mobile app development

Top AI API Platforms for Smarter Apps

Alexa Skill Management, one of the top AI APIs, is useful to make mobile apps understand voice commands and execute tasks accordingly.

Top AI APIs Platforms

The last decade contributed crucially to the evolution of Artificial Intelligence (AI). Technology got smarter, innovative, and more comfortable compared to what it was before AI had expanded its coverage. The modern world is not only looking into developments of driverless cars or deep space exploration, but with the help of AI, the plan is to make software smarter as well.

And, it’s happening already. Look around and you will find plenty of AI-supported software that is now not only intelligent but fully independent as well. For instance, chatbots, games, healthcare apps, and more are adapting AI faster due to its functionalities.

Now, if we specifically talk about the world of mobile apps, AI has contributed to support functions such as voice recognition, face recognition, data security, translation, and more. In this blog, we are discussing a few top API platforms that are already making all these functions that we mentioned possible.

So, let’s dive right into the details!

Top API platforms for AI apps

Moving further, we are discussing a list of a few AI platforms for mobile apps that can help you in building intelligent mobile applications. These AI apps are shortlisted as per their popularity among top AI companies that are also involved in building on-demand software or mobile apps.

1. IBM Watson Discovery

This AI API management platform is useful for the integration of smart content analytics engines in mobile apps. The IBM Watson Discovery API helps in identifying trends, statistics, and patterns to improve the decision-making part for more accurate results.

Developers can use simple query language to unify the structure and unstructured data and eliminate the need for manual filtering with this one of the best AI API platforms. This one of the best API platforms for mobile apps is making its reputation a crucial part of evolving AI trends for the development of mobile applications.

2. Alexa Development Tools and Skill Management APIs

This top AI API helps mobile apps in understanding voice commands to make decisions. Moreover, it also gives the freedom of updating skills and interaction models. Alexa Skill Management API, one of the top AI API platforms provide skill management for tasks such as news reading, song playing, looking for websites, and more. In other words, this API platform for apps makes your mobile apps understand the user.

3. SummarizeBot API

This one of the top API platforms existing in the industry can help your multimedia app is getting smarter. The SummarizeBot AI API platform helps in helping apps in executing tasks such as voice recognition, transcriptions, fake news detection, image analysis, document analytics, etc.

4. Google Assistant SDK API

Another smart AI API platform for mobile apps that can help your apps in understanding voice commands. Google Assistant SDK enables apps in understanding natural dialects, different accents, and languages to execute results. The API bindings can be available in programming languages such as Node.js, Go, C++, and Java for all gRPC supporting platforms.

5. Einstein Language APIs

Top AI APIs Platforms

Einstein Language APIs include three API platforms for mobile apps. Einstein Sentiment is used to identify the nature of emails. Moreover, proactive services such as resolving issues of dissatisfied customers and offering promotional offers to customers are a few examples. Right now, it is limited to the English language only.

Einstein Intent helps in categorizing the unstructured texts from emails, chats, or web forms. The purpose is to identify the target accomplishment by the user. It is used to identify topics of discussion as well.

The Einstein NER (Named Entity Recognition) identifies information such as date/time, duration, location, money, email, organization, percent, number, phone number, URL, and person in the unstructured data.

6. Qloo API

This one of the top AI platforms is used to provide media-related app solutions with the help of entities. Predictive intelligence helps mobile apps in assisting customer needs in a more customized way.

Qloo API supports cloud architecture to make it friendly for scalable apps. The technology is used by more than 500 fortune companies to execute tasks such as internal reporting, traffic management, app building, and more.

7. Ciliar API

This one of the top API platforms supported by AI is used to detect objects from images and videos. Ciliar API is an open-source API management platform that enables your mobile apps in recognizing the objects included in the multimedia content and execute tasks accordingly. The API management platform is fast and can identify 80+ types of objects easily.

8. Personal Remedies API

This top AI API is focused on providing data such as food-disease, nutrients-disease, food-drug, and more with the help of AI. The AI is capable of providing suitable food data for various diseases. Moreover, Personal Remedies API includes therapies for many diseases as well. The data can be analyzed and modified with the help of AI according to the latest market reports and trends.

