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We assist businesses in gathering, processing, and transforming Big Data into actionable insights through Artificial Intelligence techniques. Let’s drive an AI revolution together.

AI-Based Solutions we make

Leveraging our extensive expertise across various business domains, we are committed to delivering top-tier Artificial Intelligence solutions that are customized to meet our Clients' unique business requirements.

1. Conversational Tools

Using the power of AI technology, Machine Learning, and NLP, we develop chatbots and dialogue systems that deliver human-independent, contextually sensitive questioning and answering services.

2. Personalized Recommendation Engines

They generate personalized offers based on a client's past choices and reviews. Self-learning systems have become essential in software across all industries, including media, healthcare, and finance.

3. Expert & Classification Systems

We create custom expert and classification systems tailored to address specific challenges in various domains, such as healthcare and finance. Our solutions enable business systems to better understand and predict outcomes by identifying patterns and providing valuable recommendations.

4. Video, Image & Text Analytics

We utilize Machine Learning to develop custom video, image, and text analytics applications tailored to specific business needs. These solutions help businesses reduce employee time and effort on tasks, ultimately leading to higher profit margins.

5. Image, Speech, & Face Recognition

Our AI development team creates neural networks for image, speech, and facial recognition that address complex signal processing and pattern recognition challenges.

6. Sales Intelligence Systems

Sales intelligence applications empower businesses of all sizes, from small e-commerce shops to large shopping malls, to boost sales through insightful data, effective recommendations, and valuable predictions.

Leverage our AI software development expertise to build next-generation applications.

 

1. AI Architecture Design

We design a detailed blueprint for the AI system of the future, outlining its components, their interactions, required functionalities, and specifications for performance and scalability.

2. Machine Learning Model Engineering

This service focuses on preparing a model to meet specific business objectives. We define the desired outcomes, process and clean the training data, choose the most suitable AI algorithm, train the model, and optimize it through hyperparameter tuning and evaluation. The end result is a fully trained and functional model for predictive analytics, natural language processing, or other AI applications.

3. Process Automation With AI

We utilize AI to enhance and optimize repetitive tasks, workflows, and processes. Our automation solutions include Robotic Process Automation, workflow automation platforms (such as Zapier and Nintex), business process management suites, AI and machine learning algorithms, chatbots, and virtual assistants. By leveraging AI-driven automation, we reduce manual data entry, minimize repetitive task efforts, and decrease human errors.

4. Generative AI Development

Generative AI unlocks new possibilities for creating content and automating the content creation process. We develop AI applications that produce text, images, music, and videos, enabling businesses to automate content creation or tailor content to their users' preferences.

5. Data Analysis And Visualization

AI excels in data analysis and visualization, often outperforming human capabilities in processing and interpreting data. In our AI development services, we train AI to analyze complex datasets, uncover hidden patterns, generate actionable insights, and identify trends. From financial data and patient records to manufacturing performance logs, we leverage AI across a wide range of industries.

6. AI-Powered App Development

For end-users, we integrate AI into mobile applications to provide personalized experiences, smart recommendations, chatbots, virtual assistants, automatic note-taking, and more. With years of experience in custom application development and expertise in advanced technologies, we create apps that are both intelligent and user-friendly.

Why Choose Incede for AI development

1. Expertise in artificial intelligence technology development

Incede is a trusted AI development company with years of experience in the market. Our team of senior AI developers consistently refines their expertise through advanced courses, staying updated on the latest AI trends, and mastering new AI models.

2. Rapid and transparent development

We leverage Agile methodologies such as Scrum and Kanban to facilitate frequent releases, accelerate stakeholder feedback, and adapt flexibly to changing requirements. Our process ensures maximum transparency, with a clear roadmap, well-defined KPIs, reporting structures, daily sync-ups, and detailed product testing conditions from the outset.

3. Collaboration throughout the entire software development lifecycle

We provide clear timelines and cost estimates, deliver regular sprint and monthly status reports, and offer multiple communication channels including email, chat, messaging apps, phone calls, and in-person meetings. Additionally, we conduct regular demos of completed work and ensure our clients are consistently updated.

Enhance your Business with Industry-focused AI software

With a proven track record in artificial intelligence development across diverse industries, we deliver top-tier, industry-specific custom AI software for both new and established businesses. Our expertise in big data analysis, AI development, and machine learning has already provided significant value to numerous companies worldwide.

1. Ecommerce

  • AI-assisted search;
  • Speech recognition services
  • Relevant offers for buyers
  • Virtual agents and intelligent automation tools
  • Personalized shopping experience.

2. Banking and finance

  • Trading solutions
  • Advisory services
  • Customer service automation
  • Personalization solutions
  • Pattern recognition and fraud prevention

3. Sales & marketing

  • Predictive and prescriptive analytics
  • Content curation solutions
  • AI and machine learning-enabled attribution
  • Cross-channels personalized interactions
  • Personalized and scaling messaging

4. Healthcare

  • Nursing assistants development
  • AI-assisted consultation, diagnosis & treatment
  • Managing Medical records and Other Data
  • Health Monitoring
  • Healthcare System Analysis

5. Education

  • Differentiated and individualized learning
  • AI tutoring;
  • Smart content
  • Global learning
  • Automation of admin tasks

AI Development Strategy

1. Exploratory Stage

This foundational step in artificial intelligence development involves identifying opportunities to integrate AI and Machine Learning into a specific business.
  • Analyze the company’s existing data, its quality, volume, variety, and sources
  • Collect, clean, and preprocess data
  • Identify business challenges that the AI solution needs to address
  • Access the company’s existing IT infrastructure to determine how well the existing systems can integrate with AI
  • System architecture, considering computational and data processing and storing needs
  • Technology stack
  • Develop the roadmap with steps, milestones, timelines, resources required, and clear goals.

2. Design and development

This step focuses on creating the framework for AI operations, encompassing user interfaces for applications and backend activities. We work on:
  • How the app should look and draw mockups
  • Integration with existing systems
  • Backend system development
  • Comprehensive testing

3. Model selection and training

We define criteria such as accuracy, efficiency, scalability, speed, and data handling capabilities. Then, we proceed to train the model.
  • Model selection: supervised, unsupervised, semi-supervised, reinforcement learning, deep learning
  • Preparation of training, validation, and testing datasets
  • Evaluating the model and parameter tuning
  • Documentation of the model selection process, model training parameters, validation results, and any iterations made

4. Deployment and operational integrity

We move the solution from the development and testing phases into active, operational deployment.
  • Deployment planning
  • Environmental setup 
  • Model deployment
  • Application integration 
  • Data migration
  • Monitoring and logging 
  • User training and support 
  • Post-deployment monitoring

5. Maintenance and continuous improvement

We go the extra mile in fine-tuning and calibrating the AI system. Post-deployment, we continuously monitor the system, making adjustments based on performance data and user feedback.

 

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