IoT Application Development Services

Over 12 years in IoT software development

IoT software development services cover requirements engineering, architecture design, platform and user apps creation, testing, and support. ScienceSoft offers IoT development services to deliver robust IoT solutions that optimize business processes and improve work safety.

 Internet of Things (IoT) Software Development - ScienceSoft
 Internet of Things (IoT) Software Development - ScienceSoft

Types of IoT Solutions We Deliver

ScienceSoft delivers Internet of Things solutions of any complexity for varied use cases in 30+ industries.

Industry-specific

Manufacturing

GO FOR INDUSTRIAL IOT SOLUTIONS

Healthcare

  • Hospital asset tracking.
  • Medical staff and patient location tracking.
  • Remote patient monitoring and diagnostics via smart medical devices.
  • Smart lighting in hospitals.
  • Automated hospital climate control.
  • Smart home care (e.g., fall detection, sleep rhythm tracking, air quality monitoring).
GO FOR HEALTHCARE IOT SOLUTIONS

Oil and Gas

  • Monitoring storage conditions of oil and gas.
  • Pipeline surveillance and leakage detection.
  • Remote oil & gas equipment inspection.
  • Predictive maintenance of oil & gas equipment.
GO FOR OIL AND GAS IOT SOLUTIONS

Energy

  • Home/enterprise energy management.
  • Energy consumption analytics.
  • Energy forecasting.
  • Asset management.
  • Energy billing optimization.
  • Utility communication.
GO FOR SMART ENERGY SOLUTIONS

Agriculture

  • Smart greenhouses, farms.
  • Real-time tracking of soil, water, light, humidity, temperature conditions.
  • Analysis of crop data.
  • Predicting weather patterns.
  • Tracking supply chains of agricultural products.
GO FOR AGRICULTURE IOT SOLUTIONS

Retail

  • Beacon-enabled loyalty programs for personalized in-store customer experience.
  • Smart shelves tracking product stock and scheduling replenishment.
  • Traffic control to restrict the number of in-store visitors.
GO FOR RETAIL IOT SOLUTIONS

Construction

  • Equipment and vehicle location tracking.
  • Real-time monitoring of construction equipment data and condition.
  • Employee health and safety tracking via wearables.
GO FOR CONSTRUCTION IOT SOLUTIONS

Cross-industry Internet of Things solutions

Predictive maintenance

  • Remote monitoring of products / equipment performance.
  • Early detection of problems.
  • Uncovering failure patterns.
  • Validating warranty claims.
  • Identifying warranty violations.
GO FOR PREDICTIVE MAINTENANCE

Supply chain management

  • Monitoring of inventory levels.
  • Automated alerting on low stock.
  • Warehouse climate control.
  • Robotic order fulfilment.
  • Transportation climate control.
GO FOR SUPPLY CHAIN MANAGEMENT

Real-time asset tracking

  • Asset location and movement tracking (both indoors and outdoors) with interactive maps and geofencing.
  • Asset tracking analytics and reporting.
GO FOR REAL-TIME ASSET TRACKING

Connected products

  • Smart industrial products with control apps.
  • Complex consumer products with a central monitoring system to connect smart things, control apps and user apps.
  • Simple smart consumer products like household appliances and fitness items.
GO FOR CONNECTED PRODUCTS

Connected vehicles

  • Monitoring of environmental conditions for the transportation and storage of products sensitive to temperature, humidity, etc.
  • Monitoring drivers’ activities.
  • Transportation route planning.
  • Adaptive cruise control.
  • Dispatch management.
  • Vehicle maintenance control.
GO FOR CONNECTED VEHICLE SOLUTIONS

Smart cities

  • Real-time monitoring of traffic and public parking situations.
  • Automated adjusting of street lighting based on the outside conditions.
  • Real-time tracking of public transport location.
  • Fire alert systems.
  • Crime prevention systems.
GO FOR SMART CITIES SOLUTIONS

Smart homes

  • Indoor conditions monitoring.
  • Automated control over energy consumption.
  • Video surveillance via cameras and motion detectors.
GO FOR SMART HOME SOLUTIONS

IoT projects by ScienceSoft

IoT Solution for Remote Care

End-to-end Development of an IoT Solution for Remote Care

  • Solution with 6 apps for web, Android TV, Android, and iOS devices.
  • Dedicated REST API, chat, survey builder, and report servers on Node.js.
  • Integration with Sensor Network Appliances to collect patient health data and activities.
Car Electronics Management Application

