Smart, Connected Products

IT Services for Smart, Connected Products - ScienceSoft

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

2

PoC development

3

Architecture design for an IoT solution (including an underlying IoT platform and user apps for smart, connected products)

4

Hardware selection, design and development

5

UX/UI design for a user app

6

Development of user and control apps for smart, connected products

7

IoT data analytics

8

Testing of the user apps for smart, connected products and the IoT platform

9

Integration

10

Launch

11

After-launch support

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.

With what IT systems should smart, connected products integrate?

For effective functioning, we suggest integration with enterprise systems (analytics system, ERP software, etc.).

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.

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.

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.

Cloud databases, warehouses and storage

AWS

Amazon Redshift

We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.

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Amazon DynamoDB

We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.

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Azure

Azure Cosmos DB

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.

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Azure SQL Database

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

Google Cloud Datastore

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

Microsoft .NET

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.

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Java

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.

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Python

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.

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Node.js

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.

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PHP

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.

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C++

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.

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Golang

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.

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Front end

JavaScript

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.

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Angular JS

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.

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React JS

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.

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MeteorJS

ScienceSoft uses Meteor for rapid full-stack development of web, mobile and desktop apps.

Vue.js

By using a lightweight Vue framework, ScienceSoft creates high-performant apps with real-time rendering.

Ember.js

When working with Ember.js, ScienceSoft creates reusable components to speed up development and avoid code redundancy.

Next.js

With Next.js, ScienceSoft creates SEO-friendly apps and achieves the fastest performance for apps with decoupled architecture.

Mobile

iOS

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.

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Android

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.

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Xamarin

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.

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Apache Cordova

ScienceSoft uses Cordova to create cross-platform apps and avoid high project costs that may come with native mobile development.

Progressive Web Apps

ScienceSoft takes the best from native mobile and web apps and creates the ultimate user experience in PWA.

React Native

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.

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Flutter

ScienceSoft will save you from double or even triple expenses associated with platform-specific coding by creating cross-platform apps in Flutter.

Ionic

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

Apache Cassandra

Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.

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Amazon DynamoDB

We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.

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Apache HBase

We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.

Apache Hadoop

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.

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Apache Kafka

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.

Apache Spark

A large US-based jewelry manufacturer and retailer relies on ETL pipelines built by ScienceSoft’s Spark developers.

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Service management solutions

Salesforce

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.

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Microsoft Dynamics 365

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.

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Why Choose ScienceSoft

Selected Projects