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Machine Learning Development

We help organizations drive business outcomes, create breakthrough results and improve operational efficiency with advanced Machine Learning Development.

Machine Learning Services

Fullstack Developers

Software Products Delivered

AI Solutions

Total Years of Experience

Streamline Your Business Operations With Machine Learning Solutions

Our AI engineers help companies solve complex business problems by facilitating data-based decision-making and building new data-driven business models. We implement computational intelligence, pattern recognition and predictive analytics to create future-ready Machine Learning Applications. Our aim is to optimize and automate your business processes with intelligent algorithms.

Our Machine Learning Development Services

AI Development

Deep Learning

Leverage our expertise in deep learning to build cognitive business technology frameworks that act like human beings.

AI Development

Predictive Analytics

We help businesses assess data using machine learning and statistical algorithms. We develop AI solutions that can identify possible future outcomes based on historical data.

AI Development

Machine Learning Programming

Our AI developers build custom machine learning software to create actionable decision models and automate business processes. We transform raw data into clean datasets using classification, clustering and regression models across the systems.

AI Development


Using predictive modeling, we enhance business performance, risk mitigation and performance monitoring to boost revenue and help or clients obtain business intelligence.

AI Development

Neural Network Development

Our AI engineers produce deep learning systems that can process big data sets with a huge number of variables. Using the system built on neural networks, we create patterns that popular apps cannot classify.

AI Development

Marketing Automation Solutions

By integrating machine learning programs with marketing automation and CRM applications, we break down market segmentation, execute precision marketing, optimize demand forecasting, quantify leads and enhance content recommendations for market segments and specific customers.

Our Approach to Providing Innovative Machine Learning Solutions

AI Development

Understanding Data

Our ML experts gather data from the relevant sources and examine it to have a good understanding of business-related issues.

AI Development

Preparation of Data

Using Machine Learning algorithms, our experts clean the raw data to enhance its quality and avoid any incomplete or unformatted data.

AI Development

Model Building

We develop and train models, evaluate their efficiency and repeat the process until we achieve the required accuracy.

AI Development

Evaluation and Deployment

We collect feedback from our clients on data and machine learning models to proceed with the deployment of models once they are satisfied with the evaluation.

AI Models We Have Expertise In



A set of OpenAI models that can solve complex problems with high accuracy, thanks to its advanced reasoning capabilities and broader general knowledge.



LLaMA (Large Language Model Meta AI) is a foundational large language model designed to generate text, have conversations, summarize written material, solve math theorems or predict protein structures.
PaLM 2

PaLM 2

The newest extensive language model from Google, stands out in performing intricate reasoning assignments, such as code interpretation, mathematical solutions, categorization, query responses, and translation with proficiency in multiple languages. This model highlights Google's commitment to responsible AI, surpassing previous capabilities in natural language generation.


Claude is a large language model (LLM) by Anthropic, trained as a virtual assistant that can be integrated with business workflows. Claude, accessible through both a chat interface and API in Anthropic’s developer console, can perform an extensive range of conversational and text-processing tasks.


A set of OpenAI models capable of performing natural language processing tasks such as text generation, summarization, translation and question answering.

  • Davinci

  • Curie

  • Babbage

  • Ada



A set of OpenAI models, including the highly capable and cost-effective Gpt-3.5-turbo, that improve on GPT-3 and can generate text or code.



DALL·E by OpenAI generates realistic images and artwork based on text prompts. It can produce images of a specified size, modify pre-existing images and generate variations of user-provided images.



Whisper is a general-purpose speech recognition OpenAI model that can perform language identification, speech translation and multilingual speech recognition.



OpenAI's Embeddings are numerical representations of linguistic units like words and phrases that capture the semantic meaning and relationships between them.



Moderation models are machine learning OpenAI models designed to assist in content moderation tasks, such as identifying and removing inappropriate or harmful content from online platforms.

Stable Diffusion

Stable Diffusion

Stable Diffusion generates detailed images from text prompts and can also be used for tasks like inpainting, outpainting, and image-to-image translations guided by text.


Google's Bard, powered by LaMDA, is a text-to-text generative AI chatbot designed to generate human-like responses to natural language prompts, making it capable of engaging in conversations with humans.

Our AI Development Technology Stack

DL Frameworks



Image Classification Models





Generative AI Models

Generative Adversarial Networks

Transformer models (GPT3, GPT 3.5 Turbo,LaMDA, Wu-Dao)

Llama, Palm 2, GPT-4


Supervised/Unsupervised Learning


Metric Learning

Fewshot Learning

Neural Networks



Representation Learning

Manifold Learning

Variational Autoencoders

Bayesian Network

Autoregressive Networks

Alliances & Partners

We strategically collaborate with a diverse ecosystem of partners and platforms, ensuring unparalleled flexibility and swift outcomes while maintaining quality and excellence.


