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Internet of things software development

Internet of things (IoT) software development focuses on creating an IoT infrastructure consisting of software systems, sensor-enabled hardware components, and cloud data centers to collect and process information and deliver real-time insights into company operations.

With 25 years of experience in IT consulting and software development, we help both startups and large companies design fault-tolerant and secure IoT architectures according to their specific needs and build robust IoT solutions to automate and streamline business operations.

IoT development services we offer

Odoo ERP Faqs

IoT consulting

IoT app development

Backend engineering for IoT

IoT integration

IoT data analytics

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Why us?

25+ years providing IT consulting and software development services

Featured in E R&D Services 2022 report by Zinnov Zones

1600+ successfully completed projects

800+ satisfied customers worldwide

Long-standing Microsoft and AWS partners

Strict compliance with FDA, HIPAA, GDPR, and other standards

Client spotlight

For over two decades, we has consistently delivered successful custom medical software solutions, helping healthcare organizations reach new heights.

IoT development for your industry

We build robust industrial IoT systems, enabling factories to gain absolute control over each production phase, manage on-floor equipment, and improve safety and work conditions for staff.

  • Industrial robots
  • Connected production lines
  • Worker wearables
  • Digital twins
  • Environment sensors
Manufacturing

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Why us?

The success of a company’s IoT initiative largely depends on a properly designed IoT architecture. We carefully study your business and technical needs and requirements to develop a bespoke scalable architecture for your IoT project. Here is a sample IoT architecture representing the main modules and elements of the IoT ecosystem.

Scheme title: Generalized 5 Layer Model of an End-to-End IoT Solution - with a focus on software components Data source: IoT Analytics — Guide to IoT Solution Development

Microsoft solution stack examplesGeneral and Microsoft Partner examples4ApplicationsVisualization

Office, Power BIBusiness system integration

Dynamics 365, BizTalk, AzureLogic AppsDevelopment environment

Visual Studio, Xamarin3Cloud ServicesStorage / database

Azure SQL, AzureDocumentDB, AzureBlobDevicemanagement

Azure IoT HubEvent processing &basic analytics

Azure StreamAnalytics, AzureHDInsight Spark/StormAdvanced analytics

Azure MachineLearning, CortanaIntelligence Suite2CommunicationConnectivity network

AT&T (M2M), SigFox (LPWAN)1DeviceMPU

Intel Atom / Core /XeonOperating system

Windows 10 IoT (incl.Azure IoT Gateway SDK)Hardware

e.g., smart vendingmachineSmart device¹MCU

Texas InstrumentsMSP430Firmware & Hardware

e.g., motion sensorSimple device³MPU

Intel Atom / Core /XeonOperating system

Windows 10 IoTHardware

e.g., edge gatewayEdge gateway²Security5Application identity & accessmanagement

Active Directory, Identity ManagerPrivacy management, data at rest

Azure Disk Encryption, Key Vault<SDLE2E encryption of data &communication

Symantec SSL, TLS, X.509 certificatesPhysical protection, firmwareattestation

Intel TPM,Device Guard, Secure BootIdentity & access mgmt. ishighly relevant in the Applicationlayer, but also applicable on all otherlayersNote:

1  Smart Device: Enables edge analytics, time-sensitive decisions & local compute. Maximizes security, manageability, interoperability, solutions reliability and reduces bandwidth costs. In many cases, cloud enabled smart devices are equipped with a natural user interface. Note: MPU = Microprocessor.

2  Edge Gateway: May also be classed as a Smart Device.

3  Simple Device: Generates data, performs instant actions & transmits data. Typically has constrained resources, low hardware costs, basic connectivity, basic security/identity, and no/light manageability. Note: MCU = Microcontroller.

IoT development roadmap

We perform the full scope of services necessary for successful IoT software adoption, ensuring the solution’s scalability and secure data management, be it on-premises or cloud-based.

1

Discovery phase

First, we dive into your industry specifics and business objectives to elicit the requirements for future IoT software. We then draw up a suitable IoT solution architecture and an elaborate IoT implementation strategy based on your unique needs.

2

Planning

Next, we carefully plan the whole IoT development journey. We choose the optimal tech stack and a suitable IoT platform, outline development team composition and schedule realistic timelines for each development stage to avoid project scope creep. 

3

Prototype design

Our IoT experts create a prototype or an MVP of the IoT solution to gather early feedback, which can be used to validate the product’s concept, design, and functionality at early project stages.

4

Development

We create the source code for the IoT solution according to the system requirements and chosen architecture. Here, we focus on developing an IoT platform, data storage, processing, analytics mechanisms, and user interface.

5

Integration & testing

At this stage, we integrate the developed IoT solution with the company’s existing infrastructure and third-party systems and test the solution for compliance with functional, performance, and security requirements.

6

Launch

After validating the solution, we deploy the system in the selected environment and ensure it works as intended.

7

Support

We provide continuous maintenance and support of the developed IoT solution, keeping it operational and up-to-date.

Tech stack for IoT development

To build stable and reliable software, our engineers rely on tried-and-tested IoT technologies and are proficient in third-party IoT platform integrations and microcontroller-based boards. As a leading IoT software development company, we continuously runs research and development activities in the IoT field to expand our proficiency in emerging connectivity trends.

IoT prototyping

IoT platforms

Backend programming languages

Mobile app development

Communication protocols

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Key considerations for IoT application development

Here’s a list of aspects to emphasize during the IoT development project to ensure its successful adoption.

Security

IoT ecosystems with multiple end-point devices significantly expand the organization's attack surface, leaving many unprotected points of access for attackers. Therefore, IoT adopters should make the security aspect their top priority from the very start by adopting a security-by-design approach. They can also hire security experts to ensure the safety of each layer of the future IoT solution.

Interoperability

Interoperability is a critical factor influencing smooth IoT system functioning. Thus, during IoT solution development, we suggest focusing on correct protocol utilization and translation at the physical (Bluetooth, WiFi, cellular, LPWAN, or Ethernet connection), networking (IPv4, IPv6, Modbus, Profibus or open protocol OPC-UA), and application (MQTT, AMQP, CoAP, Restful HTML, DDS protocols) layers.

Scalability

A scalable IoT system should handle the growing number of IoT devices and increasing amounts of data while ensuring real-time data processing. We recommend building IoT systems with scalability in mind, employing cloud, edge, and fog computing, applying microservices architecture and data compression techniques, and utilizing scalable databases and data processing frameworks.

Data velocity

The value of an IoT product lies in its ability to process and analyze collected data and deliver data-driven insights. To ensure that IoT systems can handle large data volumes at high speeds, we advise companies, apart from switching to cloud computing, to adopt edge computing capabilities and integrate machine learning and artificial intelligence data processing tools.

Feasible timeline

It’s common for companies developing an IoT solution to discover at some point that they’ve seriously underestimated the project’s timelines. The reasons leading to severe time creep can be business-related or technical, and to address them, we recommend planning for contingencies in case of a project hold-up and partnering with vendors with experience in business cases similar to yours.

Organizational & cultural change

Businesses often neglect the adoption of suitable change management policies addressing IoT implementation, leaving their workforce frustrated about the recently adopted technology. We suggest involving employees across all company departments in IoT adoption early on to get all business lines on the same page and help them embrace modernized work processes.

Benefit from IoT implementation

Being one of the most impactful technological advancements in recent years, IoT delivers multiple benefits to businesses of all sizes and from all industries.

FAQs

Healthcare Faqs

How long does it take to develop an IoT solution?

What is the average cost for IoT software development?

How to choose a skilled IoT development partner?

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