Linkitsoft builds AI MVP apps that help businesses test ideas fast and gather real user feedback. As a leading AI MVP app development company, we focus on creating simple and working versions that show key features, helping you validate concepts and improve before a full launch.
Linkitsoft builds MVP apps to help businesses test ideas, try features, and reduce risks before full-scale development. We handle every step to create an MVP that works for your needs.
Our team works with you to define your AI MVP app idea, target users, and main goals. This step sets the foundation for key features and testing.
We create a quick, working version of your AI MVP app. You can see how it works and gather early feedback. This helps improve the app before full development.
The main functions of your AI MVP app, like chat, suggestions, or automation, are built first. We focus on the essential features to clearly test the concept.
We connect your AI MVP app to databases, tools, and other systems. This makes sure it works smoothly and performs real tasks.
We set up cloud hosting and infrastructure. Your AI MVP app can run reliably and handle multiple users during testing.
We design simple and easy-to-use screens. Users can navigate the app smoothly and test its features without confusion.
We monitor how the AI MVP app works and collect user feedback. This helps identify what works, what needs fixing, and which features to improve next.
A small version of your AI MVP app is released to real users. Feedback from this pilot helps validate the idea, measure results, and reduce risks before full development.
We track user interactions and app behavior to collect meaningful data. This helps you understand how users engage with the app, identify improvements, and guide the next development steps.
Explore real projects where our ideas, strategy, and technology deliver measurable results.
Mobile App
Foodosti is a food delivery startup in Kentucky that wanted to give restaurants and customers an inexpensive and smarter alternative to expensive apps like DoorDash and Uber Eats. We helped turn their idea into a real app with a driver bidding system, where riders set their own delivery prices. The app launched in Lexington, Kentucky, and quickly became a hit with both customers and delivery drivers.
Mobile App
Fitalike, a fitness and wellness platform, struggled with poor usability, high subscription costs, and limited reach due to the absence of an Android app. Linkitsoft transformed the idea into a complete cross-platform fitness solution by upgrading the iOS app, building a full-featured Android app, and developing a powerful admin panel. The app made it easy for users to discover certified trainers, chat in real time, make secure payments, and manage subscriptions seamlessly. With smarter onboarding and centralized admin control, Fitalike improved user engagement, built trust between trainers and clients, and created a reliable fitness experience across devices.
Kiosk App
Mr. Cod, a popular UK-based restaurant known for its fish and chips, faced challenges managing high customer volume and daily tax tracking. Linkitsoft introduced Order Wave, a self-service kiosk that simplified ordering, enabled custom order saving via phone login, and automated tax collection using a Black Box system. This solution streamlined operations, reduced order errors, and provided efficient daily reporting, significantly improving both customer experience and backend management.
Vending App
BVEND, a school-focused vending operator, wanted to create a secure and cashless snacking experience for students. Traditional cash systems were inconvenient and hard to manage for both kids and parents. Linkitsoft built a custom web-based platform that used student ID cards for payments, enabled parental top-ups, and added gamified features for engagement. The system simplified management, boosted user satisfaction, and made vending fun, safe, and efficient for schools.
Vending App
Donut Trap, a small donut and coffee business, faced challenges managing inventory, payments, and custom orders manually. Linkitsoft developed a responsive mobile app that automated inventory updates, streamlined payments, and enabled customers to place customized orders easily. The app also offered real-time tracking and remote management, reducing manual work and errors. With automation and a smooth digital experience, Donut Trap boosted efficiency and customer satisfaction while saving valuable time.
Mobile App
JTI, a tourism initiative in Malaysia, faced challenges as travelers struggled with scattered apps for booking, navigation, and recommendations. Linkitsoft developed a centralized mobile app that unified hotel bookings, attractions, transport, and personalized suggestions in one platform. The app also promoted local businesses through in-app advertising. This solution simplified trip planning, improved user experience, and boosted tourism engagement across Johor Bahru, making travel more connected and enjoyable.
Vending App
UvendTech, a Malaysian vending operator, struggled with pre-installed software that lacked local payment support, backend integration, and flexibility. Linkitsoft developed a custom vending platform tailored for Malaysia, adding e-wallet payments, Malay language support, and real-time data integration. A centralized dashboard enabled remote management and brand customization. This transformed UvendTech’s machines into a fully localized, scalable, and efficient system that improved operations and enhanced customer convenience nationwide.
Vending Software
Showdrop, a marketing tech company, wanted to modernize product sampling in grocery stores. Traditional sampling methods were inefficient and hard to measure. Linkitsoft developed custom vending software with QR-based access, offline functionality, and real-time temperature monitoring. The branded interface made sampling interactive and engaging, while backend tracking ensured smooth operations. This solution transformed sampling into a smart, data-driven experience that enhanced brand visibility and customer engagement in retail spaces.
