AI Built In
Add natural-language assistants, document intelligence, computer vision, personalized experiences, recommendations, workflow automation, and other AI capabilities directly into your application.
AI App Development
Intelligent apps built around your business.
We design, build, and launch AI-enabled applications for iPhone, iPad, Apple Watch, and Android — from the first idea through App Store and Google Play deployment. StarGentic combines mobile application development with private AI, intelligent automation, and secure business integrations so your app can do more than display information. It can understand, assist, calculate, recommend, automate, and act.
Apple + Android
We develop applications for iPhone, iPad, Apple Watch, and Android and manage the path from development and testing through App Store and Google Play submission.
Your App. Your Data.
Where privacy matters, we can architect AI around private APIs, secure cloud environments, or sovereign AI infrastructure instead of sending sensitive business information into public AI tools.
How We Work
From idea to App Store.
A successful app starts long before development begins.
We define the problem, determine what the application actually needs to do, identify where AI creates meaningful value, prototype the experience, and only then move into production development.
Each phase produces something tangible that you own.
1
Define
App Discovery & Product Strategy
We turn the initial idea into a clear application plan. That includes the audience, core workflows, features, platform requirements, AI capabilities, integrations, monetization strategy, security requirements, and App Store considerations. Before development starts, everyone understands what is being built and why.
- Product requirements and feature definition
- iPhone, iPad, Apple Watch and/or Android strategy
- AI opportunity and feasibility assessment
- User journeys and application architecture
- Security and privacy requirements
- Subscription, payment or monetization planning
- App Store and Google Play deployment strategy
- Development roadmap and estimate
2
Build
Prototype & Application Development
We design the experience and turn the product plan into a working application. Depending on the project, that can include native mobile development, cross-platform development, APIs, databases, authentication, business-system integrations, AI services, analytics, notifications, subscriptions, and administrative tools. You see and test the product throughout development instead of waiting until the end.
- UX/UI design and interactive prototypes
- iPhone and iPad development
- Apple Watch development
- Android development
- AI-enabled application features
- Secure APIs and database architecture
- User authentication and account management
- Push notifications
- Subscription and in-app purchase functionality
- Third-party business integrations
- Administrative dashboards
- Analytics and usage measurement
3
Launch
Testing, Deployment & App Operations
Building the application is only part of the job. We prepare it for real users, test it across supported devices, manage beta distribution, work through store requirements, assist with submission, and support the application after launch. StarGentic is enrolled as an organization in the Apple Developer Program and maintains a verified Google Play organization developer account.
- Apple TestFlight beta distribution
- Android testing and release preparation
- App Store Connect configuration
- Google Play Console configuration
- App Store submission support
- Google Play submission support
- Store listing preparation
- Privacy and permission configuration
- Analytics and crash monitoring
- Production releases and updates
- Ongoing application maintenance
- AI model and integration updates
We don't start with AI. We start with the problem.
An app does not become better because someone adds a chatbot to it. The AI should make the application genuinely more useful — whether that means understanding natural language, summarizing information, identifying patterns, automating a workflow, analyzing an image, answering a question, or helping a user make a decision. If AI does not improve the experience, we won't force it into the product.
What We Can Build
Apps that do more than apps used to.
AI Assistants
Give users an intelligent assistant that understands the application's content, data, products, services, or workflows.
Private Business Apps
Build secure applications for employees, customers, executives, field teams, healthcare organizations, financial institutions, and other environments where information needs to remain controlled.
Computer Vision Apps
Use the camera to recognize, classify, measure, inspect, document, or interpret real-world objects and environments.
Voice-Enabled Apps
Create applications users can interact with naturally through speech, including accessibility-focused and hands-free experiences.
Intelligent Calculators & Decision Tools
Combine business rules, structured data, calculations, and AI to create applications that help users make complex decisions.
Knowledge & Training Apps
Turn internal documents, training materials, manuals, procedures, and organizational knowledge into interactive mobile experiences.
Workflow Apps
Connect mobile users to business processes, approvals, forms, databases, notifications, and automated actions.
Customer Applications
Create branded applications that deepen the relationship between your organization and its customers through personalized content, tools, services, memberships, or subscriptions.
AI Capabilities
Intelligence where it actually helps.
Depending on the application, StarGentic can incorporate:
Language & Knowledge
- Natural-language conversations
- Retrieval-Augmented Generation (RAG)
- Private organizational knowledge
- Document analysis
- AI-generated summaries
- Intelligent search
Vision & Speech
- Image recognition
- Computer vision
- Speech-to-text
- Text-to-speech
Automation & Deployment
- Recommendation engines
- Workflow automation
- Personalized experiences
- Predictive insights
- Secure AI agents
- Local and private AI models
- Cloud AI APIs when appropriate
The architecture depends on the information being processed, the level of privacy required, and what the application needs to accomplish.
Platform Development
One idea. The right platforms.
iPhone
Custom applications designed for Apple's iPhone ecosystem, including native mobile experiences, device capabilities, notifications, authentication, AI features, subscriptions, and business integrations.
iPad
Touch-first applications designed around the larger iPad interface — including education, healthcare, field operations, assessments, kiosks, enterprise workflows, and specialized business tools.
Apple Watch
Focused wearable applications for information that needs to be immediately accessible: health and wellness, alerts, communication, utilities, calculations, field workflows, accessibility, and quick interactions.
Android
Custom Android applications prepared for distribution through Google Play, including phones, tablets, and compatible Android devices.
Developer Credentials
Built for real-world deployment.
StarGentic maintains the developer infrastructure required to develop, test, manage, and distribute production mobile applications.
Apple Developer Program
StarGentic is enrolled as an organization in the Apple Developer Program, providing the development and distribution infrastructure required for applications across Apple platforms.
Google Play
StarGentic maintains a verified Google Play organization developer account for developing and distributing Android applications through Google Play.
These accounts allow us to manage the technical development and deployment process. Client applications can also be structured for publication under the client's own developer accounts when appropriate.
Have an App Idea?
Start with the problem, not the code.
You don't need a complete specification. Bring us the problem you want to solve, the people who need to use the application, and what you believe it should accomplish. We'll help determine what should be built, where AI belongs, which platforms make sense, and what it will take to get the product into users' hands.