Platforms
Application development across Microsoft, Apple, and Google
UCS builds and integrates applications within the ecosystems your team uses. We choose platforms around the workflow, the existing system, and the people who will operate it.
Platform ecosystems
Our experience spans business applications, mobile and desktop products, and the services supporting them. The scope below describes where we work; the functions, device coverage, and operating responsibilities are agreed for each engagement.
Microsoft
Business applications built around finance, operations, and customer workflows. Our delivery includes Dynamics 365, including Business Central, and Power Platform for applications, automation, reporting, and portals.
Azure supports application hosting and integration where the system needs it. Start with the process, its exceptions, and who owns each decision.
Explore Microsoft deliveryApple
Application delivery across iOS, iPadOS, macOS, and watchOS. We shape the work around the device and the person using it, from a brief interaction to sustained work.
Our wider application experience includes communications, business workflows, and document signing. Supported devices and functions vary by product. Agree on the right surfaces, system integrations, and release scope before building.
Explore Apple delivery
Android applications and supporting services using Google Cloud and Firebase. Our delivery experience includes calling and messaging products, business applications, and document signing.
The application and its backend have different responsibilities. Define supported devices, data access, service dependencies, and operational ownership together. Cloud services and platform coverage vary by application.
Explore Google deliveryHow we choose
Start with the workflow and the people who will own the system. Choose a platform after agreeing on what the product needs to do and how the team will operate it.
- Workflow fit: test the tasks people need to complete, including exceptions and existing integrations.
- Team and operations: weigh the skills available, maintenance work, monitoring, and support burden.
- Security and data: define access, hosting requirements, and the boundaries data must stay within.
- Lock-in and exit cost: consider what it takes to export data, replace dependencies, and move the system later.
Find the right starting point
AI model providers are covered under AI development services.
If you already use one of these platforms, start with the systems your application needs to connect to. Compare development technologies when choosing how to build it, or explore software solutions for approval, coordination, and reporting needs.
Start with the work
Bring the workflow, existing dependencies, and operating constraints. Use product engineering to connect application design, implementation, and release, or forward-deployed engineering when the work needs an embedded team close to users and systems. Plan managed support around the responsibilities that remain after launch.