Development of Remote Car Management Solution

  • Direct cooperation with vehicle tracking hardware manufacturers in South Korea.
  • Scalable server on Azure Cloud.
  • Development and integration of administrative web and iOS/Android apps for remote car control.
  • Intelligent voice command interface (Google Voice Actions for Android and Siri for iOS.
IoT Application for Smart Home Control

IoT Application for Smart Home Control

  • Reduced energy consumption due to automated low energy consumption mode when inhabitants are away.
  • Reduced energy costs thanks to the choice of the day's most preferable prices.
  • Improved security due to the video surveillance system and automated alarms.
Truck Temperature Monitoring Solution

Truck Temperature Monitoring Solution

  • Custom module for real-time cargo condition monitoring, delivery violations alerting, and advanced reporting based on AWS Cloud.
  • Increased sales due to the innovative monitoring features.
  • Quick access to information about the condition of goods.
  • Reduced expenses associated with rejected goods.
Pet Tracker Software and Mobile Apps for Remote Tracker Management

Pet Tracker Software and Mobile Apps for Remote Tracker Management

  • An easily scalable big data solution based on Apache Kafka, Apache Spark and MongoDB.
  • Processing 30,000+ events per second from 1 million devices.
  • Safe data transfer and push notifications due to Kafka Streams.
  • Storing data in an operational database on PostgreSQL RDS.
IoT App for Automated Technical Control of Building Construction

IoT App for Real-time Monitoring and Technical Control of Building Construction 

  • User-friendliness due to color coding of the state of a building.
  • Integration with external systems.
  • Efficient technical control.
  • Increased security of constructions and complex engineering objects.
IoT App for Heart Rate Tracking

IoT App for Heart Rate Tracking

  • A native iOS app gathering data from different heart rate monitors (e.g., Wahoo Fitness, 60beat BLUE Heart Rate, Zephyr).
  • Quantitative assessment of a user’s physical state based on the lying-to-standing test and the Valsalva deep breathing maneuver.
  • Presenting the heart beat data as an intuitive three-colored chart.
IoT Startup Consulting

IoT Startup Consulting

  • Preparation of IIoT PaaS architecture design documentation.
  • Creation of system requirements specification (functional, security, performance, deployment, and configuration requirements).
  • Quick and codeless building of IIoT applications due to IIoT PaaS based on open-source technologies and using cloud services like AWS and Azure.
RFID-Enabled Smart Farming App for Livestock Management

RFID-Enabled Smart Farming App for Livestock Management

  • Integration app for a solution for dairy farms that uses RFID scanner and pidion device (palmtop) to transmit the information via Bluetooth.
  • Reduced time spent on data gathering and processing.
  • Flexibility that allows tailoring the solution to all kinds of livestock production.

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.

IoT Architecture Design by ScienceSoft

We use a modular Internet of Things architecture that provides for fast vertical and horizontal scale-up and allows adding new functional modules or expanding the current functionality to new device models with reasonable effort. A typical architecture of an IoT solution includes the following components:

IoT architecture

Physical level

Details

Sensors, GPS tags and RFID tags, mounted on assets to collect and transmit various data (e.g., temperature, operating speed, location) into an IoT solution. Collected data goes through the field gateways and the cloud gateway to the streaming data processor. Actuators attached to assets receive commands to move or control them from control apps (e.g., increase or decrease machine rotation speed).

Data processing level

Details

The streaming data processor transmits the input data to the data lake and control apps. From the data lake (where the data is stored in its natural format) it gets to the big data warehouse that stores structured data for further analysis. In-depth data analysis helps identify abnormal patterns and trends in IoT data and generate actionable insights on how to fix issues. The machine learning component creates precise models that identify data patterns and trends based on historical data. Based on these models, control applications send commands to actuators.

Application level

Details

Web and mobile applications enable users to communicate with the IoT solution and view real-time data and reports.

IoT solution consulting

  • IoT solution prototyping.
  • Selection of fitting hardware (sensors, GPS tags, RFID tags (active and passive), RFID antennas, RFID readers
  • Planning of automated collecting, filtering, and analyzing data from smart devices.
  • Data security strategy planning.
  • IoT solution adoption planning.
  • IoT solution development project planning.

IoT device network creation and management

  • Selection of suitable IoT devices.
  • Configuring IoT devices and connecting them to the network.
  • IoT devices monitoring and diagnostics.

ScienceSoft's tip: Device choice can in many ways influence the project costs and the performance levels of the final IoT solution. We pay high attention to this stage and help to balance the investments and results.