Kiosk App
PrayOS, a faith-based organization, wanted to help people share prayers and support their community in a secure, modern way. Traditional methods lacked accessibility and personalization. Linkitsoft developed a kiosk system where users can submit prayers, make donations, and receive guidance from religious leaders. Built on AWS for reliability and security, the solution strengthened community connections, improved transparency, and made spiritual engagement more accessible and meaningful for everyone.
Kiosk App
Photobrick, a personalized gift brand, wanted to make memory preservation more interactive and lasting. Traditional photo printing lacked engagement and customization. Linkitsoft developed an interactive kiosk system that lets users upload photos via a QR-linked web app, preview designs in real time, and complete secure contactless payments. This seamless experience enhanced customer engagement, streamlined operations, and helped Photobrick deliver a creative, modern, and personalized way to capture meaningful memories.
Web App
COLBR, a digital investment platform, faced challenges with complex onboarding and scattered client-advisor communication. Linkitsoft built a secure web platform with dedicated portals for customers and advisors, enabling easy document uploads, validation, meeting scheduling, and progress tracking. By centralizing everything into one streamlined system, the solution reduced delays, eliminated manual errors, and made financial management simpler, faster, and more transparent for both customers and advisors.
Mobile App
Noomee, an Italian e-commerce startup, wanted to simplify online shopping as users faced slow checkouts and poor product search experiences. Linkitsoft built a cross-platform mobile app with a secure, minimal-step payment process and an advanced image-based search feature. With organized product categories and a clean interface, the app made shopping faster, safer, and more intuitive, enhancing user satisfaction and confidence in online purchasing.
Kiosk App
Jood, a digital donation platform in Saudi Arabia, wanted to make charitable giving easier, faster, and more transparent. Donors previously faced difficulty tracking contributions and trusting where funds went. Linkitsoft built a bilingual, secure kiosk and web system with real-time tracking, encrypted payments, and franchise management. The platform unified charities under one network, ensured instant transfers, and transformed donations into a seamless, trustworthy, and accessible experience for everyone.
Kiosk App
Texas Haunters Convention needed a faster way to handle event check-ins as manual badge printing caused long lines and delays. Linkitsoft developed a custom self-service kiosk connected to the registration database, allowing attendees to scan QR codes or search by email to print badges instantly. The system improved efficiency, reduced staff workload, and delivered a smooth, professional, and hassle-free check-in experience for thousands of event participants.
Vending Software
Vendy, a smart vending software company, faced challenges with outdated cash-based machines that lacked safety and real-time management. Linkitsoft developed a contactless vending platform that allowed users to scan QR codes, browse products, and pay digitally. The solution included real-time inventory tracking, secure payments, and a centralized dashboard for retailers. This innovation modernized vending operations, improved hygiene, and delivered a faster, more reliable shopping experience for users.
Kiosk Software
Xavier College in Australia needed a faster and more reliable system for recording student late arrivals as manual check-ins were slow and error-prone. Linkitsoft developed a self-service attendance kiosk integrated with Microsoft Dynamics CRM. Students can scan their ID, take a photo for verification, and print a confirmation slip instantly. The solution automated recordkeeping, reduced administrative workload, and improved accuracy, creating a seamless and efficient check-in process.
Unified System
Beauty Lab, a modern salon, struggled with a disorganized booking and payment process that frustrated clients and caused scheduling delays. Linkitsoft developed a unified digital system integrating online booking, a self-check-in kiosk, and a specialist app. The platform enabled real time scheduling, NFC-enabled payments, and seamless synchronization across all devices. This solution simplified operations, improved customer satisfaction, and turned salon management into a smooth, modern, and efficient experience.
Mobile App
Johor Environmental System is a sustainability-focused mobile app developed by Linkitsoft. It empowers the Johorians in their eco-conscious journey. The client’s complaint? Environmental problems. So we built a platform that’s packed with tips, resources, and tools. It helps users reduce waste, save energy, and discover eco-friendly products. We made a solution designed to promote sustainable living while supporting local green initiatives.
Our team uses modern and reliable tools to build AI MVP apps that are fast, scalable, and easy to maintain. Each technology is chosen to help your app work well, handle real data, and grow with your business.
Used to build and train models that make predictions.
A flexible tool to build and test models.
Helps the app recognize patterns and make decisions.
Makes building models faster and easier.
Analyzes data, predicts user behavior.
Improves predictions, analyzes user actions.
Helps create smart and efficient models for the app.
Helps the app understand and generate natural text.
Understands the meaning of words in context.
Processes text and generates responses.
Helps the app process and understand written language.
Provides tools for text understanding and generation.
Summarizes and converts text for app features.
Analyzes text data quickly and efficiently.
Helps the app recognize objects in images.
Detects and identifies objects in real time.
Helps the app understand faces and shapes.
Analyzes images and spots patterns or objects.
Tracks objects or gestures in videos.
Detects objects and patterns efficiently.
Speeds up building models for visual recognition.
Organizes data so the app can use it easily.
Processes large datasets quickly.
Stores and processes huge amounts of data.
Handles big data in smaller, faster chunks.
Manages large datasets efficiently.
