Smart, Connected Products
Smart, connected products are used in IoT-driven healthcare, retail, manufacturing, and other sectors to monitor, control, optimize device performance. In IoT since 2011, ScienceSoft designs, builds and supports IoT platforms and apps for smart, connected products to increase their autonomy.
Services We Provide
1
Smart, connected products consulting
to evaluate the feasibility of a smart, connected product implementation project, collect and analyze functional requirements to smart, connected products and user apps, define the implementation project scope and schedule.
2
PoC development
to verify the viability and effectiveness of software architecture design.
3
Architecture design for an IoT solution (including an underlying IoT platform and user apps for smart, connected products)
to create a scalable architecture that allows to add new smart connected products to the solution and is based on the expected IoT functionality and relevant business needs.
4
Hardware selection, design and development
to help choose smart, connected devices or create custom devices using market-available components, set up and configure the IoT devices.
5
UX/UI design for a user app
to create an easy-to-navigate interface to control smart, connected devices.
6
Development of user and control apps for smart, connected products
to create the server side and the user side of user and control applications using an iterative approach. We launch the first version of the app with key functionality within 3 months and release new features every 2-4 weeks.
7
IoT data analytics
to process device-generated data and draw actionable insights (e.g., identify and eliminate ineffective business flows, smartly allocate resources).
8
Testing of the user apps for smart, connected products and the IoT platform
to assess their security, vulnerability, performance and conduct penetration testing.
9
Integration
to design and implement APIs for smart devices integration with a software product (for product companies) or third-party business systems, e.g., ERP, MES (for organizations).
10
Launch
to release an IoT solution or its version into the existing IT environment and configure the smart connected products.
11
After-launch support
to monitor an IoT solution and smart, connected products, manage their performance, diagnose and fix defects, conduct predictive maintenance of the devices and perform app administration.
Industrial products
- Control apps for enhanced production monitoring and control (including in real-time).
- Improved production processes and product performance.
Complex consumer products
- A central monitoring system to connect smart things (e.g., smart cars, smart thermostats, smart watering systems).
- Control apps with advanced data analytics capabilities to analyze product use by customers.
- Monitoring and control over smart, connected products with user apps.
Simple consumer products
IoT platforms and user apps for:
- Healthcare devices (e.g., glucose meters, ECG monitors).
- Household appliances (e.g., smart microwaves, security systems).
- Fitness items (e.g., fitness bracelets, scales).
Predictive and preventive maintenance
- Assess productivity of a smart, connected product in a short- and long-term perspective.
- Predict breakdowns and malfunctions of smart, connected products.
- Adjust the performance of smart, connected products remotely.
Control via mobile and web apps
- Get real-time information about smart, connected products with mobile and web apps.
- Tune performance of smart, connected products.
- Set up automatic behavior modes for smart, connected products.
Product usage analytics
- Get feedback on the usage of a smart, connected product.
- Identify the most popular and underused features to work on the product’s functionality.
- Analyze collected data and discover the need to add new functionality.
Usage-based pricing
- Charge the customers for the real use of smart, connected products’ functions with an app gathering the usage data, calculating usage costs, and sending bills to the customers.
- Improve transparency of vendor-customer cooperation and save customers from unjustified expenses.
The Financial Times Includes ScienceSoft USA Corporation in the List of the Americas’ Fastest-Growing Companies 2023
For the second year in a row, ScienceSoft USA Corporation ranks among 500 American companies with the highest revenue growth. This achievement is the result of our unfailing commitment to provide high-quality IT services and create best-value solutions that meet and even exceed our clients’ expectations.
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With what IT systems should smart, connected products integrate?For effective functioning, we suggest integration with enterprise systems (analytics system, ERP software, etc.). |
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Can the maintenance of smart, connected products be outsourced to independent service providers?Sure! We will help you plan the maintenance process and mitigate the risks of delegating smart product maintenance to one or several independent service providers. If several vendors are going to deal with different smart, connected products, we will help coordinate their activities to ensure smooth and effective product maintenance. |
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Can multiple smart, connected products be connected to one IoT platform?Yes, it’s beneficial due to the high reuse of software. We are ready to adjust the components of an IoT platform (data warehouses, analytics and machine learning, control and user applications) to ensure effective cohabitation of your smart, connected products. |
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How to effectively handle data generated by smart, connected products?We help you design or update your IoT solution to effectively ingest, store, process, and analyze data generated by sensors in smart, connected products. Thus, you can ensure quick and valuable insights from constantly growing data volumes. |
Clouds
Cloud databases, warehouses and storage
AWS
We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.
We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.
Azure
We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.
Azure SQL Database is great for handling large volumes of data and varying database traffic: it easily scales up and down without any downtime or disruption to the applications. It also offers automatic backups and point-in-time recoveries to protect databases from accidental corruption or deletion.