Edge computing setup

  • Creating an edge infrastructure consisting of a number of edge servers placed across a network.
  • Grouping IoT devices through an edge device.
  • Setting up advanced analytics and reporting tools.

Data center implementation

  • Designing and creating a data processing environment for heterogeneous IoT data.
  • Building machine learning and data science algorithms to identify data patterns and trends that help solve specific problems in IoT-based equipment condition, operation, etc.

Development of IoT data visualization apps

  • Diversity of web and mobile apps to serve IoT visualized data insights, including VR/AR apps.
  • Multiple visualization techniques (e.g., bar, pie, funnel, connectivity charts; heat maps).
  • Tailored reports and dashboards on IoT data for different user roles (managers, data experts, etc.).
  • Customizable IoT data visualization (adding new data sources, configuring additional reports, etc.).

Development of remote control apps

  • Design of rule-based and machine-learning based remote control apps (web and mobile).
  • Remote control app configuration and integration with IoT devices.

ScienceSoft’s tip: We recommend ensuring that commands from control apps are additionally analyzed in the data warehouse. It helps uncover and automatically block suspicious access to control apps.

QA and testing

  • Comprehensive verification of requirements for the IoT solution and its architecture.
  • Well-structured and well-documented code, regular code reviews, and unit testing.
  • Testing automation to increase test coverage and eliminate regression errors in the IoT solution.

IoT app management and support

  • Identifying and fixing data quality, IoT application availability, and usage issues.
  • Assessment of network, server, database, and application vulnerabilities, and addressing them.
  • IoT infrastructure compliance review.
  • Adding new functionality to IoT apps.

Why Choose ScienceSoft as Your IoT Development Company

  • Business analysts with 5-9 years of experience.
  • Full-scale PMO to handle large and complex IoT projects.
  • ISO 9001-certified quality management system to fully meet our customers' quality, time, and budget expectations.

Choose ScienceSoft as Your IoT Development Partner!

With ample experience in IoT application development and a mature approach to IoT project management, ScienceSoft will deliver a full-fledged IoT solution while keeping your development costs on point.

Technologies We Use

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).

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.

AWS IoT services

IoT platforms

Supported communication protocols

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.

Data visualization

Power BI

Practice

7 years

ScienceSoft sets up Power BI to process data from any source and report on data findings in a user-friendly format.

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Benefits of Cooperation with ScienceSoft

Short time to market

  • Start of an IoT project in under 1 week.
  • Agile development: IoT MVP in 3-6 months.
  • Regular update releases every 2-4 weeks.

Assisted IoT device management

  • Help with IoT hardware choice, configuration, connection, and monitoring.
  • Assistance in IoT software updates.

High transparency of IoT development projects

  • KPI-based progress control.
  • A personalized system of KPIs for each customer (e.g., budget planned and spent, implemented features, service availability, user satisfaction).

Strong security of IoT data

  • Security management capabilities are backed by ISO 27001 certificate.
  • Compliance with HIPAA, GDPR, etc.
  • Vulnerability assessment & penetration testing.

Pricing models for IoT Development Projects

Fixed Price

You pay the price based on time and efforts estimated at the initial cooperation stage and specified by a contract.

Best for: IoT projects with well-defined and stable requirements: feasibility study, PoC, small and short-term IoT application development projects.

Time & Material, Time & Material with a Cap

You receive the end-of-the-month invoice based on the hours or efforts reported per month (under the stated upper limit in case of T&M with a cap).

Best for: IoT projects with a changeable scope: advisory activities, agile projects, IoT evolution, large and long-term IoT projects.

Consider Professional IoT Software Development Services

As an IoT app development company, ScienceSoft offers the following services:

IoT solution consulting

  • Investigating your business context and tasks/problems you want to address with IoT implementation.
  • Defining what data must be collected to meet business goals.
  • Technical IoT solution requirements engineering.
  • Outlining the IoT solution’s architecture.
  • Determining a fitting tech stack.
  • Hardware planning.
  • Consulting on key integrations for the IoT solution.
  • Elaborating on a data security strategy.
  • Advising on the IoT solution adoption.
  • IoT project planning, including time, cost and ROI estimation.
Go for consulting

IoT solution implementation

  • Eliciting technical requirements for an IoT solution.
  • Designing the solution architecture.
  • UI and UX design of user apps.
  • Modeling a data processing environment for heterogeneous IoT data.
  • Helping choose, configure, connect smart devices.
  • End-to-end IoT solution development including building of control apps and user apps.
  • Integration of the IoT solution with third-party software.
  • Quality assurance and security testing.
  • User training.
  • After-launch support and evolution.
Go for development