Automates data workflows and tasks.
Runs and monitors data pipelines easily.
Finds the best settings for models automatically.
Checks multiple settings to pick the best one.
Finds the optimal parameters for models.
Helps tune models for better performance.
Tests and improves model performance.
Safely host the application and keep it running smoothly.
Stores data and runs the application efficiently.
Supports application scaling and manages hundreds of users.
Provides reliable cloud infrastructure.
Keeps data of apps secure and scalable.
Runs the application in sandboxed environments for safety.
Manages many instances of an application and scales well.
Helps in deploying models and making predictions by being efficient.
Tracks model versions and performance.
Makes models run faster in production.
Enables models to work on various platforms.
Handles real-time data streams.
Stores and manages large structured datasets.
It can handle unstructured data without much hassle.
Stores data that grows fast and spreads across servers.
Provides fast access to frequently used data.
Helps search and analyze data instantly.
We follow a structured process to build MVP apps that test ideas quickly, gather feedback, and grow with your business.
Linkitsoft team starts by understanding your business goals and the problem the AI MVP app should solve. We research the market, study competitors, and set clear targets for testing the AI MVP app with real users.
We gather and organize the data your AI MVP app will use. The data is cleaned and structured so the AI MVP app can perform well and give accurate results during testing.
We choose the right approach and features for your AI MVP app. Important functions and predictive elements are defined to make the AI MVP app useful and testable.
Our team builds the AI MVP application with the essential features first. We follow an iterative approach, developing, testing, and improving continuously to ensure the AI MVP app works smoothly.
The AI MVP app is connected to your systems, websites, or tools. It is deployed so real users can test it, providing valuable feedback for improvement.
We monitor how the AI MVP app performs and collect user feedback. Our team fixes issues, improves features, and makes sure that the app stays reliable as it grows and scales.
We have gained a long list of contented clients by delivering top-notch IT solutions.
Our approach focuses on creating a working version with the core AI-powered features that matter most. This lets you gather real user feedback, validate concepts, and improve before a full launch. Each feature is designed to make your AI MVP app useful, scalable, and ready to grow with your business.
We start by understanding your business goals, target audience, and desired outcomes. This ensures your MVP app is built to support your strategy and long-term plans.
We focus on developing only the core features needed to solve key user problems. Extra functionality is added later, helping you test ideas faster and save time.
The app is built on a flexible structure that can grow with your business. Modular design and cloud-ready infrastructure make adding new features or updates easy.
We use real user data to guide development and test functionality. This ensures your MVP app provides meaningful results and insights for improvement.
The MVP is tested with real users from the beginning. Feedback is collected and used to refine features, improve usability, and validate the product concept.
We use up-to-date tools and technologies for faster development and better performance. This keeps your MVP app reliable, cost-effective, and ready to scale.
We thrive on accelerating the path to disruption and implementing agile methodologies to design, build, deliver, and scale digital solutions. Our future-proof, growth-centric tech has earned us notable awards and recognition across industries and regions.
We build AI MVP apps that help businesses test smart ideas quickly, collect feedback, and improve products before a full launch. Our focus is on creating apps that are practical and ready to grow with your needs.
Our team crafts AI MVP apps that work fast and handle tasks efficiently. Users get smooth interactions, and the app performs reliably under different conditions.
We build AI MVP apps that can grow with your business. The apps can handle more users, larger datasets, and new features as your needs expand.
We use real user data to guide development and testing. This ensures the app delivers useful results and can be improved before a full launch.
Building an AI MVP app usually costs between $30,000-$80,000. The exact cost depends on how complex the app is, the technologies used, and the experience of the development team. At Linkitsoft, our team works with you to plan an AI MVP app that fits your goals and budget.
Developing an AI MVP app usually takes 3 to 6 months, depending on the app’s complexity, the data involved, and the technology used. A basic MVP with core features can often be ready in 4 to 8 weeks with an experienced team. More complex apps with advanced models or large data needs can take 4 to 6 months or longer.
Almost any industry can use an AI MVP app. Common examples include healthcare, finance, retail, logistics, education, and customer service. Any business that wants to test AI features safely before a full launch can benefit.
Linkitsoft builds AI MVP apps using a flexible and modular architecture. This means the application can handle more users, larger datasets, and extra features as your business grows. We also use cloud systems and efficient coding practices so the app stays reliable and fast even when it expands.
An AI MVP application lets businesses test their ideas quickly without investing capital on a full product. It collects real user feedback, highlights what works, and shows what needs improvement. This saves time, reduces risk, and guides better decisions.
We focus on making apps simple, practical, and easy to test. Our team combines experience, real-world feedback, and step-by-step guidance to make sure your MVP app solves real problems.
We track how users interact with the app, measure key results, and test all core features. Feedback from these tests helps improve the app before scaling it further.
We monitor the app, fix issues, update features, and make improvements based on user behavior. Our goal is to keep the app working reliably as your business grows.
Connect with us and discover how our solutions can drive real results for your business.
