AIoT Application Development Services

Timeline depends on the complexity of the design and the functionality you need. An app with basic features can typically be built in a couple of months, while one with custom, more advanced features can take a bit longer. We'll give you a clear timeline once we understand your specific requirements.

We build IoT applications for both iOS and Android, as well as using cross-platform frameworks like Flutter and React Native. Our solutions are designed to work seamlessly across devices and operating systems, ensuring wide accessibility for your users.

Cost and timeline depend on factors like the number of connected devices, the complexity of the AI models involved, whether processing happens at the edge or in the cloud, data volume, and the number of system integrations required. We often deliver these projects in phases — starting with a pilot or proof of concept, then moving to full-scale deployment once the solution is validated.

Yes. AIoT solutions are built to support geographically distributed devices and operations. They can collect, process, and analyze data from devices deployed across different regions, all while being centrally monitored and managed through cloud and edge infrastructure.

Compliance is built in from the start — through secure data handling, controlled access, and encrypted communication. Depending on your industry and region, we align the solution with relevant data protection regulations and industry standards, ensuring the AI and connected devices are used responsibly.

Our process starts with consulting and strategy to identify the right use cases and technical requirements. From there, we design the system architecture, integrate hardware and connectivity layers, build out mobile and web dashboards, implement analytics, and carry the project through testing, deployment, and ongoing monitoring.

Cost varies based on your feature requirements, system architecture, external integrations, data protection standards, and future scalability goals. Broadly, projects fall into three tiers:

• MVP-level apps — core features built to validate business value, at a lower investment.

• Mid-scale applications — advanced functionality, integrations, and scalability, at a moderate investment.

• Enterprise-grade solutions — complex architecture, high security, and deep system integrations, requiring a larger investment.

We work closely with your team to understand your goals and give you transparent, upfront pricing along with a clear delivery plan — prioritizing scalability, security, and performance so your app delivers lasting value as your business grows.

While IoT functionality is central to what we build, secure data handling and regulatory compliance matter just as much. We implement secure connectivity, encrypted data pipelines, and industry-grade monitoring practices aligned with applicable privacy guidelines. These measures ensure your IoT applications meet strong privacy standards and maintain data integrity across every connected device.

We take a layered approach to protecting user data — encrypting data both in transit and at rest, enforcing strict access controls, and following secure coding practices throughout development. Regular security reviews and monitoring help us catch potential vulnerabilities early, so your users' data stays protected at every stage of the IoT application's lifecycle.

The type of data collected depends entirely on your specific use case and application. This can range from device performance metrics and sensor readings to user interaction data and location information, depending on what your IoT solution is designed to do. We work with you to define exactly what data is necessary, avoiding unnecessary collection wherever possible to keep the app lean and privacy-conscious.

Data retention periods are typically defined based on your specific business needs and any applicable regulatory requirements for your industry and region. We help you set up retention policies that balance operational needs with privacy best practices, ensuring data isn't kept longer than necessary while still supporting the functionality your application requires.