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Adaptive AI Development Company

Harness the power of adaptive AI to transform your business operations and improve customer satisfaction. With deep expertise in machine learning, deep learning, neural networks, NLP and other AI subsets, our adaptive AI developers build highly performant custom adaptive AI solutions.

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AI Developers

Software Products Delivered

AI Solutions

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Our Adaptive AI Development Services

Consulting and Strategy Development icon

Consulting and Strategy Development

We assess your business goals and requirements to identify the potential of AI in your business and build a roadmap for AI implementation that outlines the strategies to solve your most challenging business problems with AI.
Custom Adaptive AI Model-based Solutions Development

Custom Adaptive AI Model-based Solutions Development

We build custom adaptive AI solutions that use advanced machine learning techniques like transfer and online learning for continual learning of the AI model used. Whether a predictive analytics solution or an AI-powered chatbot, we create solutions that deliver real-time feedback to users.
Blockchain Maintenance

Maintenance and Upgrade

Leverage our ongoing support and maintenance services to fix any issues or bugs and enhance system performance. Our AI engineers will also upgrade the deployed adaptive AI-based solution with additive features to meet your evolving business requirements.
Enterprise Integration

Model Integration and Deployment

Enhance your existing applications with real-time data compatibility by integrating adaptive AI models and solutions like virtual assistants and chatbots. This ensures personalized user experiences and highly automated business processes.
Data Engineering icon

Data Engineering

From acquiring and modifying to loading the data, our adaptive AI developers efficiently process large amounts of high-quality data utilizing advanced data engineering technologies such as NoSQL, Apache Spark, and Hadoop while maintaining scalability, privacy, and security.

Our Technical Expertise in Adaptive AI Development

Machine Learning icon

Machine Learning

Our developers have extensive knowledge of machine learning techniques, including continual, supervised and unsupervised learning, deep reinforcement learning, and attention mechanisms, enabling seamless integration of adaptive AI models into existing systems.
Deep learning icon

Deep Learning

Our developers have expertise in deep learning algorithms and their underlying neural networks like RNNs, CNNs, and long short-term memory (LSTM) networks that help adaptive AI models to learn data and make predictions automatically.

Natural Language Processing (NLP)

Natural Language Processing (NLP)

Our team of adaptive AI experts can incorporate Natural Language Processing (NLP) into your application for efficient sentiment analysis, text processing, and named entity recognition. NLP can also be utilized for developing chatbots and virtual assistants.

Computer vision

Computer Vision

With expertise in utilizing top-notch tools, frameworks and libraries like TensorFlow or PyTorch, our team develops robust computer vision algorithms and techniques, including image classification, object detection, segmentation and scene understanding.

Natural Language Processing (NLP)

Cloud Computing

Skilled in using cloud computing technologies, like Microsoft Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS), that provide access to large data sets, our developers can safely deploy and scale your adaptive AI solutions.
Predictive analytics icon

Predictive Analytics

Our developers have expertise in developing adaptive AI-based solutions that use predictive analytics algorithms and techniques, including random forests, decision trees and gradient boosting, facilitating businesses to make data-driven decisions based on real-time data.

Our Adaptive AI Systems Development Process

Adaptive AI Development Process
Identify the problem

Identify the Problem

The first step in developing an adaptive AI solution is to identify the problem you want to solve. This involves understanding the business need or user requirement that the AI will address, as well as any constraints or limitations on the solution.

Gather data

Gather Data

Once you’ve identified the problem, you need to gather relevant data to train your AI model. This may involve collecting data from a variety of sources, including internal company data, public datasets, and user-generated content.

Clean and preprocess data

Clean and Preprocess Data

After you’ve gathered your data, you need to clean and preprocess it to ensure that it’s suitable for training your AI model. This involves removing duplicates, handling missing values, and transforming the data into a format that can be used by your model.

Develop and train the model

Develop and Train the Model

With your data cleaned and preprocessed, you can begin to develop your AI model. This involves selecting an appropriate algorithm or approach, tuning hyperparameters, and training the model on your data.

Validate and test the model

Validate and Test the Model

Once your model is trained, you need to validate and test it to ensure that it’s performing as expected. This involves evaluating the model’s accuracy, precision, recall, and other performance metrics, and making any necessary adjustments to improve its performance.

Deploy the model

Deploy the Model

Once your model has been validated and tested, you can deploy it in a production environment. This may involve integrating the model with other systems, such as a web or mobile app, and setting up infrastructure to support the model’s ongoing operation.

Monitor and update the model

Monitor and Update the Model

After your model has been deployed, you need to monitor its performance to ensure that it’s continuing to perform as expected. This may involve setting up monitoring and alerting systems and periodically updating the model to improve its performance based on new data or user feedback.

