Make your business processes smarter with AI development services
Mobile Applications are changing, and with time, they are getting smarter. With Artificial Intelligence (AI) and Machine Learning (ML) integration, we can utilize the full potential of how we analyze user information and behavior. As a result, we build mobile app solutions that can gain a competitive edge in your industry. OpenXcell has experienced techies to integrate AI & ML in your mobile app development deeply.
OpenXcell team believes in applying deep learning in mobile app development. You can use various technologies to continuously analyze user behavior and achieve insights into their requirements through statistical processes. We offer integrations of this next-generation technology in your application to build a robust mobile app. We provide AI-Based solutions.
To build powerful mobile applications that understand user requirements and behave in a way that tightly integrates with the user psychology by offering critical insights for decision making, we provide AI-based solutions for mobile applications. With AI, you can build robust algorithms that can understand user behavior.
By applying the power of machine learning and with a specifically designed algorithm for your mobile applications, we build automated processes with little or no human decision-making process requirement, and thus reduce errors and save time and energy. Through cutting-edge AI and ML tools, natural language processing can be made possible in mobile app development. We have deeply integrated NLP technology in various applications by training chatbots, BI, analytics, etc. In addition, we offer Natural Language Processing in search features of app development. Apart from this, we help build the future of mobile app development using AI & ML and its features such as interactive chatbots, recommendation engines, automation of the process, voice-based AI, optimization inventory, image processing, and so on.
AI & ML Services
Our AI/ML Development Process
The stages and process for AI/ML Development
Idea, Consultation, Research, Goal Definition, & Requirements Gathering
System Architecture Design, Wireframing, UI/UX Designing, & Prototyping
Functional Implementation, Software Coding & Optimization
Quality Assurance, Troubleshooting, & Testing
Launch, Beta Live, & Live
Performance Evaluation, & Analytics Implementation
Monitoring, Feedback, Analysis, & Complete Support
FIGURES AND FACTS
Make the most of a world-class team and infrastructure
sQ. MTR of
software engineers &
developed & deployed
IT support staff
years of development
MODELS OF WORKING
Business hiring models
Build - Operate - Transfer
- Long term collaboration
- Highly scalable team
- Team ownership
- Dedicated working centre
Time & material
- Short-medium term collaboration
- Low scalable team
- Detailed specifications
- Clean deadlines
- Short-long term collaboration
- Flexible budget and timeframe
- Complete control over the process
- Highly scalable team
It has been a fantastic partnership with OpenXcell!
Daniel Dyer, Founder, D'Appy Deals AppVIEW ALL TESTIMONIALS
Find more information on AI & ML
Frequently Asked Questions
AI-as-a-service can be defined as the outsourcing of various Artificial Intelligence services offered by third-party. Companies and organizations can use AI for various processes and can experiment with AI tools without any initial heavy investment and the least amount of risk. Even startups and small organizations can experiment and develop their various business processes using AI-as-a-service with a comparatively smaller investment.
Artificial Intelligence is less consistent as compared to other services, as it basically builds a small component in a large application. The main purpose of it is to stay in the background and enhance the capabilities, improve UI, and optimize all the desired processes. Being a set of algorithms, rather than a single service, AI has a lot to offer and we work with numerous platforms, some of them are enlisted here,
- • Amazon Machine Learning
- • IBM Watson & Bluemix Platform
- • Azure Machine Learning
- • SalesForce’s Einstein
- • Google TensorFlow & Cloud Prediction API
When you are talking about using Artificial Intelligence in your app, the possibilities are countless. Let’s have a look at some of the ways in which AI can benefit you and your business by incorporating it into your app.
- • Automate your business processes using AI tools
- • Customized AI-based mobile apps, web apps, or software
- • AI-powered standalone chatbots for personalized communication
- • Custom software built using Artificial Neural Networks
- • AI-fueled systems can solve complex problems using automated reasoning
- • AI-powered systems can be used for user behavior analytics
Generally, we do not follow any predefined or common tech architecture, our process involves dynamic selection. We conceive your project as a bunch of complex problems and ensure that each module is treated independently and a separate architecture is built for it.
Also, there will be ongoing iterations right from the start till the end. So, we keep modifying the architecture as and when needed during the entire development process.