AI-based mobile apps are becoming the smarter way to serve business purposes and boost revenue. Personalized user experiences, security, effective design, feature-richness, and performance are the key elements of a successful app. And that’s where AI comes into play. AI has proven extremely useful in mobile app development.
InData Labs can turn your idea into reality. Let our team create an app that climbs the download charts and brings the highest business revenue.
The process of AI mobile software development involves various stages. Each of them is important — by skipping any one of them, a powerful solution cannot be built.
Machine learning, deep learning, and NLP are the three major technologies to implement artificial intelligence into mobile apps. They interact, reason, learn and recommend.
Get the most out of AI to predict and interpret user behavior, preferences and buying intentions. Improve ROI by identifying user interactions within your app, offering customized recommendations and predicting their next moves.
Empower your app with a personalized engine that prevents the overload of irrelevant information and curates only the type of content the user is interested in. By infusing personalization into your AI mobile app content, you save yourself an irreplaceable position in the world of apps and drive a great wellspring of income.
If you want an app that scales, make a shift from text search to visual search. It’s fast, convenient, and saves plenty of time. Machine learning eases the pain of visual searches in your mobile app. ML technology learns from your clients’ queries and provides them with up-to-date search results that best match their needs.
Integrating AI visual search enables you to focus on the user’s intent and encourage faster and more accurate search results.
From healthcare and ecommerce to banking and entertainment, image recognition has revolutionized them all. Use image recognition to identify millions of products such as books, household items, groceries and so on. Adapt image recognition to effectively examine patients and diagnose diseases, detect counterfeit goods and battle against piracy.
Consolidate facial recognition technology to create an app that keeps your children safe online and makes sure they aren’t exposed to inappropriate content or unsuitable ads.
Reduce man-hours by deploying real-time, on-premise video analysis. Benefit from video analytics monitoring crowd behavior and preventing outbreaks of violence. Using the vast potential of object detection and pose estimation in surveillance systems, you save money for your business and ensure the highest level of security.
Leverage artificial intelligence to derive valuable insights into your users so you can better tailor your services to their needs. Use this information to promote your app and increase your profit margins.
Save time with automated data extraction from any scanned document or image and convert them into text.
The client is a scientific and business-oriented organization which turned to us for an effective solution to fight against counterfeits and privacy.
The key task our team faced at the PoC stage was to create a software solution for recognizing and verifying marks applied on top of QR codes.
The outcome of the work done at the PoC stage was an Android-based application to authenticate QR codes and immediately detect counterfeits.
The client is a startup that works in the niche market of security printing, and delivers proprietary technology.
The client was looking for a reliable provider of OCR software development services to tailor a solution for Android phones to scan and recognize printed marks.
Our team of talented data scientists successfully built and delivered automated data capture software to augment the client’s existing solution with AI.
Need a powerful deep learning mobile app to crush the competition in the app industry?