AI/ML Development & Consulting Services Company

Building robust mobile applications using AI & ML 100% Confidential and Secure
Successful Products

Overview

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. 

GET QUOTE

Sub-Services

AI & ML Services

Personalization

Personalization

We add a touch of personalization to your mobile and web application with Machine Learning.

Document Analysis

Document Analysis

We provide a benefit automatic data and text extraction with optical character recognition (OCR) from scanned documents.

Fraud Detection

Fraud Detection

We help to identify potentially fraudulent online activities, the creation of fake accounts, and more.

Forecasting

Forecasting

We assist you in identifying the user needs with our Forecasting services using AI & ML services.

Text to Speech

Text to Speech

Enable Text to Speech service to develop speech-enabled and talking applications for your business.

Enterprise Search

Enterprise Search

We provide a natural language search service to get potential and highly accurate enterprise search services.

Image & Video

Image & Video

We provide automatic Image & Video analysis from your mobile or web apps using ML.

Translations

Translations

We provide translation services enabled with neural machines that use deep learning models.

Business Intelligence

Business Intelligence

Our BI services can elevate your business to the next level with the latest technologies and expertise.

Text Analysis

Text Analysis

We provide integration with Natural Language Processing for effective text analysis.

Transcriptions

Transcriptions

We provide transcription service enabled with deep learning for call transcribing, automated subtitling, and more benefits.

Our AI/ML Development Process

The stages and process for AI/ML Development

Kick-off Research

Idea, Consultation, Research, Goal Definition, & Requirements Gathering

Stage 1

Design

System Architecture Design, Wireframing, UI/UX Designing, & Prototyping

Stage 2

Development

Functional Implementation, Software Coding & Optimization

Stage 3

Testing

Quality Assurance, Troubleshooting, & Testing

Stage 4

Deployment

Launch, Beta Live, & Live

Stage 5

Evaluation

Performance Evaluation, & Analytics Implementation

Stage 6

Maintenance

Monitoring, Feedback, Analysis, & Complete Support

Stage 7

FIGURES AND FACTS

Make the most of a world-class team and infrastructure

img-fact
3

State-of-the-art
development facilities

img-fact
25000

sQ. MTR of
office space

img-fact
500+

software engineers &
technical staff

img-fact
1000+

software designed,
developed & deployed

img-fact
24/7

IT support staff
availability

img-fact
12+

years of development
experience

img-fact
700+

Happy
customers

img-fact
4

own Successful
products

MODELS OF WORKING

Business hiring models

Collaborate

Dedicated Team

  • Long-term collaboration
  • Highly scalable team
  • Complete control of the team
  • Complex projects
Collaborate

Fixed Cost

  • Short-medium term collaboration
  • Low scalable team
  • Detailed specifications
  • Clean deadlines
Collaborate

Time & Material

  • Short-long term collaboration
  • Flexible budget and timeframe
  • Complete control over the process
  • Highly scalable team

FAQs

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.