AI Models We Have Expertise In

Our Adaptive AI Systems Development Stack

AI Frameworks


Cloud Platforms


Integration and Deployment Tools


Programming Languages





Supervised/Unsupervised Learning


Metric Learning

Fewshot Learning

Transfer Learning

Ensemble Learning

Online Learning

Neural Networks



Representation Learning

Manifold Learning

Variational Autoencoders

Bayesian Network

Autoregressive Networks

Long Short-term Memory (LSTM)

Our Artificial Intelligence Portfolio

Machinery Trouble shooting using AI
AI-powered App

LLM-powered Application for Safer Machinery Troubleshooting

LeewayHertz collaborated with a top-tier Fortune 500 manufacturing company to develop an innovative LLM-powered machinery troubleshooting application. This innovative solution streamlines machinery maintenance, elevates safety protocol adherence and mitigates operational risks of the firm. By seamlessly integrating static machinery data and dynamic safety policies, the application provides quick access to relevant information for troubleshooting issues while also enhancing safety with clear and detailed instructions on equipment handling.

Generative AI Application

Generative AI Application

LLM-powered App for Compliance and Security Access

LeewayHertz has partnered with Scrut to engineer an LLM-powered app designed to streamline access to compliance benchmarks, frameworks, and audit-relevant data for Scrut's clientele. Drawing on Scrut's proprietary data, our team utilized advanced embedding and prompt engineering techniques to seamlessly incorporate an LLM, yielding rapid query responses and upgraded user experiences. This initiative has equipped Scrut's clients with a robust tool, fostering informed decision-making and providing clear insight into industry benchmarks as well as Scrut’s risk monitoring and mitigation strategies and services.
Generative AI Application
Geospatial Data Analysis

Data Analysis

Geospatial Data Analysis

A US-based geospatial intelligence and analytics firm sought LeewayHertz’s expertise to tackle a complex dataset with limited identifiers, aiming to derive valuable insights, identify patterns, spot unusual movements, and ensure data security. Our solution involved deploying a sophisticated data analysis pipeline, encompassing timestamp conversion, geocoding for contextual enrichment, clustering for pattern recognition, correlation analysis, and anomaly detection. Beyond unveiling intricate location-based patterns, our approach prioritized robust data security, resulting in the delivery of actionable intelligence that precisely met our client's objectives.
GenAI-based Clinical Decision Support System

Generative AI Solution

GenAI-based Clinical Decision Support System

A GenAI-based clinical decision support system tailored for an esteemed healthcare organization that analyzes diverse patient data using advanced algorithms and NLP to provide healthcare professionals with swift and accurate disease diagnoses. The platform’s user-friendly interface optimizes the diagnostic workflow, offering evidence-driven insights and comprehensive reports that include discussions, testing guidance, therapy recommendations, specialist referrals, and patient education. This solution ultimately elevates patient care through the seamless integration of generative AI, fostering efficiency, precision, and innovation in healthcare delivery.
GenAI-based Clinical Decision Support System

Our Adaptive AI-based Development Services Cater to a Wide Array of Industries

Big Brands Trust Us


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Our Engagement Models

Digital Transformation Services LeewayHertz

Dedicated Development Team

Our developers leverage cutting-edge cognitive technologies to deliver high-quality services and tailored solutions to our clients.

Dedicated software development team LeewayHertz

Team Extension

Our team extension model is designed to assist clients seeking to expand their teams with the precise expertise needed for their projects.

Dedicated software development team LeewayHertz

Project-based Model

Our project-oriented approach, supported by our team of software development specialists, is dedicated to fostering client collaboration and achieving specific project objectives.

Get Started Today

1. Contact Us

Fill out the contact form protected by NDA, book a calendar and schedule a Zoom Meeting with our experts.

2. Get a Consultation

Get on a call with our team to know the feasibility of your project idea.

3. Get a Cost Estimate

Based on the project requirements, we share a project proposal with budget and timeline estimates.

4. Project Kickoff

Once the project is signed, we bring together a team from a range of disciplines to kick start your project.

Start a conversation by filling the form

Once you let us know your requirement, our technical expert will schedule a call and discuss your idea in detail post sign of an NDA.

All information will be kept confidential.


What is adaptive AI development?

Adaptive AI development refers to the process of building AI systems that can automatically adjust and improve their performance based on feedback from the environment or user interactions.



How is adaptive AI different from traditional AI?

Traditional AI systems are static and operate based on a fixed set of rules or algorithms. Adaptive AI systems, on the other hand, can dynamically adjust their behavior and learn from experience.

What are some examples of adaptive AI?

Examples of adaptive AI include recommender systems that learn from user behavior to make better recommendations, chatbots that improve their responses based on user feedback, and autonomous vehicles that adjust their driving behavior based on real-time sensor data.

What are the benefits of adaptive AI?

Adaptive AI can improve system performance, enhance user experience, and reduce the need for manual intervention or programming

Do you also sign NDA?

Yes, we can sign an NDA and ensure that your information is kept confidential.

What are some challenges of developing adaptive AI?

Challenges of developing adaptive AI include managing complex data sets, addressing issues of bias and fairness, and ensuring the safety and reliability of the system.

What is the future of adaptive AI?

The future of adaptive AI is likely to see continued growth and innovation, with applications in fields such as healthcare, finance, and education, as well as the development of more sophisticated algorithms and techniques for building adaptive systems.

What are some challenges of developing adaptive AI?

Challenges of developing adaptive AI include managing complex data sets, addressing issues of bias and fairness, and ensuring the safety and reliability of the system.