Our Mobile App Development Expertise

The answer depends less on BLE itself and more on the device protocol and reliability requirements. We first understand what the hardware needs to send and receive, how the connection is established, what happens when it drops, and how the data needs to be secured.

The mobile application is then designed around those constraints rather than treating BLE as just another API. This can include device discovery, pairing, data exchange, reconnection, error recovery and encrypted communication where required.

We start with the hardware, not the app. The device documentation, communication protocol, SDK availability, supported operating systems and expected data flow determine the integration approach.

From there, we define the communication layer, error handling, security and application workflow. This helps identify technical limitations before they become development problems.

An offline requirement changes the architecture considerably. Instead of assuming that the server is always available, essential operations need to work locally first.

Typically, this means local storage, caching, queued transactions and synchronization when connectivity returns. The important part is deciding what can safely operate offline and how conflicting changes should be handled later.

This approach is particularly relevant to field and logistics applications where connectivity cannot be taken for granted.

GPS coordinates are only one part of the problem. A useful tracking solution also has to consider accuracy, update frequency, battery consumption, background execution, connectivity and the business meaning of a location event.

For example, a logistics application may care more about entering a delivery zone or reaching a geofence than continuously transmitting a vehicle's coordinates.

The architecture should therefore be driven by the business event, not simply by collecting GPS points.

There isn't a universal winner.

Flutter is attractive when a project benefits from a shared codebase and consistent cross-platform experience. Native development becomes more compelling when the application depends heavily on platform-specific capabilities or specialised hardware integration.

For projects involving BLE, NFC, USB, background services or other native capabilities, we evaluate the requirements first and decide where cross-platform code makes sense and where native code is justified.

Flutter can handle the application layer well, but hardware integration sometimes requires going beyond Dart.

When platform-specific APIs are required, the architecture can combine Flutter with native Android or iOS components. The key is to keep the hardware-specific complexity isolated while allowing the majority of the product experience to remain cross-platform.

This approach is particularly useful when the application needs both rapid cross-platform development and deep device interaction.

These projects are really distributed systems disguised as mobile apps.

The architecture typically has several layers:

Each layer needs clearly defined responsibilities and failure handling. For example, the mobile app may need to temporarily store hardware-generated data when the cloud is unavailable and synchronize it later.

Thinking about the complete data flow early prevents the mobile application from becoming the bottleneck between the device and the backend.

Healthcare applications require more than a secure login screen.

The architecture needs to consider where sensitive information is collected, where it is stored, how it moves between systems, who can access it and what needs to be logged.

Requirements such as HIPAA should therefore influence architecture, infrastructure, APIs and data handling from the beginning rather than being treated as a compliance checklist at the end.

The interesting part isn't simply reading health data. It is deciding which data is relevant, what permissions are required, how it should be interpreted and how it should move through the rest of the application.

The integration strategy depends heavily on the type of health data and the intended use of that data.

AI doesn't automatically improve an application just because it has been added to it.

We first look for a workflow where intelligence can remove manual effort, improve classification, extract information, assist users or support a decision. The AI component is then placed inside that workflow with appropriate consideration for accuracy, latency, cost, privacy and fallback behaviour.

The objective is therefore not “add AI”, but make a useful part of the product smarter.

OCR is rarely just a matter of sending an image to an OCR engine.

Real-world images may have perspective distortion, poor lighting, inconsistent layouts, handwriting or multiple document formats. The solution may therefore require image preprocessing, perspective correction, recognition and validation before the extracted information becomes usable.

The right architecture depends on what information needs to be extracted and how accurate the final business process needs to be.

A rewrite is not automatically the answer.

We first look at the existing architecture, dependencies, technical debt, performance problems and areas that are actually causing friction. In many cases, refactoring or modularising specific parts can deliver more value than starting again.

A rebuild makes sense when the existing foundation has become more expensive to evolve than replace.

We look at more than whether an API technically works.

The important questions are whether its data model, authentication, performance, documentation, error handling and scalability fit the new application's requirements.

Sometimes reusing an existing API is the fastest and safest option. In other cases, building a dedicated service or API layer provides a cleaner long-term architecture.

Before writing the first line of integration code, we would want to understand:

• What protocol does the hardware expose?
• Is the protocol documented?
• Is an SDK available?
• Which platforms are supported?
• What happens when communication fails?
• Does the device need authentication or encryption?
• Does the app need to work offline?
• What happens when the hardware or phone is upgraded?

These questions often determine the architecture more than the choice of mobile framework.