IoT solution to predictive and prescriptive analytics.
Our software engineers design and implement control applications that exhibit the capabilities of automatically executing code to trigger alerts and smart devices’ actions.
With years of experience in software development and mobile application development, our software engineers create easy-to-use, high-performing web and mobile apps, which enable IoT application users conveniently access the results of the analysis and provide for handy remote management of smart products and systems.
We carefully calibrate your immediate and long-term requirements and map them to solutions that are enabled using our technology stack.
| Device and sensor connectivity | C++, Qt |
| Clouds | AWS, Azure, GCP |
| Sensor data streaming | Kafka, Azure Event Hubs, Azure Stream Analytics, AWS Kinesis |
| Big data | Apache Cassandra, HDFS, Apache Hive, HBase, Amazon DynamoDB, Amazon Redshift |
| SQL | Microsoft SQL Server, MySQL, Oracle |
| Backend | Java, Microsoft .NET, Python, PHP, Node.js |
| Frontend | HTML5, CSS3, JavaScript |
| Mobile | iOS, Android, Xamarin |
Leverage the capabilities of IoT in your enterprise solution. Call us today to schedule a quick meeting and get a free analysis of your current solution for IoT implementation.
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