Industrial IoT Services and Solutions
In manufacturing IT since 1989, ScienceSoft offers IIoT consulting and implementation to create robust and secure IIoT solutions
Industrial IoT (IIoT) solutions are used to support operations like equipment monitoring and maintenance, production process planning, control, and optimization via gathering, real-time processing, and analyzing sensor-generated data.
Since 2011, ScienceSoft delivers IIoT solutions for asset tracking, machine monitoring, predictive maintenance, and more for various industries including manufacturing, energy, oil and gas, construction, and agriculture.
Industrial IoT Solutions
Industrial IoT (IIoT) is used to implement various solutions.
Smart factory
- Monitoring equipment utilization, availability, performance, etc.
- Tracking the electricity, water and gas consumption.
- Analyzing facilities’ effectiveness, production cycles, equipment condition, etc. and detecting bottlenecks.
- AI-based recommendations on improving output or OEE, scheduling maintenance, etc.
- Planning equipment modernization, replacement or disposal based on equipment data analysis.
- Factory asset tracking.
- IoT-based workforce location and safety monitoring.
Asset tracking
- Asset location and movement tracking with interactive maps and geofencing.
- Notifications about missing assets.
- Alerts about upcoming regular maintenance of an asset.
- Sensor-based environment monitoring of operating/transported/stored assets.
- Asset utilization analysis to optimize asset scheduling.
- Asset performance analysis for planning maintenance, calibration, etc.
- Pre-built and custom reports and dashboards on asset location history, high-demand assets, tag battery status, etc.
Inventory management
- Inventory planning.
- Inventory utilization and availability monitoring.
- Optimal safety stock calculation.
- Automated replenishment triggers.
- Lot and serial number tracking.
- Expiration dates and shelf life monitoring.
Machine monitoring
- Real-time tracking of machine data.
- A visualized floor plan or a location map with all machinery.
- Customizable role-based reports on machine availability, condition, performance, etc.
- Analysis of machine data, identification of abnormal patterns in machine operating.
- Predicting potential breakdowns and expected time to failure.
- Tracking the history of warranty repairs for all purchased machines.
Equipment monitoring
- Real-time equipment monitoring.
- Creation, storage and search of equipment-related documentation.
- Equipment scheduling and booking.
- Audit trail of equipment-related activities.
- Automated generation of notifications about identified equipment defects.
- Equipment maintenance and work order management.
- Equipment data reporting, analytics, and forecasting.
Equipment management
- Equipment profiles management.
- Equipment data monitoring and analysis.
- Scheduling and tracking equipment inspection and maintenance based on real-time equipment monitoring data.
- Work order creation and tracking.
- Customizable role-based reports for technicians, supervisors, etc.
- Equipment failure or overload forecasting.
- Equipment procurement planning based on equipment life cycle cost analysis and equipment criticality.
- Planning and scheduling equipment modernization, replacement or disposal based on its utilization, health, and criticality.
Overall Equipment Effectiveness tracking
- Equipment and production data monitoring.
- Identification of operational bottlenecks.
- Product quality monitoring.
- OEE and TEEP calculation.
- Scheduling equipment maintenance and tracking maintenance history.
- Creating and tracking equipment work orders.
- Spare parts inventory tracking.
- Analytics (loss, capacity, production costs, etc.).
- Equipment performance trending.
- Benchmarking.
Condition monitoring
- Machinery condition data tracking.
- Calibration planning, scheduling and tracking.
- Customizable reports and dashboards on machinery condition.
- Template-based machine condition assessment surveys.
- Root cause analysis of identified issues.
- Simulating machine behavior under various machine conditions.
- AI-based machinery maintenance recommendations.
- Calibration frequency optimization based on calibration data analysis.
Predictive maintenance
- Remote monitoring of equipment performance via sensors.
- AI-based analysis of real-time equipment data (e.g., uptime/downtime, speed, temperature) and identification of abnormal patterns.
- Predicting breakdowns and expected time to failure due to corrosion, overheating, load misalignment, and other factors.
Supply chain management
- AI-based visibility into all supply chain operations.
- Products and materials delivery tracking.
- Demand forecasting.
- AI recommendations on supply chain optimization.
- IoT-based monitoring of product condition during transportation.
- Analytics-based supplier pre-qualification (financial viability, technical capabilities, ethical business processes, etc.).
- Supplier performance analytics and ongoing compliance checks.
Industrial IoT Services
ScienceSoft offers a full range of IIoT services from consulting to support of IIoT solutions. Depending on your business needs, you can either go for end-to-end IIoT services implementation or choose one or several specific components from ScienceSoft’s offer.
Industrial IoT consulting
- Analyzing your industrial needs.
- IoT solution prototyping.
- Feasibility analysis including calculating the potential investments, ROI, and payback period.
- A detailed implementation roadmap.
- IIoT solution’s feature set.
- Planning of IIoT integration with other software.
- Planning of QA activities.
- Data security strategy planning.
- IIoT solution adoption planning.
Custom IIoT solution development
- Creating a specification of an IIoT solution.
- Modelling an IIoT solution consisting of data storage and processing environment, an analytics module, a machine learning module, data visualization apps, control apps, and IIoT devices.
- Developing and testing of an IIoT solution.
- Defining, setting up and configuring necessary IIoT devices and connecting them to your enterprise’s network.
- IIoT solution support.
IIoT hardware consulting and implementation
- Selecting appropriate IIoT devices for your solution (sensors, GPS tags, active and passive RFID tags, RFID antennas, RFID readers).
- Setting up and configuring the IIoT hardware.
IIoT solution testing
- Functional testing to check components of an IIoT solution, connectivity, etc.
- Performance testing including load testing, to validate and ensure consistent performance of IIoT data reading, writing, and retrieval.
- Integration testing to check joint functioning and data flows between devices, cloud gateways, the data storage and the analytics module, etc.
- Security testing to eliminate vulnerabilities and maintain the integrity of IIoT data.
IIoT maintenance and support
- Monitoring and performance management of an IIoT solution.
- Proactive diagnosing and fixing defects.
- Monitoring and optimization of cloud resources consumption.
- IIoT solution administration including security updates, user and access management.
Industries We Develop IIoT Solutions For
Discrete manufacturing
Process manufacturing
Energy
Oil & Gas
Construction
Agriculture
Mining
Automotive
Railway
Why Choose ScienceSoft as Your IIoT Development Partner
- In data science since 1989.
- Delivering IoT solutions since 2011.
- Microsoft partner, AWS IoT partner, Oracle partner, and other partnerships.
- 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.
- Guaranteed security of the customers’ data we access proved by the ISO 27001 certificate.
- Engaged in IoT projects for about 10 industries.
- Featured among 10 Fastest Growing IoT Companies by the Silicon Review.
Focus on collaboration
We closely collaborate with project stakeholders to specify the requirements at each layer of an Industrial IoT paradigm: connectivity, embedded software, and cloud software
Seamless integration
We ensure smooth integration of an IIoT solution with ERP, MES, SCADA, SCM, etc.
Fast delivery of an IIoT solution
We start an IIoT project in under 1 week, develop an IIoT MVP in 3-6 months (agile development), and provide regular update releases every 2-4 weeks.
Cost-efficiency
To save investments on large-scale implementation and get value faster, we start with core features and then enrich the solution functionality. Also, we leverage Microsoft Azure or AWS cloud services or open-source IoT platforms for IIoT development.
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.

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.
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