Machine Learning Development
We help organizations drive business outcomes, create breakthrough results and improve operational efficiency with advanced Machine Learning Development.
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
Deep Learning
Leverage our expertise in deep learning to build cognitive business technology frameworks that act like human beings.
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.
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.
Optimization
Using predictive modeling, we enhance business performance, risk mitigation and performance monitoring to boost revenue and help or clients obtain business intelligence.
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.
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
Understanding Data
Our ML experts gather data from the relevant sources and examine it to have a good understanding of business-related issues.
Preparation of Data
Using Machine Learning algorithms, our experts clean the raw data to enhance its quality and avoid any incomplete or unformatted data.
Model Building
We develop and train models, evaluate their efficiency and repeat the process until we achieve the required accuracy.
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
GPT-4
A set of OpenAI models that can solve complex problems with high accuracy, thanks to its advanced reasoning capabilities and broader general knowledge.
LLaMA
PaLM 2
Claude
GPT-3
A set of OpenAI models capable of performing natural language processing tasks such as text generation, summarization, translation and question answering.
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Davinci
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Curie
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Babbage
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Ada
GPT-3.5
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
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
Whisper is a general-purpose speech recognition OpenAI model that can perform language identification, speech translation and multilingual speech recognition.
Embeddings
OpenAI's Embeddings are numerical representations of linguistic units like words and phrases that capture the semantic meaning and relationships between them.
Moderation
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
Bard
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
Modules/Toolkits
Libraries
Image Classification Models
VGG-16
ResNet50
Inceptionv3
EfficientNet
Generative AI Models
Generative Adversarial Networks
Transformer models (GPT3, GPT 3.5 Turbo,LaMDA, Wu-Dao)
Llama, Palm 2, GPT-4
Algorithms
Supervised/Unsupervised Learning
Clustering
Metric Learning
Fewshot Learning
Neural Networks
CNN
RNN
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
LLM-powered App for Compliance and Security Access
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.
MakeMyTale
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.
AI-powered solution
LLM App for Wine Recommendation
Big Brands Trust Us
Our Engagement Models
Dedicated Development Team
Our developers leverage cutting-edge cognitive technologies to deliver high-quality services and tailored solutions to our clients.
Team Extension
Our team extension model is designed to assist clients seeking to expand their teams with the precise expertise needed for their projects.
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.
FAQs
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:
- Healthcare: Machine learning can be used to diagnose diseases, predict patient outcomes, and optimize treatment plans.
- Finance: ML-based systems can detect fraud, predict market trends, and optimize investment strategies.
- Retail: Machine learning can be used to predict consumer behavior, personalize recommendations, and optimize inventory management.
- Manufacturing: Machine learning can optimize production processes, predict equipment failures, and reduce downtime.
- Transportation: Machine learning systems can enhance logistics, predict traffic patterns, and reduce fuel consumption.
- Agriculture: Machine learning can be used to improve crop yields, predict weather patterns, and detect diseases in crops.
- 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:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Insights
AI in real estate: Impacting the dynamics of the modern property market
AI is reshaping the real estate industry by optimizing processes, boosting efficiency and empowering the modern property market for a smarter future.
Generative AI in the automotive industry: Redefining how we drive, commute, and interact with vehicles
Generative AI is reshaping the automotive landscape, infusing vehicles with intelligence and creating personalized driving experiences that adapt to individual preferences and needs.
AI in fuel distribution control: Exploring the use cases
Artificial Intelligence plays a significant and diverse role in fuel distribution control, altering how the entire process is handled.