Enrich your app with Artificial Intelligence and Machine Learning solutions
Artificial intelligence revolutionised software development, providing almost unlimited possibilities. AI analyses data to unveil patterns and provide more accurate predictions. When this technology emerged, it was mainly used by enterprise decision-makers. Now it is available to every company and allows you to create more advanced applications than ever.
There are a few ways in which Artificial Intelligence and Machine Learning can improve your app. Machine Learning allows now to create such solutions as social media feeds and recommendations applied to products, videos, website content and everything your company might need. You can also process and analyse natural language (NLP), images and audio. You can forecast sales and enrich your app with better user analytics. All those possibilities allow you to predict and provide users with the right content at the right time.
These solutions need complicated algorithms to work.
We’ve already built some modules you can immediately implement into your app.
Are you ready to boost the app?
We know how to provide you with the best quality AI/ML solution. We have skilled professionals on board who constantly research pre-built modules you can use in your app. That cuts costs and speeds up the development process without losing quality.
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What you can build using AI/ML
The potential of artificial intelligence
How can Artificial Intelligence and Machine Learning affect your business?
Smart apps are revolutionizing the market. Not only provide them better user experience by serving the right content (of all kinds) at the right time but also increases the company’s revenue. Below, you can check how the AI-powered app can help you boost your business.
Using Machine Learning solutions, you can increase conversion rate and decrease operational costs at the same time. This is possible because of better customers’ understanding and offering them products and communication they need at the right time.
You can aggregate vast amounts of data into multi-dimensional and complex reports. Those can provide an insight into your users’ activities and engagement. With those reports, you can adjust your campaigns and app to your clients’ needs and behaviour.
Implementing AI&ML can also gain more accurate trend predictions based on historical data. There are unlimited possibilities. For example, you can, e.g. predict when the amount of sign-ins grows to scale the app infrastructure in advance.
The better-adjusted content, the longer user interacts with your app. AI&ML allows you to implement a recommendation system to suggest custom content for your users: products, services, blog posts, videos, podcasts, photos… There are no limitations on what you can recommend.
You can improve the efficiency of marketing campaigns by improving clients’ segmentation and adjusting your actions to their preferences: where they want to receive the message and how to interact with it. Providing proper notifications at the right time is key to increasing profitability.
You can use AI/ML to turn large amounts of unstructured data into easily-understandable reports. You can analyse the sentiment of comments you’re mentioned in or trending topics to know how to plan your communication.
Not sure whether you need an AI/ML solution?
It’s easy to figure it out.
If you’re building your first app and it’s not a core feature, you probably won’t need any AI/ML solutions in an MVP. However, you need to plan and include them in the roadmap and add them to your app later.
On the other hand, if you already have an app and need additional features to provide users with a better experience and make the app more profitable, it might be a solution for you.
Still, hesitating? Drop us a line, and together we will establish your needs.
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The whole process from contact to launch (and beyond)
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What our clients say
Here’s why our clients are delighted with our cooperation
Our main goal is to build tailor-made apps that fulfil all end-users needs. Check what our clients said about how we managed to do that.
(…) I was definitely impressed by their level of communication. Their team is also highly versatile. (…) It makes me feel confident that they have the expertise to deliver any kind of app or feature I may want in the future.
They do everything they say they’re going to do, and they do it on time. Most people overpromise and underdeliver, but TeaCode underpromises and overdelivers. I wouldn’t hesitate to work with them again. We picked the right team.
They were more proactive than other service providers we’ve worked with in the past. TeaCode.io actually contributed ideas. They became part of the development of the project.
Let’s meet and talk about your Artificial Intelligence needs
Share your needs, and together we will bring the app to life. We will provide a tailor-made, user-friendly, lightning-fast AI/ML-supported app. We’ll use our pre-built modules. Contact us, and together we will develop a tailor-made app so you can reach your business goals and boost your business.
Our clients' success stories from all around the world
We cooperate with companies from all over the world.
Check what we can do for your industry
We build apps for various industries
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Frequently Asked Questions
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Below you’ll find answers to the most common ones.
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Artificial Intelligence is the field which provides methods and algorithms to build solutions which can automate tasks which usually require human-like intelligence (e.g. image classification).
Machine learning is a subfield of Artificial intelligence, which utilizes data to “learn” a solution to a given task.
Machine Learning is often used for building features based on data, like face recognition, language translation, fraud detection and many others.
Natural Language Processing is a recently popular subfield of machine learning, which focuses on text data. NLP is often applied to document searching, sentiment analysis.
Recommendation systems use the behavior and properties of entities to provide recommendations.
AI and ML are quickly developing fields, but they are not free of shortcomings. Many ML solutions require vast amounts of high quality data and the currently researched algorithms do not always scale well to real world problems.
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