Google Cloud Platform
We use Google Cloud Datastore to set up a highly scalable and cost-effective solution for storing and managing NoSQL data structures. This database can be easily integrated with other Google Cloud services (BigQuery, Kubernetes, and many more).
Programming languages
Back end
Practice
19 years
Projects
200+
Workforce
60+
Our .NET developers can build sustainable and high-performing apps up to 2x faster due to outstanding .NET proficiency and high productivity.
Practice
25 years
Projects
110+
Workforce
40+
ScienceSoft's Java developers build secure, resilient and efficient cloud-native and cloud-only software of any complexity and successfully modernize legacy software solutions.
Practice
10 years
Projects
50+
Workforce
30
ScienceSoft's Python developers and data scientists excel at building general-purpose Python apps, big data and IoT platforms, AI and ML-based apps, and BI solutions.
Practice
10 years
Workforce
100
ScienceSoft delivers cloud-native, real-time web and mobile apps, web servers, and custom APIs ~1.5–2x faster than other software developers.
Practice
16 years
Projects
170
Workforce
55
ScienceSoft's PHP developers helped to build Viber. Their recent projects: an IoT fleet management solution used by 2,000+ corporate clients and an award-winning remote patient monitoring solution.
Practice
34 years
Workforce
40
ScienceSoft's C++ developers created the desktop version of Viber and an award-winning imaging application for a global leader in image processing.
Practice
4 years
ScienceSoft's developers use Go to build robust cloud-native, microservices-based applications that leverage advanced techs — IoT, big data, AI, ML, blockchain.
Front end
Practice
21 years
Projects
2,200+
Workforce
50+
ScienceSoft uses JavaScript’s versatile ecosystem of frameworks to create dynamic and interactive user experience in web and mobile apps.
Practice
13 years
Workforce
100+
ScienceSoft leverages code reusability Angular is notable for to create large-scale apps. We chose Angular for a banking app with 3M+ users.
Workforce
80+
ScienceSoft achieves 20–50% faster React development and 50–90% fewer front-end performance issues due to smart implementation of reusable components and strict adherence to coding best practices.
ScienceSoft uses Meteor for rapid full-stack development of web, mobile and desktop apps.
By using a lightweight Vue framework, ScienceSoft creates high-performant apps with real-time rendering.
When working with Ember.js, ScienceSoft creates reusable components to speed up development and avoid code redundancy.
With Next.js, ScienceSoft creates SEO-friendly apps and achieves the fastest performance for apps with decoupled architecture.
Mobile
Practice
16 years
Projects
150+
Workforce
50+
ScienceSoft’s achieves 20–50% cost reduction for iOS projects due to excellent self-management and Agile skills of the team. The quality is never compromised — our iOS apps are highly rated.
Practice
14 years
Projects
200+
Workforce
50+
There are award-winning Android apps in ScienceSoft’s portfolio. Among the most prominent projects is the 5-year-long development of Viber, a messaging and VoIP app for 1.8B users.
Practice
11 years
Projects
85+
Workforce
10+
ScienceSoft cuts the cost of mobile projects twice by building functional and user-friendly cross-platform apps with Xamarin.
ScienceSoft uses Cordova to create cross-platform apps and avoid high project costs that may come with native mobile development.
ScienceSoft takes the best from native mobile and web apps and creates the ultimate user experience in PWA.
Practice
8 years
Projects
300+
ScienceSoft reduces up to 50% of project costs and time by creating cross-platform apps that run smoothly on web, Android and iOS.
ScienceSoft will save you from double or even triple expenses associated with platform-specific coding by creating cross-platform apps in Flutter.
With Ionic, ScienceSoft creates a single app codebase for web and mobile platforms and thus expands the audience of created apps to billions of users at the best cost.
IoT data analytics and machine learning
Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.
We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.
We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.
By request of a leading market research company, we have built a Hadoop-based big data solution for monitoring and analyzing advertising channels in 10+ countries.
We use Kafka for handling big data streams. In our IoT pet tracking solution, Kafka processes 30,000+ events per second from 1 million devices.
A large US-based jewelry manufacturer and retailer relies on ETL pipelines built by ScienceSoft’s Spark developers.
Service management solutions
Projects
10+
ScienceSoft achieves at least 20% increase in sales and 30% improvement in case resolution with well-thought-out and business-tailored Salesforce solutions.
Practice
14 years
Projects
25+
Workforce
10+
A certified Microsoft partner, ScienceSoft creates CRM and ERP solutions powered by Dynamics 365 and optimizes most effectively a range of business operations.
Why Choose ScienceSoft
- Software product development expertise since 1989.
- Experience in delivering IoT solutions since 2012.
- Data science and data analytics expertise since 1989.
- Cybersecurity services experience since 2003.
- Developing complex cloud applications since 2011.
- Mature quality management system confirmed by ISO 9001 certification allowing to implement projects fully meeting customers' quality, time, and budget expectations.
Selected Projects
All about Internet of Things
IoT Services
IoT Solutions
IoT Testing