AI Application Development

Enhancing business operations with state-of-the-art AI applications.

We are a team of experienced AI developers with a proven track record of success. We have developed AI applications for a variety of industries, including healthcare, finance, retail, and manufacturing.

Developing Cutting-Edge AI Applications Across Industries

Manufacturing industry is leading from the front in terms of AI adoption. According to reports, the global AI in manufacturing market size is expected to grow from USD 3.8 billion in 2022 to USD 68.36 billion by 2032, growing at a CAGR of 33.5% over the forecast period 2023-2032.

We have developed & delivered several AI applications for manufacturing industry to increase production efficiency, improve product quality, reduce manufacturing costs, and improve on-floor safety measurements. Some of the major applications include:

  • Predictive Maintenance Platform
  • Product Quality Check Platform
  • Demand Forecasting Tool
  • Generative AI-powered Product Design Platform
  • Inventory Management Systems
  • Potential Hazards Detecting System

Retail industry is becoming a leading AI adopter specially to enhance their customer experience and optimize adverting campaigns. Addition to the list, there are some use cases where we have been asked to develop AI-powered cybersecurity applications to protect customer data.

We have developed the following AI applications for the Retail Industry:

  • Connected Retail System
  • Demand Forecasting Platform
  • Personalized Customer Experience 
  • Conversational AI Chatbot
  • Pricing Optimization Systems
  • Inventory Management Systems

We can understand the pace of AI adoption in the healthcare industry by one simple statistics. According to a report about 70% of healthcare organizations are currently using AI in some capacity.

We have developed various AI applications for healthcare industry to improve the quality of care and patient safety. Here some examples:

  • Image Recognition Platform
  • Generative AI-Powered Virtual Assistant
  • Patient Data Extraction Platform
  • Predictive Disease Detection Platform
  • Medical Devices Life Prediction

We have been building various AI applications for the EOG industry to increase operational efficiency, reduce risks, and improve operational safety. The AI applications include the followings:

  • Equipment Health Monitoring
  • Anomaly Detection in Electric Poles
  • Predictive Maintenance Systems
  • Demand Forecasting
  • Grid Security Systems
  • Energy Efficiency Systems

The market for AI in the EOG industry is growing rapidly. According to a report by Grand View Research, the market is expected to reach $11.3 billion by 2028. The growth of the market is being driven by the increasing demand for oil and gas, the need to improve operational efficiency, and the need to reduce costs.

We develop artificial intelligence  applications for the AdTech industry to analyze in-market audience, building personalized campaigns, forecast demand, create marketing content and boost sales. Our AI applications are helping AdTech enterprises to take data-driven marketing decisions. Here are AI applications we have built for this industry:

  • Campaign Performance Monitoring and Reporting
  • Customer Churn Prediction
  • Personalized Marketing Campaigns
  • Demand forecasting
  • Campaign Conversion Platform
  • Sentiment Analysis
  • Cohort Analysis
  • Automated Marketing Systems
  • Advanced Data Analytics
  • Decision Support Tools

IT industry has always been a fan of data and our AI applications are helping them to nurture the data in an enhanced, optimized and secured way. We have built the following AI applications for the IT industry to improve the data culture:

  • User Data Analytics Platform
  • Predictive Maintenance Platform
  • Cyber Threat Detection & Prevention Systems
  • Intelligent Document Processing Tool
  • Text Analysis Application
  • Document Summarization Platform
  • Network Optimization Systems
  • Fraud Detection Systems
  • AI Chatbots
  • Semantic Search Engine
  • Personalized Customer Support System
  • Call Center Analytics Platform

The market for AI application in the BFSI industry is growing rapidly. The growth of the market is being driven by the increasing demand for fraud detection, risk management, and customer service. We have developed the following AI applications to serve the need of BFSI industry:

  • Decision Support Tools
  • Fraud Detection Platform
  • Trading Systems
  • Credit Scoring Systems
  • Demand Forecasting Platform
  • Automated Customer Care Service
  • Cyber Security Systems
  • Intelligent Document Processing Systems
  • Document Summarization Platform
  • Semantic Search Engine

Transportation & Logistics industry is leveraging AI for improving operational efficiency and reduce costs. We have developed the following AI applications to serve the industry needs:

  • Demand Forecasting Systems
  • Fleet Management Platform
  • Route Mapping Application
  • Intelligent Document Processing Platform
  • Fraud Detection Platform
  • Personalized Customer Support Systems

The market for AI in the transportation and logistics industry is growing rapidly. According to a report by MarketsandMarkets, the market is expected to reach $32.8 billion by 2025. The growth of the market is being driven by the increasing demand for efficiency, cost savings, and compliance.

Why Choose Us For Developing Your AI Application

At ThirdEye Data, we offer AI application development services to help businesses of all sizes leverage the power of AI. Our team of experienced AI engineers has a proven track record of developing innovative and scalable AI applications.

What gives us the competitive edge as AI application developer?

  1. We have a proven track record of developing successful AI solutions.
  2. Our team of experienced AI engineers has the expertise and combined experience of 100+ years to help you achieve your business goals.
  3. We offer a wide range of AI application development services to meet your specific needs.
  4. We are committed to delivering high-quality AI applications on time and within budget.
  5. We offer flexible and transparent pricing options.
  6. We provide excellent post-launch support throughout the entire development process.

AI Application Development Project References

Campaign Conversion Platform

Developed end-to-end Campaign Conversion Platform that optimizes campaigns for converting users to paid subscription plans using Machine Learning techniques.

Pill Detection from Images

Leveraged machine learning techniques to deliver maximum value to patients, ensuring that medications are given to the right patient, at the right time & at the right dose.

Connected Retail Solution

Developed an end-to-end analytical & predictive solution that enhances Customer Experience using Omni-Channel presence based on Microsoft Azure services.

We have developed 50+ AI applications

We have developed 50+ AI applications for small to large scale enterprises including some Fortune 500 companies. Take some time out to browse through our top AI application development project references.

Share Your Data & AI Requirements

Frequently Asked Questions

We recommend the followings to ensure that the AI applications is safe & ethical:

  • Use a transparent and accountable AI development process. 
  • Identify and mitigate potential biases in your AI algorithms.
  • Explain how your AI algorithms make their decisions. 
  • Protect the privacy of your users' data.
  • Use security measures to protect your AI systems from hacking and other security threats. 
  • Consider the ethical implications of your AI application before deploying it.

The potential revenue gains from using AI in your application will vary depending on the specific objective. However, AI has the potential to improve efficiency, accuracy, and customer satisfaction, which can all lead to increased overall revenue.

We believe the best practices for using AI technologies in application development include:

  • Using a clear and concise problem statement.
  • Collecting and preparing the right data.
  • Choosing the right AI technology for the application.
  • Training and evaluating the AI model.
  • Deploying and monitoring the AI system.

The cost of developing an AI application will vary depending on the specific application. However, there are a number of factors that can affect the cost, including:

  • The complexity of the application.
  • The amount of data that is required.
  • The expertise of the development team.
  • The time to market.