Our 360-degree ML development services

As an established machine learning development company, ITRex has both strong ML development expertise and engineering power to help your company break into the future with a winning machine learning solution.
ML Consulting ML Development ML Integration Having worked on dozens of ML projects, our ML consultants know how to guide you to an ML solution that will make the biggest difference for your business. From evaluating your data and identifying the best ML approach to maximize your ROI to scoping, PoC, and user-facing prototypes, we have you fully covered. As part of our full-stack machine learning development services, our data scientists handle all your data-related tasks, including labeling. We build and validate custom ML models, ensuring their easy operationalization, and wrap the ML algorithms into infrastructure, be it cloud, mobile, or edge, to deliver a fully functioning ML solution. Our seasoned machine learning developers are here to help you with a seamless integration of neural networks and other ML algorithms to augment your business application, enterprise system, or workflow. Leverage our expertise in deploying ML capabilities to revolutionize experiences and enhance operations.

Our ML expertise in focus

Tap our unique knowledge in developing top AI solutions relying on machine learning and deep learning to create your own ML success story in automation, business forecasting, or product innovation.

Computer Vision
We create deep learning architectures for various CV tasks, from image classification to object detection, smart video analysis, and GANs to help clients get ahead of the curve with the latest CV breakthroughs. Learn more about our computer vision services.
Natural Language Processing (NLP)
As part of our machine learning development services, we enable machines to understand and interpret human language. Speech recognition, translation, sentiment analysis, automatic text classification, chatbots, and more, our ML developers deliver best-in-class NLP solutions.
Data Mining
Our machine learning development company builds custom ML algorithms for data mining solutions that discover patterns, anomalies, and correlations in large datasets for valuable insights. Uncover new business opportunities and empower better-informed decision-making with our full-range data management services.
Predictive Algorithms
Leveraging machine learning and deep learning algorithms, we build both simple and complex predictive models, enabling companies to forecast their business outcomes, including workforce planning, churn analysis, competition analysis, risks, and asset maintenance.
Intelligent Process Automation
ITRex machine learning development services include custom IPA solutions that bring the power of data, ML, and automation together. We make intelligent automation easy, no matter your process, by adding a layer of deductive analytics and prediction to RPA systems.

Industry-specific ML solutions tailored to your business

A machine learning services company with a team of more than 300 cross-functional specialists, we stay on top of your industry challenges and know how to use emerging ML opportunities to your advantage.

Financial services
Detect fraud, measure credit default risk accurately, assist users with chatbots, and improve asset management with custom machine learning development
Improve the quality of medical diagnosis, patient care, and disease treatment by leveraging our machine learning development and consulting services
Transportation & Logistics
Build your ML-powered system using ITRex expertise in ML development to optimize routes, boost fleet productivity, and address other transportation challenges
Media & Entertainment
From personalized content recommendations and ad optimization to media analysis and subtitling—our machine learning development services cover all of your needs.
Deliver next-level personalization, offer tailored product recommendations, get customer insights, forecast sales, and manage churn rates better with our ML-driven solutions
Realize the promise of ML in education by implementing ML solutions that deliver personalized learning experiences through tracking student progress and adjusting courses
Predict claim costs, reshape underwriting, and improve pricing and risk management with the help of our ML developers to stay profitable in the high-risk industry
Leverage our machine learning development expertise to create innovative solutions and products in automotive that can help improve road safety, enhance vehicle efficiency, predict traffic, and optimize routes.

