Machine learning consulting

Machine learning consulting

Machine learning consulting streamlines the deployment of ML solutions powered by self-learning algorithms and designed to enhance decision-making and operational efficiency. Itransition offers its ML expertise to help companies get the most out of this technology and overcome adoption challenges.

Why choose Itransition

25+ years in IT consulting and software development services

5+ years of experience in machine learning consulting and development

Standing partnerships with Microsoft and AWS

Delivering AI solutions in full adherence to HIPPA, GDPR, FDA, and other standards and regulations

Client spotlight

ML-powered BI platform


buyer conversion rate

Itransition delivered an advanced BI platform with an ML-powered recommender system and computer vision capabilities to help the customer predict user behavior and personalize customer interactions.

ML-based shoppable video platform


customer satisfaction

Our team enhanced a video ecommerce platform with ML-based functionalities, allowing the customer to create shoppable images and videos for online channels and provide a frictionless ecommerce experience.

Our customers say

Over the course of our collaboration with Itransition, we were consistently impressed with both skill and dedication their team employed to fulfill our business needs. Itransition’s involvement extended beyond the technical realization of the project, they acted as consultants, continuously helping us hone the project vision and suggesting approaches that would be best suited for the intricacies of our business.

Dr Sarah Melville

Media Director, YouGov Sport

The scope of our machine learning consulting services

The scope of our machine learning consulting services
  • Identifying business needs via discovery workshops, interviews, and process observations
  • Selecting use cases where it makes sense to opt for ML over conventional software
  • Assessing the customer’s current technical environment
  • Helping define the solution’s functional and non-functional requirements
  • Defining dataset requirements
  • Assisting with data sources selection
  • Assessing the quality of available data
  • Advising on data analysis and cleaning
  • Assisting with data imputation or dimension reduction
  • Designing a data preprocessing pipeline
  • Offering guidance on the creation of a data analysis flow
  • Suggesting suitable machine learning techniques and ML algorithms
  • Helping select a technology stack
  • Detailing the ML solution’s architecture
  • Advising on UX/UI design
  • Planning the development stages (PoC, MVP, and main releases)
  • Developing testing strategies
  • Advising on ML model performance assessment
  • Defining the project's goals, scope, deliverables, and timeframe
  • Monitoring data preprocessing tasks
  • Providing guidance on ML model training
  • Keeping track of the solution’s development progress
  • Ensuring adherence to ML implementation guidelines
  • Offering recommendations on the ML model’s security and compliance
  • Selecting suitable deployment environments
  • Defining an ML deployment strategy
  • Offering guidance on ML model integration into corporate software
  • Providing assistance with ML model scalability in the target environment
  • Ensuring the ML model’s performance and security
  • Assessing the adherence to ML integration and testing guidelines
  • Setting up a maintenance plan
  • Assisting with ML model performance monitoring and issue detection
  • Advising on the need for ML model retraining
  • Defining a continuous improvement strategy
  • Providing ongoing user training and support

Looking for a reliable tech partner for your ML project?

Contact us

Our machine learning expertise

Itransition’s ML skills include computer vision-powered solutions that can capture, process, and make sense of visual inputs from multimedia content or the physical world to extract valuable information and autonomously trigger certain actions.

Machine learning solutions across industries

Itransition provides ML consulting services to help our clients incorporate insights derived from big data into their healthcare practices and personalize treatments, achieve better medical outcomes, improve patient satisfaction, and reduce operating costs.


Entrust your machine learning project to Itransition

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Machine learning technologies we use

Our machine learning engineers have hands-on experience with major programming languages, libraries, frameworks, and third-party tools and services to build tailored ML solutions or improve the performance and resource usage of the existing ones.


  • Python

  • R

  • Objective-C

  • C++

  • Java/Kotlin

Benefits of turning to ML consultants

Optimized investment

Our machine learning consulting company can help your organization select an optimal tech stack and identify use cases requiring ML instead of conventional solutions.

Streamlined project planning

With the support of a machine learning consulting firm, you can set up a suitable ML development and implementation roadmap and accurately define timelines, budgets, tasks, teams, and iterations.

Faster rollout

Our ML consultants can complement your in-house experts to complete your ML project within a shorter time frame without recruiting and training additional talent.

Lower business risk

A team of ML consultants will help you address potential business or technical challenges (lack of training data, ML model bias, non-compliance, etc.) and mitigate related risks.

ML consulting FAQ

What engagement models do you offer?

How do you integrate the ML solution with our legacy systems?

How do you guarantee the safety of our information?

Do we need the infrastructure to train ML models?

What if we don’t have enough data for training models?