machine learning development and consulting services

Machine learning development & consulting services

Embrace ML for a measurable business value with ITRex machine learning development and consulting services powered by our 13+ years of experience in the industry.

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 230 cross-functional specialists, we stay on top of your industry challenges and know how to use emerging ML opportunities to your advantage.

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

Build your ML-powered system using ITRex expertise in ML development to optimize routes, boost fleet productivity, and address other transportation challenges

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

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

Discovery

Data Preparation

Modeling

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.

Next, we aggregate and transform your data. This process might involve data annotation or labeling, or we might use novel ML strategies like one-shot learning.

We run experiments to develop a high-performing ML model, assessing it against a test dataset for accuracy. We iterate and tune the model until we get the best results.

Finally, we deploy the model in the business application context, checking performance against real-world data and, if needed, retraining the model before scaling implementation across the enterprise.

What makes ITRex stand out

13+

years of hands-on experience

230+

top-tier experts

200+

clients around the globe

years' client engagement

600+

software products delivered

90%

hold BS, MS or PhD in Math/Computer Science

Machine learning development FAQs

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.

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.

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.

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.

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.

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.

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.