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.
Manufacturing
- Smart factory.
- Inventory tracking.
- Machine monitoring.
- Equipment monitoring.
- Equipment management.
- Overall Equipment Effectiveness tracking.
- Condition monitoring.
- Employee health and safety monitoring.
- Product quality management.
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).
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.
Energy
- Home/enterprise energy management.
- Energy consumption analytics.
- Energy forecasting.
- Asset management.
- Energy billing optimization.
- Utility communication.
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.
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.
Construction
- Equipment and vehicle location tracking.
- Real-time monitoring of construction equipment data and condition.
- Employee health and safety tracking via wearables.
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.
Supply chain management
- Monitoring of inventory levels.
- Automated alerting on low stock.
- Warehouse climate control.
- Robotic order fulfilment.
- Transportation climate control.
Real-time asset tracking
- Asset location and movement tracking (both indoors and outdoors) with interactive maps and geofencing.
- Asset tracking analytics and reporting.
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.
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.
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.
Smart homes
- Indoor conditions monitoring.
- Automated control over energy consumption.
- Video surveillance via cameras and motion detectors.
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 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.
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Technologies We Use
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.
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.
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.
By using a lightweight Vue framework, ScienceSoft creates high-performant apps with real-time rendering.
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.
Data visualization
Practice
7 years
ScienceSoft sets up Power BI to process data from any source and report on data findings in a user-friendly format.
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.
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.
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