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GenAI for your software engineering team is here.

Adopt it in 12 weeks or sooner.

key facts about our machine learning consulting company

50K+
IT experts internationally
30+ years
providing IT consulting services
12+
industries served

machine learning consulting business services we offer

We provide comprehensive machine learning consulting services that encompass various technology-related business applications. From the initial business analysis to model development, we’ll help you maximize the impact of your machine-learning initiatives in the long run.

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    business data analysis
    Our team of machine learning consultants will analyze your company's processes and data infrastructure to identify opportunities for machine learning implementation. Then, we’ll define project steps and objectives that align with your specific business goals.
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    data services
    Our specialists will help you collect, structure, and evaluate corporate data, ensuring that it’s ready for effective ML model training. In addition, we'll analyze the existing data sources to define the machine learning model evaluation criteria you can use.
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    machine learning models development
    We provide optimal ML modeling algorithms that align with your project's requirements. We ensure efficiency and accuracy in all data-related processes, including data collection, processing, and structuring.
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    machine learning models support
    We provide ongoing monitoring and maintenance, regularly updating the models to adapt to changing data patterns and business requirements. Our team of experts will analyze model performance, identify potential issues, and fine-tune algorithms to enhance their efficiency.
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our fields of machine learning expertise

Our experts develop tailored machine-learning solutions that enhance enterprise processes and become the core of competitive commercial products. These solutions are powered by finely-tuned ML models, ensuring higher optimization and effectiveness in transforming various aspects of the business.

business automation

Implement machine learning solutions to streamline and automate repetitive tasks, thereby reducing manual efforts, increasing efficiency, and optimizing business processes.

Implement machine learning solutions to streamline and automate repetitive tasks, thereby reducing manual efforts, increasing efficiency, and optimizing business processes.

data mining

Use advanced machine learning algorithms to extract valuable patterns, metrics, and insights from large and complex datasets. Make data-driven decisions and uncover hidden opportunities.

Use advanced machine learning algorithms to extract valuable patterns, metrics, and insights from large and complex datasets. Make data-driven decisions and uncover hidden opportunities.

computer vision

Leverage state-of-the-art computer vision algorithms to enable machines to comprehend and interpret visual data, empowering applications for object detection, image recognition, and video analysis.

Leverage state-of-the-art computer vision algorithms to enable machines to comprehend and interpret visual data, empowering applications for object detection, image recognition, and video analysis.

robotic process automation (RPA)

Employ machine learning and AI-powered bots to automate rule-based tasks, allowing organizations to achieve higher accuracy, faster processing, and cost savings.

Employ machine learning and AI-powered bots to automate rule-based tasks, allowing organizations to achieve higher accuracy, faster processing, and cost savings.

predictive analytics

Utilize historical data and machine learning models to forecast future outcomes and trends. Make proactive decisions and optimize resource allocation.

Utilize historical data and machine learning models to forecast future outcomes and trends. Make proactive decisions and optimize resource allocation.

recommendation engines

Develop personalized recommendation systems that use machine learning algorithms to suggest relevant products, content, or services to users, enhancing the user experience and driving engagement.

Develop personalized recommendation systems that use machine learning algorithms to suggest relevant products, content, or services to users, enhancing the user experience and driving engagement.

smart customer insights

Analyze customer data using machine learning techniques to gain valuable insights into customer behavior, preferences, and needs, enabling targeted marketing strategies and improved customer satisfaction.

Analyze customer data using machine learning techniques to gain valuable insights into customer behavior, preferences, and needs, enabling targeted marketing strategies and improved customer satisfaction.

natural language processing (NLP)

Analyze and process text and speech data to extract valuable insights, automate language-based tasks, and build sophisticated language-driven applications, including chatbots and personal assistants.