Our ML development tech stack

Algorithms Languages ML Frameworks
  • Supervised Learning (classification, regression, etc.)
  • Semi-supervised Learning
  • Unsupervised Learning (clustering, etc.)
  • Deep Learning (neural networks, reinforcement learning, etc.)
  • Optimization
  • Probabilistic ML
  • Computer Vision (object detection, instance segmentation, etc)
  • Python
  • R
  • Scala
  • SQL
  • C++
  • Tensorflow
  • Scikit-learn
  • SciPy
  • PyTorch
  • Visualization DBMS Cloud Platforms
  • Power BI
  • Tableau
  • Qlik
  • Matplotlib
  • seaborn
  • ggplot2
  • Plotly
  • Bokeh
  • MS SQL
  • PostgreSQL
  • MySQL
  • MongoDB
  • CouchDB
  • Cassandra
  • Hadoop
  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure
  • Our approach to future-forward ML development


    Data Preparation


    Deployment & Optimization

    Our ML consultants start with a deep analysis of your business, data, and systems while engaging with end-users in ideation sessions to nail down an ML solution that fits your problem best.

    What makes ITRex stand out

    years of hands-on experience
    top-tier experts
    clients around the globe
    years' client engagement
    software products delivered
    hold BS, MS or PhD in Math/Computer Science

    Machine learning development FAQs

    1. What types of machine learning services does ITRex offer? What makes you a reliable ML development company?
    Our machine learning development services run the gamut from ML consulting and development to ML migration and integration solutions. Furthermore, ITRex delivers a full spectrum of related services, including generative AI consulting and development, Big Data, IPA, NLP, Deep Learning, Computer Vision, and Anomaly Detection services — all under one roof. Deep-rooted AI development and consulting expertise, technology-agnostic approach, extensive cross-industry experience, complete transparency, and flexibility — with us, you get all of this and so much more.
    2. Can you provide examples of successful machine learning projects you've completed?
    Our track record includes multiple machine learning development projects for SMBs and giants alike across a number of industries. Among the most landmark projects are an ML-based clinical decision support system for cancer patients for a healthcare analytics company, an ML-powered live stream content moderation tool for a social media giant, and an end-to-end ML solution for marketing campaigns for a provider of innovative marketing services to the financial sector.
    3. How does the process of a machine learning project unfold from start to finish?
    A machine learning development project typically involves the following phases: problem definition and analysis, ML solution design, data collection and preparation, model selection and training, model performance evaluation, ML solution integration and deployment, and ML solution performance monitoring and optimization.
    4. What data/types of data are required for a machine learning project? What if we don't have enough data for ML model training?
    The data used in machine learning is typically numerical (consists of numbers) or categorical (consists of categories or labels, such as names, types, or categories). You can use any training data that can be transformed into numbers, including text, graphs, images, videos, tabular data, and more.
    If the volume or quality of the data is not up to par, we will help you collect more data or use different data synthesis and data augmentation techniques to assist you in generating new data sets or transforming the already available data samples to create new ones. Which technique to select will mostly depend on the nature of your problem. You don’t need to worry about how much training data you have—our top machine learning development experts will shoulder the burden.
    5. Do we have to train machine learning from the ground up, or can we customize readily available models/use foundation models "as is"?
    There isn't a one-size-fits-all machine learning development strategy that works for every project. The type of data you have and the results you want to achieve determine which machine learning approach is the most appropriate one. Each approach comes with its own set of advantages and limitations. Pre-trained on vast volumes of unlabeled data, foundation models emerge as the most cost-effective option in that you don't have to invest in a solid training data set. However, in some use cases, training a model from the ground up may turn out to be the preferred alternative. Our machine learning consulting company will help you specify which approach might be better suited for your specific scenario: train a model from scratch or fine-tune a pre-trained foundation model to your specific requirements.
    6. How long does it take to see results from a machine learning project?
    The adoption rate, scalability of solutions, and alignment with business objectives are just a few examples of the variables that might affect how long it takes to realize the business benefit and return on investment (ROI) from an ML project. While some projects may require longer-term adoption and investment to show a substantial impact, others may produce immediate results and measurable return on investment.
    7. What are the costs associated with your machine learning development services?
    We can't tell you the exact cost of the solution until we assess your requirements, objectives, and problems you are grappling with. Several factors determine the final cost of a machine learning development project. When estimating the cost of an ML solution, we consider the complexity of the solution, characteristics of the available data (data quality, type, and volume), ML approach, and the infrastructure and resources required. For a ballpark figure, contact our machine learning consultants.