9. Intento API

The API model works as an interface for many AI services such as Lingotek, Wordbee, Logrus, and Keylingo among many others. With Intento API, you can choose your preferred language service provider or translation management system provider and integrate it into mobile apps.

10. CarNET API

CarNET API is simply based on vehicle-based data. This one of the top API platforms for apps helps recognize the make, model, and type of the vehicle with the help of photos. The AI can recognize approximately 2500 models and 300 car brands.

To conclude, the API platforms for mobile apps that we discussed can help you in building more user-friendly and intelligent apps. As the technology to make mobile apps convenient is already existing in the market, therefore, the users are habitual of the comfort as well. So, these AI API platforms can make sure that your app is not only easy to use but capable of conveniently executing tasks with minimum instructions as well.

Aparna <span>Growth Strategist</span>
Written By
Aparna Growth Strategist

Aparna is a growth specialist with handsful knowledge in business development. She values marketing as key a driver for sales, keeping up with the latest in the Mobile App industry. Her getting things done attitude makes her a magnet for the trickiest of tasks. In free times, which are few and far between, you can catch up with her at a game of Fussball.

Want To Hire The Best Service Provider?
MobileAppDaily will help you explore the best service providers depending on your vision, budget, project requirements and industry. Get in touch and create a list of best-suited companies for your needs.

Featured Success Stories

mobile app development

A Guide to Calculate Estimated Crypto Wallet App Development Cost in 2023

4 min read  

The sudden surge in the popularity of cryptocurrencies has been very beneficial for blockchain and crypto experts this decade. A Grand View Research report shows, the global crypto wallet market is expected to grow between 2022 to 2030 with a CAGR of approximately 24.4%. In the US market itself, the

mobile app development

How To Build Apps For Foldable Smartphones?

4 min read  

From the very initial days of the newly evolving smartphone industry back in 2008, there has always been a strive among the blue-chip smartphone manufacturing companies to increase the size of the display panels; they can fit onto a particular smartphone form factor to increase their customer base.

mobile app development

How Much it Costs to Build an App Like Uber in 2023?

4 min read  

Uber is no longer an app but a verb for ride-hailing. Leading a market that’s estimated to grow to US$318,765m by 2023, Uber has inspired many other app owners to make Uber clone apps.While some apps like Lyft, Didi, Grab and Ola fared well; there are thousands of other ride-hailing apps o

mobile app development

Top Machine Learning Frameworks For AI Development Company [2021]

4 min read  

It’s a fact that Artificial technology is increasingly making our lives easier. If we think about it, every second component is now attached with some sort of machine learning tool that makes it work by minimum human interference. AI technology is transforming every sequence of the mo

Featured Success Interview

Interview

Interview With Coyote Jackson, Director of Product Management, PubNub

MAD Team 4 min read  

MobileAppDaily had a word with Coyote Jackson, Director of Product Management, PubNub. We spoke to him about his journey in the global Data Stream Network and real-time infrastructure-as-a-service company. Learn more about him.

Interview

Interview With Laetitia Gazel Anthoine, Founder and CEO, Connecthings

MAD Team 4 min read  

MobileAppDaily had a word with Laetitia Gazel Anthoine, Founder and CEO, Connecthings. We spoke to her about her idea behind Connecthings and thoughts about the company’s services.

Interview

Interview With Gregg Temperley, Founder Of ParcelBroker App

MAD Team 4 min read  

MobileAppDaily had a word with Gregg Temperley, Founder. We spoke to him about his idea behind such an excellent app and his whole journey during the development process.

App Development

How to Implement Artificial Intelligence and Machine Learning in an Existing App?

MAD Team 11 min read  

AI is for decision making, and ML makes the system to learn new things from data.

MAD Originals
MAD Originals

Cut to the chase content that’s credible, insightful & actionable.

Get the latest mashup of the App Industry Exclusively Inboxed

  • PRODUCTS
  • SERVICES
  • BOTH
Join our expansive network, build connections and expand your brand presence.