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Revolutionize Your Apps with AI Features by Fliplet

Empower your organization with artificial intelligence, enhancing user experience and productivity in no time.

Welcome to the future of app development

At Fliplet, we believe in making AI integration accessible and beneficial for organizations of all sizes. With our advanced AI features, you can seamlessly incorporate AI into your internal staff-facing and client-facing apps, enhancing their functionality and user experience. From content creation to data analysis, our AI capabilities enable content summarization, and natural language search, and provide recommendations and creative ideas. Compatible with web and native apps, Fliplet AI allows organizations to cater to diverse user preferences. Fliplet is here to guide your journey as the AI revolution takes over.


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“By incorporating AI into their apps, law firms can dramatically enhance their value proposition,” said Ian Broom, CEO of Fliplet. “Not only can they reduce response delays to common questions using their own data, but they can also increase the overall usefulness of their apps for both staff and clients.”

Unlock the benefits of AI in app development

Discover the remarkable advantages of integrating AI into your app development process with Fliplet. Drive user engagement, streamline workflows, and unlock new opportunities with the powerful benefits of AI.

Date and file access

With Fliplet’s existing data and file storage capabilities, integrating AI is a seamless process, eliminating the need for building new infrastructure or dealing with technical complexities. 

Secure and compliant

With Fliplet’s secure and ISO 27001 compliant platform, you can seamlessly integrate AI capabilities, confidently manage your data, and meet the highest standards of security.

Experienced in AI integrations

Benefit from Fliplet’s extensive experience and expertise in integrating with APIs and AI services.

Customize pre-built AI features

Enhance the functionality of your app with AI-driven capabilities such as content generation, data analysis, recommendations, and more.

Accelerate your apps with AI-powered features

Harness the power of AI to accelerate productivity, enhance user experiences, and unlock new levels of innovation in your app development journey. Discover how AI can transform your apps and take them to the next level with Fliplet’s AI-powered features.

Content Creation

 Automate your content creation, delivering fresh, engaging content within minutes.


Content Summaries

Extract key information efficiently with smart summaries, saving valuable time.



Experience fast, accurate, and intuitive search results that cater directly to user needs.

Data Analysis

Gain new insights from your data, aiding strategic decision-making.


Offer personalized suggestions for users based on their habits and preferences

Platform Flexibility

Whether it’s a web app or a native iOS and Android app, Fliplet’s AI has got you covered.

Fliplet’s AI tools

Experience the power of AI in your app today with Fliplet’s user-friendly templates designed to unleash the capabilities of AI.

AI-Driven Content Generation

Take your app to the next level with Fliplet’s AI-powered content generation feature. Seamlessly integrate AI into your forms to automatically generate customized content based on user inputs.

For example, a user can provide basic information, and AI instantly creates personalized bios tailored to their expertise and interests. Customize the generated content to meet your specific needs, whether it’s adding more detail or injecting creativity. With endless possibilities, AI-driven content generation empowers you to provide personalized experiences and streamline content creation within your app. To try this today use the ‘Sign up with Bio Generator’ screen template.

AI-Powered Content Summarization

Fliplet’s AI integration can summarize data for you. Take advantage of our powerful AI feature to generate concise summaries of content within your app. Whether it is articles from a newsfeed or some forms of structured data, AI can quickly analyze the information and provide a summarized version in seconds. Customize the AI to focus on specific aspects of the data that you’re interested in, creating a paragraph that captures the key highlights.

With AI-powered content summarization, you can enhance user understanding and make complex information more digestible and accessible within your app. To try this out for yourself use the ‘News feed with summary’ screen template.

Data Generator

The data generator tool streamlines the process of creating and populating app data & data sources. It provides users with a convenient and efficient way to generate custom datasets, populate databases, and seamlessly drop this information into formatted lists and forms for further use.


AI-Powered Chat and Search 

Our ‘Intelligent Search/Chat Configuration’ screen enable a seamless transformation of your data into both chat and search interfaces. Admins have the capability to update and ensure the relevance of search parameters in response to data changes, thereby maintaining data accuracy. While the chat screen provides app users with tailored responses specific to a chosen dataset, our AI-driven search screen, grounded in the data source and columns you configure, facilitates users in executing precise and advanced searches tailored to your app’s unique data needs.