Analyze and process text and speech data to extract valuable insights, automate language-based tasks, and build sophisticated language-driven applications, including chatbots and personal assistants.

why choose our machine learning consultancy

Our machine learning consulting services stand on our extensive domain expertise and a proven track record of successful ML implementations. We prioritize effective communication and collaborative problem-solving workflow to ensure the best results for our clients.

enhanced decision-making

We can analyze vast datasets to identify intricate patterns and make accurate predictions, enabling informed and data-driven decision-making for your business.

streamlined efficiency

We'll automate routine tasks and processes, liberating valuable time for your workforce to concentrate on more creative or innovative endeavors and fostering increased productivity and efficiency.

personalized customer experiences

Our machine learning consultants specialize in analyzing customer data to offer personalized recommendations and marketing messages, tailoring interactions based on individual preferences and behaviors.

robust fraud detection

We’ll help you detect anomalies and uncover fraudulent activities within extensive datasets, reinforcing your security measures and minimizing potential losses.

client-centric approach

We prioritize maintaining transparent communication to deliver ML solutions that align with your business goals.

product development insights

Our team will thoroughly analyze customer feedback and usage data, providing invaluable insights for product development initiatives and optimizing the overall user experience.

choose your mode of machine learning consulting

We cater to your specific project requirements and offer flexible options for ML consulting services. Regardless of the engagement model, we provide effective communication and results at each project development phase.

dedicated team

Our team will work exclusively on your machine learning project. This model offers maximum flexibility and control for startups and SMBs, allowing effective collaboration with your in-house team.

time & material

You will pay only for our actual time and resources invested in the project during the development process. If your ML project's scope is dynamic with no precise requirements, we recommend choosing this model.

team extension

We can supplement your in-house team with our specialists, such as project managers, data scientists, and machine learning engineers, to work on your project together.

how to engage our ML consultant team

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share your ML project requirements

Discuss and share your needs during the first contact, and our team will get back with a roadmap detailing the project’s implementation.

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choose the engagement model

Depending on your goals, hire a dedicated team or add our ML professionals to your in-house team.

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get started

Unlock the power of machine learning for your project while saving on costs and development time.

explore more services

remote IT support
Ensure the seamless functioning of operations and promptly address any technical challenges.
IoT development
Elevate your IoT initiatives with our expert IoT development services.
DevOps
Keep your IT infrastructure and delivery secure and stable.

ML tech stack we work with

Here at EPAM Startups & SMBs, we work with industry-proven machine learning and data science technologies and tools. Staying up to date with the technology’s latest trends is our foremost priority.

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programming languages

Python

R

C++

and more


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frameworks

PyThorch

TensorFlow

Pandas

and more

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cloud platforms

AWS

Azure

Google Cloud Platform

and more

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tools

Google Cloud Dataproc

Databricks

AWS Glue

IBM Watson Studio

and more

what our clients say

We at EPAM are happy to deliver excellent results and prove our expertise time and again with clients that range from small and medium to enterprise-size businesses.

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We found working with EPAM has been a true partnership, where they’ve proven themselves to be a reliable, trustworthy and hardworking team that has really helped us push the boundary of customer-centric innovation.

Zac Carman Managing Director Products, Consumer Affairs
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The trusted EPAM team has helped us push the boundaries of customer-centric innovation. With programs like Horizon 4, we need the ability of our development partners to stay on track. And EPAM stands for that.

Mark Giesbers Managing Director Products, Liberty Global
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We chose EPAM to develop a native mobile extension of an existing enterprise application. They were able to quickly identify the needs of our project and collaborate with key individuals within our organization to not only deliver the application on-time, but make significant improvements to our existing core application.

Justin Catalana CEO, Fort Point Beer Company
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frequently asked questions

latest insights

read our blog
01
Machine Learning in Medical Field Usage Guide
Machine Learning in Medical Field Usage GuideCheck out how machine learning is used in healthcare, its impact, benefits and challenges, opportunities, applications in medical projects. Click to read.read more
02
AI in Banking: A Comprehensive Guide to the Future of Fintech
AI in Banking: A Comprehensive Guide to the Future of FintechArtificial intelligence for banks is gaining momentum in 2024. Here’s what that means for banks and how EPAM Startups & SMBs can help.read more
03
AI in the Retail Industry: Solutions Improving Customer Experience
AI in the Retail Industry: Solutions Improving Customer ExperienceCheck out our guide on technologies, use cases and examples of artificial intelligence in the retail business and how it can benefit from AI. Click to read!read more
read our blog