Our Artificial Intelligence Portfolio

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
LLM-powered Application for Safer Machinery Troubleshooting
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.



The AI-Powered Story Creation Platform

MakeMyTale is a cutting-edge story creation and sharing platform that leverages advanced AI technology to deliver a truly personalized experience. Its user-friendly interface empowers users to shape the theme and characters of their story with ease. The platform's AI-powered audio and video creation capabilities bring stories to life by generating captivating audio and visual versions. Additionally, the option for co-authoring enables seamless sharing with a global audience.

LLM App for Wine Recommendation

AI-powered solution

LLM App for Wine Recommendation

A custom LLM application built for a Switzerland-based wine e-commerce company to improve the wine shopping experience of its customers. It offers personalized wine recommendations, efficient search functionality, detailed wine profiles, multilingual support, real-time availability checking, and a user-friendly interface. The app leverages the company’s proprietary data and LLMs like GPT-4 to provide relevant responses to customer queries and enhance the overall wine-shopping experience for users.

Big Brands Trust Us

LeewayHertz Clients

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 machine learning development?

Machine learning development involves the creation of algorithms, models and systems that can learn and make predictions or decisions based on data. This process typically involves data preparation and analysis, model development and training, and model deployment into production.

What kind of industries can benefit from machine learning services?

Machine learning has the potential to benefit a wide range of industries by providing predictive analytics, automation, and optimization. Here are some examples:

  1. Healthcare: Machine learning can be used to diagnose diseases, predict patient outcomes, and optimize treatment plans.
  2. Finance: ML-based systems can detect fraud, predict market trends, and optimize investment strategies.
  3. Retail: Machine learning can be used to predict consumer behavior, personalize recommendations, and optimize inventory management.
  4. Manufacturing: Machine learning can optimize production processes, predict equipment failures, and reduce downtime.
  5. Transportation: Machine learning systems can enhance logistics, predict traffic patterns, and reduce fuel consumption.
  6. Agriculture: Machine learning can be used to improve crop yields, predict weather patterns, and detect diseases in crops.
  7. Energy: Machine learning can optimize energy consumption, predict equipment failures, and improve safety in power plants.

These are just a few examples of industries benefiting from machine learning services. With the ability to analyze vast amounts of data and make predictions based on that data, machine learning can transform many industries and revolutionize how we live and work.

What tools and programming languages are commonly used for machine learning development?

There are several tools and programming languages commonly used in machine learning development. Here are some of the most popular ones:

  1. Python: Python is a popular programming language for machine learning due to its simplicity, ease of use, and wide range of library and machine learning frameworks. Some of Python’s most popular libraries and frameworks for machine learning include TensorFlow, PyTorch, Keras, and Scikit-learn.
  2. R: R is another popular programming language for machine learning, particularly for statistical analysis and data visualization. It has a wide range of packages for machine learning, including caret, randomForest, and glmnet.
  3. MATLAB: MATLAB is a programming language and environment for numerical computing often used in machine learning research and development. It has several toolboxes for machine learning, including the Statistics and Machine Learning Toolbox and the Deep Learning Toolbox.
  4. Java: Java is a widely used programming language for enterprise applications, and there are several machine learning libraries and frameworks available for it, including Weka, Deeplearning4j, and Apache Mahout.
  5. C++: C++ is a high-performance programming language that is often used for building machine learning systems that require fast execution, such as computer vision and robotics.
  6. SQL: SQL is a language used to manage and query relational databases, and it can be used in machine learning for data cleaning, preprocessing, and feature engineering.

What kind of machine learning services does LeewayHertz offer?

LeewayHertz offers several machine learning services, including data preparation and analysis, machine learning model development, and deployment. They also specialize in developing custom machine learning solutions tailored to the specific needs of their clients. Additionally, they use various tools and techniques, such as deep learning, natural language processing, and computer vision, to build accurate and efficient machine learning models.

How can machine learning services help businesses improve their operations?

Machine learning can help businesses automate tasks, identify patterns and trends in their data, make more accurate predictions, and optimize their operations for better efficiency. For example, machine learning can be used in healthcare to identify patients who are at risk of developing certain diseases, in marketing to target ads to specific audiences, or in manufacturing to optimize production processes.