More Fliplet AI Features are launching soon…

App/Business plan Generator

Simplify the app planning process by leveraging the power of AI. With Fliplet’s AI-driven app/business plan feature, you can provide basic app details and let AI generate a comprehensive plan that includes suggested app names, competitor research, insights into the reasons for building the app, and more. Start your app development journey on the right track with a detailed plan created effortlessly through AI assistance.

Explore the possibilities of AI in app development with our on-demand webinars

Upcoming webinar – AI to the Max: Fliplet’s latest AI features for your apps

Join us to hear about the latest development on how you can use AI to build your apps with Fliplet.

In this webinar, you will:

  • Gain an understanding of the value and potential of AI in app development​
  • Explore the AI capabilities within Fliplet’s platform

Build your first AI-powered app with Fliplet: How to start using AI within your app

Join Fliplet’s CEO Ian Broom in the captivating webinar as he explores how AI can revolutionize your app development experience. Discover the untapped value and potential of AI, and learn how to leverage Fliplet’s AI capabilities to create dynamic and intelligent apps. Watch as Ian demonstrates the seamless generation and summarization of content using AI, providing you with valuable insights and practical tips for integrating AI into your apps. 

Fliplet Summit Q2 2023: Keynote presentation

Join Ian Broom in this thought-provoking keynote as he tackles the burning questions surrounding the role of AI in app development. Gain valuable insights into whether AI will replace apps entirely, the impact on the need for no-code/low-code app builders, and the future of maintaining and updating apps.

AI for App Creation: The latest Fliplet AI features and use cases

Join Ian Broom in this insightful webinar as he explores how you can enhance and expedite app development using AI. Discover the strategies to improve your apps and unleash the power of AI to streamline your workflow. Gain valuable insights into building apps faster and learn about the latest AI features showcased through exciting demos. Stay informed about AI security and privacy updates, ensuing a secure and reliable app development process.  

Why AI is a game changer for your business

Dive into the world of AI with Ian Broom and special guest Sophie Grogan, Product Owner at Eversheds Sutherland, in this engaging webinar. Gain insight as they explore the evolution of AI, discuss the risks and benefits of incorporating AI in business, and uncover the potential of AI within Fliplet Apps.

Don’t just take our word for it

Hear from companies that have transformed their apps with AI features. Watch this case study to hear from Adam Curphey, Senior Innovation Manager at Mayer Brown, who discusses their journey with Fliplet, innovation and how AI fits in. 

Interested in learning more about AI integration and its impact on businesses?

ai app development

How AI will disrupt app development

AI increases company efficiency by roughly 40%. In this blog, we explore the impact of AI and how it will affect the world of app development. Read the full blog. 



Can I use AI to develop an app?

Yes, you can use AI to develop an app. AI can greatly enhance app functionality and user experience, enabling features such as personalized recommendations, voice recognition, image recognition, chatbots, and much more. However, developing an AI-powered app requires knowledge of AI and machine learning principles, algorithms, and relevant programming languages.

How do I create an AI mobile app?

Creating an AI mobile app involves several steps, and each requires specific knowledge in software development and AI technologies. Here’s a basic outline of the process:


  1. Define the App Idea and Objectives: First, determine what kind of AI app you want to develop and what problems it aims to solve. Consider the needs of your target audience and how AI can enhance user experience or provide unique functionalities.
  2. Research and Plan: Research the market, competitors, and latest AI trends relevant to your app idea. Formulate a plan detailing the app features, design, development process, timeline, and budget.
  3. Choose the Right AI Technologies: Depending on your app’s requirements, you might need various AI technologies such as machine learning, natural language processing (NLP), computer vision, or chatbots. You might also consider using AI platforms or APIs (like IBM Watson, Google’s ML Kit, Microsoft Azure Cognitive Services, etc.) to integrate AI functionalities without starting from scratch.
  4. Design the App: Design the user interface and experience (UI/UX) of the app. It’s important to make the app intuitive and user-friendly, even with complex AI features.
  5. Develop the App: This is where you, or your development team, start coding. If you’re using an AI API, you’d need to integrate it with your app during this stage. If you’re building the AI functionality from scratch, you’d need to code the algorithms or train the AI models.
  6. Testing: Thoroughly test the app and its AI functionalities for any bugs or issues. You also need to ensure that the AI features work effectively and provide value to the user.
  7. Deployment and Maintenance: After testing, you can launch your app. However, the work doesn’t stop here. You need to continuously monitor the app, fix any arising issues, and update it based on user feedback and evolving needs. For the AI part, this might involve retraining or fine-tuning your models to maintain their performance.


