IoT App Development.
Prototype testing
Data analytics
Turn-key software development
IoT Solution composition stages
IoT Solution planning
- Feasibility study
- Data security planning
- Planning of data collection automation
- Hardware requirements
- IoT solution prototyping
IoT device selection and network setup
- Selection of a suitable IoT device
- Connecting IoT devices to network
- Hardware behavior monitoring
- Hardware prototype spreading across the team
Data processing and computing setup
- Server infrastructure creation
- Set up hardware data analytic tools
- Group IoT devices through an edge device
- Create a data processing environment
- Data Normalization process
- ML integration for pattern search
Development of IoT data visualization apps
- Web/mobile report interfaces creation
- Custom reports and dashboards for different app roles
- Choice of visualization techniques based on product and marketing needs
Development of remote control apps
- Design user journey
- Design mobile or web-based remote-control app
- Remote control app configuration
- App integration with an IoT device
- User App release and Revenue generation start
QA and testing
- Establishing QA process
- Test plan creation
- Autotests for critical points (e.g. Connection, Registration, Payments)
- Continuous manual and regression testing, unit testing
- Code reviews and code documentation
IoT app management and support
- Work with user feedback – identifying usage issues and fixing
- Assessment of DB, server, and network architecture, continuous improvements on app reliability
- Review of changing compliance policies and adjusting to it.
- Adding new features upon market request
Iterative improvements and Scaling
- Defining the most fragile parts of the system and adding there extra capabilities or backups
- Running A/B market tests
- Risk diversifying practices for explosive growth scenario
- Newer hardware versions
Key things to consider while designing the business flow are data collection, storage, and analysis approaches, and focus on the proper industrial design.
Sensor types in IoT apps
IoT app general architecture scheme
How can RedCat build it?
From Scratch
Migration
Enhancing
Our Clients testimonials
The app met the expectations of the internal team, increasing customer loyalty and attracting new customers. RedCat establishes a smooth workflow through effective communication. The team is professional, hard-working, and easy to work with. For sure I would strongly recommend them
Michael Kibenko
CTO at BioNexus
The company appreciates the RedCat team’s transparency and predictability level. The team is good at providing explanations for each of the decisions they propose to the company. Our partnership is 100% business-concentrated. Each thought and word is aimed at finding a wise and sagacious solution.
Ztiki Fuchs
CEO at Excedo Ventures
RedCat’s efforts were met with positive acclaim by internal and external stakeholders. Their work has attracted new customers and met all their clients’ expectations. Helpful and coordinated, customers can expect an efficient team that delivers quality work at a reasonable price point
Tomas Ambroza
Founder of Renthopper
Thanks to RedCat’s contributions, the client was able to execute a successful provider transition 500% faster than the average speed. The team showcased their diligence in all engineering projects and adapted seamlessly to the client’s internal project management. They were great to work with.
Ivan Shornikov
CEO at Raxel Telematics
Hire RedCat as IoT app development company
Retail
NW
Discounted food radar app
A mobile app that screens all discounts for food from food sellers to prevent food waste.
Core tech:
Under NDA
Sports
UK
Holistic health monitoring app
A mobile app integrated with a custom smart fitness tracker for holistic health management.
Core tech:
Under NDA
Sports
DE
Home gym app
A mobile app collecting data from a bunch of sports equipment devices, and transforming it into a personalized training plan.
Core tech:
Technology stack
Questions You may have
RedCat:
The cost of developing an IoT app varies widely depending on several factors such as the complexity of the app, the number of devices it needs to integrate with, and the specific functionalities required. At RedCat, a basic IoT application might start from around $50,000, while more complex projects involving advanced features like AI integration, large-scale device connectivity, and extensive data processing could go upwards of $100,000.
To give a specific example, a straightforward IoT application for fitness might cost around $40,000 to $60,000, considering nice UI/UX, data collection for future and risk buffer for an IoT prototype integration process.
However, an industrial IoT application involving complex machine learning algorithms for predictive maintenance and large-scale sensor networks could cost significantly more, given the increased complexity and the need for robust security measures. Those project are literally 1+ year, with a team of minimum 3-5 full-time people, which results in $150 000+ per year. Each project is evaluated on its own requirements, and we provide a detailed cost breakdown after understanding the client’s specific needs and objectives.
RedCat:
IoT, or the Internet of Things, refers to the network of physical objects embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the Internet.
At RedCat, we specialize in IoT app development, focusing on creating applications that enable seamless interaction and data exchange between these interconnected devices. For instance, an IoT application could allow users to remotely control smart home appliances or gather real-time data from industrial sensors. But most of our portfolio are fitness and health devices, and some driver’s behavior tracking devices, or size measurement tools.
The advantages of IoT are numerous and impactful. It enables automation and control, providing users with the ability to remotely monitor and manage their devices. This leads to increased efficiency and convenience, as seen in smart homes or smart city solutions. IoT also facilitates better data collection and analytics, allowing businesses to gain insights into user behavior, improve operational efficiency, and make data-driven decisions. For example, an IoT solution in agriculture can monitor soil moisture and optimize irrigation, leading to better crop yields.
RedCat:
Nope and nope.
RedCat:
Yes, and it seems you know what you plan to do with this data. If we are talking about some ML integration – there are a couple of proven solutions for that. If you plan to export or sell this data – let us know, then it’s another approach. If it’s a measurement for measurement, or you haven’t decided yet – welcome to our business analysis specialist, he will help to create a data structure and business rules in a most sagacious way.
RedCat:
It’s a headache, but possible. And also, it doubles the time for this integration
Latest in our blog
Modern Interpreting: Types, Costs, and Software
Interpreting,