Remember, creating an AI app can be a complex process, especially if you’re new to AI and app development. You might need to collaborate with AI specialists, data scientists, or a professional app development team. Additionally, consider potential ethical implications, data privacy and security concerns related to AI apps.

How much does it cost to build an app with AI?

The cost of building an AI-based mobile application varies significantly depending on several factors:


  1. Complexity and Functionality: The more complex the AI functionality is, the higher the cost will be. A basic app with simple AI features (like a chatbot) may cost less compared to an app that uses more complex AI technology (like deep learning, image recognition, or predictive analytics).
  2. AI Model Training: The cost of training an AI model can add significantly to the budget. This process involves acquiring, cleaning, and labeling data, which can be time-consuming and expensive.
  3. Development Approach: If you’re using pre-trained AI models or APIs, the cost might be lower compared to building AI capabilities from scratch. However, subscription costs for these platforms (such as IBM Watson, Google Cloud AI, or Microsoft Azure) need to be taken into account.
  4. App Design: An app with high-quality UI/UX design may require a higher budget.
  5. Location and Team Size: The cost can also depend on where your development team is based, as rates vary across different countries. The size and expertise level of the team will also impact the overall cost.
  6. Maintenance and Updates: The initial development of the app is not the only cost. Continuous app maintenance, updates, and possibly further AI model training should also be factored into the budget.


Given these variables, it’s difficult to provide a specific cost. However, a simple AI application might start in the range of $5,000 to $20,000, while a more complex application can cost more. You can also use free AI tools that we have listed in this blog. Always consider getting an estimate from a professional app development team based on your specific needs and budget.

Can I build an AI on my own?

Yes, it is possible to build an AI system on your own, but the process can be complex and requires a fair amount of technical expertise. Here are the general steps you would follow:


  1. Learn About AI and Machine Learning: If you’re starting from scratch, you’ll need to understand the basics of AI and Machine Learning (ML). There are numerous free and paid resources available online, including courses from platforms like Coursera, edX, and Udacity.
  2. Choose a Programming Language: Most AI and ML systems are built using programming languages like Python, R, or Java. Python, in particular, is widely used because of its simplicity and the availability of numerous AI and ML libraries like TensorFlow, PyTorch, and Scikit-learn.
  3. Understand the Math Behind AI: AI and ML rely heavily on concepts from statistics, algebra, and calculus. Having a solid understanding of these areas will help you build more effective AI models.
  4. Choose the Right Tools and Frameworks: There are many tools and frameworks available that can simplify the process of building AI systems. These include TensorFlow, Keras, and PyTorch. Each has its own strengths and weaknesses, so you’ll need to choose the one that best fits your needs.
  5. Get Hands-On Experience: The best way to learn is by doing. Try working on some small projects or participating in AI competitions on platforms like Kaggle. This will give you practical experience in building AI systems.
  6. Collect and Prepare Your Data: AI systems need data to learn from. You’ll need to collect relevant data for your AI, clean it (remove irrelevant information, deal with missing values, etc.), and possibly annotate it (for supervised learning tasks).
  7. Train Your AI Model: Using your chosen programming language and framework, you’ll need to implement and train your AI model. This involves feeding your data into the model and adjusting the model’s parameters so it can learn from the data.
  8. Evaluate and Tune Your Model: Once your model is trained, you’ll need to evaluate its performance and fine-tune its parameters to improve accuracy.
  9. Deploy Your Model: The final step is deploying your model to a production environment. This can be a complex process depending on your use case and requires careful consideration of factors like scalability, security, and performance.


It’s worth noting that while it’s possible to build an AI on your own, building a sophisticated AI system can be a huge task for one person. If you’re planning to develop a complex AI, consider seeking help from others with complementary skills or consider outsourcing some or all of the work to a specialized AI development company.

Stay updated with the latest in AI and app development

Connect with us on social media or sign up for our newsletter. Need support? Reach out to our team at any time. 

Remember, as AI becomes a critical skill set for all businesses, Fliplet is committed to assisting our customers. Through example apps, comprehensive documentation, and dedicated support, we guide you in shaping AI’s interpretation of your data, avoiding bias, and delivering valuable results. 

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Creating your app has never been easier.